scholarly journals Identifying Major Research Areas and Minor Research Themes of Android Malware Analysis and Detection Field Using LSA

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-28
Author(s):  
Deepak Thakur ◽  
Jaiteg Singh ◽  
Gaurav Dhiman ◽  
Mohammad Shabaz ◽  
Tanya Gera
Keyword(s):  
Evidence Synthesis ◽  
Research Literature ◽  
Research Trends ◽  
Intellectual Structure ◽  
Future Research ◽  
Malware Analysis ◽  
High Quality Research ◽  
Android Malware ◽  
Research Areas ◽  
Future Research Directions

Contemporary technologies have ensured the availability of high-quality research data shared over the Internet. This has resulted in a tremendous availability of research literature, which keeps evolving itself. Thus, identification of core research areas and trends in such ever-evolving literature is not only challenging but interesting too. An empirical overview of contemporary machine learning methods, which have the potential to expedite evidence synthesis within research literature, has been explained. This manuscript proposes Simulating Expert comprehension for Analyzing Research trends (SEAR) framework, which can perform subjective and quantitative investigation over enormous literature. TRENDMINER is the use case designed exclusively for the SEAR framework. TRENDMINER uncovered the intellectual structure of a corpus of 444 abstracts of research articles (published during 2010–2019) on Android malware analysis and detection. The study concludes with the identification of three core research areas, twenty-seven research trends. The study also suggests the potential future research directions.

scholarly journals Charting research on international luxury marketing: where are we now and where should we go next?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cleopatra Veloutsou ◽  
George Christodoulides ◽  
Francisco Guzmán
Keyword(s):  
Research Area ◽  
Intellectual Structure ◽  
Current Status ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Research Areas ◽  
Mapping Analysis ◽  
Future Research Directions ◽  
Luxury Marketing

PurposeDespite luxury's increasing globalization and broadening scope via digitalization and new markets, the intellectual structure of the overall research corpus remains tenuous. This work therefore aims to provide an overview of published work on international luxury marketing and to contribute to a better understanding of the research area.Design/methodology/approachUsing a systematic approach, 1151 items (papers) were retrieved and 181 selected from the international luxury marketing field published before 2019. These items were analyzed by using various bibliometric techniques to identify the most productive countries, journals, influential authors, papers and research clusters.FindingsAlthough most of the outputs originate from business, management and marketing journals, other disciplines also research this topic. The analysis reveals an emerging field, with 85% of the published papers appearing between 2010 and 2018, which are primarily the output of US- and UK-based authors and none of whom dominates the field. The three identified keyword clusters are (1) consumers and consumption (2) tools and (3) core themes.Practical implicationsThis article contributes to our understanding of the evolution, current status and research trends of published research on international luxury marketing by presenting a mapping analysis and proposing future research directions.Originality/valueThis is the first bibliometric mapping analysis of research on the topic from its conception to 2019. It contributes insights from different research disciplines, adds to the categorization of the international luxury marketing literature and provides promising future research directions in terms of research areas and strategies.

Android Malware Detection Techniques: A Literature Review

2020 ◽  
Vol 14 ◽  
Author(s):  
Meghna Dhalaria ◽  
Ekta Gandotra
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Malware Detection ◽  
Future Research ◽  
Android Malware ◽  
Detection Techniques ◽  
Android Malware Detection ◽  
Future Research Directions ◽  
To Come ◽  
Tools And Techniques

Purpose: This paper provides the basics of Android malware, its evolution and tools and techniques for malware analysis. Its main aim is to present a review of the literature on Android malware detection using machine learning and deep learning and identify the research gaps. It provides the insights obtained through literature and future research directions which could help researchers to come up with robust and accurate techniques for classification of Android malware. Design/Methodology/Approach: This paper provides a review of the basics of Android malware, its evolution timeline and detection techniques. It includes the tools and techniques for analyzing the Android malware statically and dynamically for extracting features and finally classifying these using machine learning and deep learning algorithms. Findings: The number of Android users is expanding very fast due to the popularity of Android devices. As a result, there are more risks to Android users due to the exponential growth of Android malware. On-going research aims to overcome the constraints of earlier approaches for malware detection. As the evolving malware are complex and sophisticated, earlier approaches like signature based and machine learning based are not able to identify these timely and accurately. The findings from the review shows various limitations of earlier techniques i.e. requires more detection time, high false positive and false negative rate, low accuracy in detecting sophisticated malware and less flexible. Originality/value: This paper provides a systematic and comprehensive review on the tools and techniques being employed for analysis, classification and identification of Android malicious applications. It includes the timeline of Android malware evolution, tools and techniques for analyzing these statically and dynamically for the purpose of extracting features and finally using these features for their detection and classification using machine learning and deep learning algorithms. On the basis of the detailed literature review, various research gaps are listed. The paper also provides future research directions and insights which could help researchers to come up with innovative and robust techniques for detecting and classifying the Android malware.

A Review of Minimum Quantity Lubrication (MQL) based on Bibliometry

2020 ◽  
Vol 13 ◽  
Author(s):  
Gaurav Gaurav ◽  
Abhay Sharma ◽  
G S Dangayach ◽  
M L Meena
Keyword(s):  
Descriptive Analysis ◽  
Minimum Quantity Lubrication ◽  
Citation Network ◽  
Machining Process ◽  
Cutting Fluid ◽  
Future Research ◽  
Research Directions ◽  
Minimum Quantity ◽  
Research Areas ◽  
Future Research Directions

Background: Minimum quantity lubrication (MQL) is one of the most promising machining techniques that can yield a reduction in consumption of cutting fluid more than 90 % while ensuring the surface quality and tool life. The significance of the MQL in machining makes it imperative to consolidate and analyse the current direction and status of research in MQL. Objective: This study aims to assess global research publication trends and hot topics in the field of MQL among machining process. The bibliometric and descriptive analysis are the tools that the investigation aims to use for the data analysis of related literature collected from Scopus databases. Methods: Various performance parameters are extracted, such as document types and languages of publication, annual scientific production, total documents, total citations, and citations per article. The top 20 of the most relevant and productive sources, authors, affiliations, countries, word cloud, and word dynamics are assessed. The graphical visualisation of the bibliometric data is presented in terms of bibliographic coupling, citation, and co-citation network. Results: The investigation reveals that the International Journal of Machine Tools and Manufacture (2611 citations, 31 hindex) is the most productive journal that publishes on MQL. The most productive institution is the University of Michigan (32 publications), the most cited country is Germany (1879 citations), and the most productive country in MQL is China (124 publications). The study shows that ‘Cryogenic Machining’, ‘Sustainable Machining’, ‘Sustainability’, ‘Nanofluid’ and ‘Titanium alloy’ are the most recent keywords and indications of the hot topics and future research directions in the MQL field. Conclusion: The analysis finds that MQL is progressing in publications and the emerging with issues that are strongly associated with the research. This study is expected to help the researchers to find the most current research areas through the author’s keywords and future research directions in MQL and thereby expand their research interests.

The 100 most-cited articles in castration-resistant prostate cancer: a bibliometric analysis

2021 ◽  
Keyword(s):  
Cancer Research ◽  
Bibliometric Analysis ◽  
Future Research ◽  
Castration Resistant Prostate Cancer ◽  
Research Areas ◽  
Castration Resistant ◽  
The Usa ◽  
Future Research Directions ◽  
Different Characteristics ◽  
Number Of Citations

Purpose: To assess the present landscape and future research directions, a bibliometric analysis was performed to identify the characteristics of the 100 most-cited articles (T100 articles) on CRPC research. Methods: A list of the T100 articles investigating CRPC was generated by searching the Web of Science (WoS) Core Collection database. Different characteristics of the T100 articles, including the countries/territories, journals, authors, and research areas, were analyzed. Results: The number of citations of T100 articles published between 1992 and 2017 ranged from 282 to 3594, with an average of 654.9 citations. According to the topic of the article, ''Mechanisms related to tumor progression or metastasis'' ranked first with 41 T100 articles, while immunotherapy ranked fourth with 7 T100 articles. The T100 articles originated from 31 countries, with more than half originating from the USA (n = 89). Professor Scher HI published the most T100 articles as the first author (4) and as the corresponding author (5), while Pro De Bono JS from the Institute of Cancer Research published 3 articles as the first author and 8 articles as the corresponding author. The journal Cancer Research published 20 T100 articles with a total of 8946 citations. The number of T100 articles(r = 0.485, P = 0.01) and the total number of citations(r = 0.626, P < 0.001) were all positively correlated with the IF of the journal. Conclusions: This analysis offers a historical perspective on the progress and attempts to reveal future trends in CRPC research using bibliometric analysis. This study's results suggest that immunotherapy and the study of androgen receptors as well as their signaling axes will possibly be hot topics and trends in CRPC research.

Emerging trends in digital transformation: a bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raghu Nandan Chawla ◽  
Praveen Goyal
Keyword(s):  
Bibliometric Analysis ◽  
Business Models ◽  
Digital Technologies ◽  
Citation Network ◽  
Digital Transformation ◽  
Intellectual Structure ◽  
Future Research ◽  
Strategic Decisions ◽  
Content Type ◽  
Research Areas

PurposeUbiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.Design/methodology/approachBy performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.FindingsThe study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.Research limitations/implicationsThe study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.Practical implicationsFor the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.Originality/valueThis study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.

Business-IT Alignment Literature Review

2018 ◽  
Vol 31 (3) ◽  
pp. 34-53 ◽  
Author(s):  
Yu Jia ◽  
Nianxin Wang ◽  
Shilun Ge
Keyword(s):  
Citation Analysis ◽  
Knowledge Flows ◽  
Intellectual Structure ◽  
Future Research ◽  
Research Directions ◽  
It Alignment ◽  
Research Themes ◽  
Future Research Directions ◽  
Business It Alignment ◽  
New Perspective

The purpose of this article is to portray the knowledge evolution paths of business-IT alignment (BITA) research and identify a set of important papers in the development of BITA, and elucidate the intellectual structure of this field. This study collected 309 papers published during the period 1983-2015 from the Web of Science (WOS) database. Using a variety of bibliometric and visualization analytic techniques such as citation analysis, co-citation analysis and main path analysis, this article (1) delineates the significant knowledge flows of BITA research and identifies 15 important papers in this field; (2) graphically maps the influential countries, institutions, and journals of BITA research; (3) identifies four major research themes: BITA model, measurement, antecedents, and dynamics, and visualizing the relationships among them. Based on these findings, recommendations for the future research directions have suggested. This article provides IT practitioners, executives, and scholars with a new perspective to get a better understanding of BITA.

Optical Application improved with Logistics of Artificial Intelligent and Electronic Systems

2012 ◽  
pp. 439-455
Author(s):  
Miguel Basurto-Pensado ◽  
Carlos Alberto Ochoa Ortiz Zezzatti ◽  
Rosenberg Romero ◽  
Jesús Escobedo-Alatorre ◽  
Jessica Morales-Valladares ◽  
...  
Keyword(s):  
Personal Digital Assistant ◽  
Research Trends ◽  
Materials Characterization ◽  
Future Research ◽  
Electronic Systems ◽  
Computer Tool ◽  
Theoretical Concepts ◽  
C Language ◽  
Research Areas ◽  
Micro Drilling

Computer science and electronics have a very big incidence in several research areas; optics and photonics are not the exception. The utilization of computers, electronic systems, and devices has allowed the authors to develop several projects to control processes. A description of the computer tool called Laser Micro-Lithography (LML) to characterize materials is realized. The Reasoning Based on Cases (RBC) and its implementation in the software using Java are presented. In order to guarantee the lithography precision, a control system based on a microcontroller was developed and coupled to the mechanical system. An alternative of LML, considering the use of a Personal Digital Assistant (PDA), instead of a Personal Computer (PC) is described. In this case, C language is used for programming. RBC optimizes the materials characterization, recovering information of materials previously characterized. The communication between the PDA and the displacement table is achieved by means of a system based on a micro-controller DSPIC. The developed computers tool permits obtaining lithography with channels narrower than an optical fiber with minimum equipment. The development of irradiance meters based on electronic automation is shown; this section includes the basic theoretical concepts, the experimental device design and the experimental results. Future research trends are presented, and as a consequence of the developed work, perspectives of micro drilling and cutting are also analyzed.

The Intellectual Structure in Brands and Branding Research

2015 ◽  
pp. 167-200
Author(s):  
Jiaxun He ◽  
Cheng Lu Wang
Keyword(s):  
Brand Management ◽  
Developed Countries ◽  
Intellectual Structure ◽  
Future Research ◽  
Research Paradigm ◽  
Systematic Analysis ◽  
The Social ◽  
Publication Time ◽  
Future Research Directions ◽  
Social Sciences Citation Index

This chapter is based on a comprehensive and systematic analysis of the 30 most-cited articles (adjusting to the length of publication time) on brands and branding, retrieved from the Social Sciences Citation Index (SSCI) database (1975-2008). Following the multidimensional scaling method and social network analysis, the results demonstrate five major subareas, which are characterized with different but interrelated intellectual structures. Among the selected core literature, a few theoretical or empirical articles play a key role in incubating or developing a research paradigm. Based on the analysis results, the authors observe that those five major domains and a relatively small number of seminal papers have important impacts on shaping the research paradigm with a lasting effect on future research directions. On the other hand, the authors argue that existing research on brands and branding has been dominantly focused on Western developed countries while brand management issues in emerging markets have been largely ignored and therefore deserve special attention in future research.

scholarly journals Port City Sustainability: A Review of Its Research Trends

2020 ◽  
Vol 12 (20) ◽  
pp. 8355
Author(s):  
Ying Zheng ◽  
Jingzhu Zhao ◽  
Guofan Shao
Keyword(s):  
Negative Impact ◽  
Relevant Literature ◽  
Past Research ◽  
Future Research ◽  
Port City ◽  
Port Cities ◽  
Research Areas ◽  
Research Fields ◽  
Sustainability Research ◽  
Future Research Directions

In recent years, with the development of society, the awareness of environmental protection for people has been increasing. While ports promote the economic development and employment levels of port cities, they also have a negative impact on the environment of port cities. The sustainability of port cities is increasingly valued. Port cities face huge challenges, and their sustainability needs to be better understood. The purpose of this article is to review research on the sustainability of port cities. We used content analysis to classify and analyze the existing relevant literature, to learn about the hotspots and deficiencies of past research, and to propose future research directions. We found that port sustainability has become an increasingly important research topic during the past ten years. From the perspective of geographic research areas, European port cities are the hot spots for sustainability research. Regarding research fields, technologies, methods and measures to promote the sustainability of port cities are popular research topics. In terms of research methods, qualitative research plays an important role in the study of port city sustainability. Finally, guidance for future research on port city sustainability is proposed according to the review results.

scholarly journals Supply chain risk management modelling: A systematic literature network analysis review

2020 ◽  
Vol 31 (4) ◽  
pp. 387-416
Author(s):  
Marcus Vinicius Carvalho Fagundes ◽  
Eduardo Oliveira Teles ◽  
Silvio A B Vieira de Melo ◽  
Francisco Gaudêncio Mendonça Freires
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Network Analysis ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Risk Models ◽  
Research Directions ◽  
Research Areas ◽  
Future Research Directions

Abstract The modelling of supply chain risk management (SCRM) has attracted increasing attention from researchers and professionals. However, a systematic network analysis of the literature to understand the development of research over time is lacking. Therefore, this study reviews SCRM modelling and its evolution as a scientific field. We collected 566 papers published in the Scopus database and shortlisted 120 for review. We have analysed the field's performance, mapped the most influential studies, as well as the generative and evolutionary research areas, and derived future research directions. Using bibliometric methods and tools for citation network analysis to understand the field's dynamic development, we find that five generative research areas provide the fundamental knowledge for four evolutionary research areas. The interpretation of gaps and trends in these areas provides an SCRM modelling timeline with 14 future research directions, which should consider adopting a holistic SCRM approach and developing prescriptive and normative risk models. The holistic approach enables more research on key factors—like process integration, design, information risk, visibility and risk coordination—that directly impact industry, decision-makers and sustainability needs. Risk models with evolved prescriptive and normative typology should respect both business model strategies and actual supply chain performance.

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