scholarly journals A Statistical Approach to Model the H-Index Based on the Total Number of Citations and the Duration from the Publishing of the First Article

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Mohammad Reza Mahmoudi ◽  
Marzieh Rahmati ◽  
Zulkefli Mansor ◽  
Amirhosein Mosavi ◽  
Shahab S. Band
Keyword(s):  
Nonlinear Regression ◽  
Research Funding ◽  
Statistical Approach ◽  
Practical Approach ◽  
H Index ◽  
Model Based ◽  
Funding Agencies ◽  
Number Of Citations ◽  
The Impact

The productivity of researchers and the impact of the work they do are a preoccupation of universities, research funding agencies, and sometimes even researchers themselves. The h-index (h) is the most popular of different metrics to measure these activities. This research deals with presenting a practical approach to model the h-index based on the total number of citations (NC) and the duration from the publishing of the first article (D1). To determine the effect of every factor (NC and D1) on h, we applied a set of simple nonlinear regression. The results indicated that both NC and D1 had a significant effect on h ( p  < 0.001). The determination of coefficient for these equations to estimate the h-index was 93.4% and 39.8%, respectively, which verified that the model based on NC had a better fit. Then, to record the simultaneous effects of NC and D1 on h, multiple nonlinear regression was applied. The results indicated that NC and D1 had a significant effect on h ( p  < 0.001). Also, the determination of coefficient for this equation to estimate h was 93.6%. Finally, to model and estimate the h-index, as a function of NC and D1, multiple nonlinear quartile regression was used. The goodness of the fitted model was also assessed.

The relationship between citations, downloads and alternative metrics in rheumatology publications: a bibliometric study

Rheumatology ◽  
2019 ◽  
Vol 59 (2) ◽  
pp. 277-280 ◽  
Author(s):  
Winnie M Y Chen ◽  
Marwan Bukhari ◽  
Francesca Cockshull ◽  
James Galloway
Keyword(s):  
Negative Binomial ◽  
Positive Association ◽  
Negative Binomial Regression ◽  
Significant Positive Association ◽  
H Index ◽  
Binomial Regression ◽  
Number Of Citations ◽  
The Impact ◽  
The Relationship ◽  
Alternative Metrics

Abstract Objective Scientific journals and authors are frequently judged on ‘impact’. Commonly used traditional metrics are the Impact Factor and H-index. However, both take several years to formulate and have many limitations. Recently, Altmetric—a metric that measures impact in a non-traditional way—has gained popularity. This project aims to describe the relationships between subject matter, citations, downloads and Altmetric within rheumatology. Methods Data from publications in Rheumatology were used. Articles published from 2010 to 2015 were reviewed. Data were analysed using Stata 14.2 (StataCorp, College Station, TX, USA). Correlation between citations, downloads and Altmetric were quantified using linear regression, comparing across disease topics. Relationship between downloads and months since publications were described using negative binomial regression, clustering on individual articles. Results A total of 1460 Basic Science and Clinical Science articles were identified, with the number of citations, downloads and Altmetric scores. There were no correlations between disease topic and downloads (R2 = 0.016, P = 0.03), citations (R2 = 0.011, P = 0.29) or Altmetric (R2 = 0.025, P = 0.02). A statistically significant positive association was seen between the number of citations and downloads (R2 = 0.29, P &lt; 0.001). No correlations were seen between Altmetric and downloads (R2 = 0.028, P &lt; 0.001) or citations (R2 = 0.004, P = 0.445). Conclusion Disease area did not correlate with any of the metrics compared. Correlations were apparent with clear links between downloads and citations. Altmetric identified different articles as high impact compared with citation or download metrics. In conclusion: tweeting about your research does not appear to influence citations.

scholarly journals HOW TO EVALUATE SCIENTIFIC PRODUCTION

2015 ◽  
Vol 42 (suppl 1) ◽  
pp. 17-19
Author(s):  
Alberto Azoubel Antunes
Keyword(s):  
Impact Factor ◽  
Critical Analysis ◽  
Scientific Production ◽  
Index Method ◽  
H Index ◽  
Scientific Papers ◽  
Evaluation Of Teaching ◽  
Number Of Citations ◽  
The Impact ◽  
Over Time

Objective: To conduct a critical analysis of the two main bibliometric indexes used by science: the impact factor and the H index. Method: Research was conducted on PubMed using the keywords: impact factor, Bibliometrics and H index. Results: The citations of articles tend to follow a curve in which the articles published in a given year increase sharply to a peak occurring between two and six years after its publication. From this peak citations decline over time. Conclusion: The analysis of the scientific merit should not be based on only in bibliometric measure, but in the association of various parameters. The impact factor and the H index is mainly based on the number of citations of scientific papers, and this parameter, although important, should not be used alone, nor overvalued in the evaluation of teaching merit.

scholarly journals Effect of Number of Versions on Receiving High Citations

2020 ◽  
Author(s):  
Nader Ale Ebrahim ◽  
Hadi Salehi
Keyword(s):  
Impact Factor ◽  
Google Scholar ◽  
H Index ◽  
Journal Quality ◽  
Scopus Database ◽  
Number Of Citations ◽  
The Impact ◽  
The Web

Nowadays, the h-index is an index that attempts to measure both the productivity and impact of the published work of a scientist or scholar. The index is based upon the set of the scientist's most cited papers and the number of citations that they have received in other publications. Besides, the most commonly used measure of journal quality is Impact Factor. This is a number which attempts to measure the impact of a journal in terms of the average number of citations to recent articles published in the journal. So, receiving more citation is very important for authors and journals to get high h-index and impact factor. In this paper, we tried to analyses the effect of the number of available version from the web on receive more citations. We analyzed 10162 papers which are published in Scopus database in year 2010. Then we developed a software to collect the number of citations and versions of each paper from Google Scholar automatically.

scholarly journals Determination of Bus Crowding Coefficient Based on Passenger Flow Forecasting

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Zhongyi Zuo ◽  
Wei Yin ◽  
Guangchuan Yang ◽  
Yunqi Zhang ◽  
Jiawen Yin ◽  
...  
Keyword(s):  
Cloud Model ◽  
Practical Significance ◽  
Loading Frequency ◽  
Rbf Neural Networks ◽  
Performance Measurements ◽  
Coefficient Identification ◽  
Passenger Flow ◽  
Model Based ◽  
The Impact

To improve bus passengers’ degree of comfort, it is necessary to determine the real-time crowd coefficient in the bus. With this concern, this paper employed the RBF Neural Networks approach to predict the number of passengers in the bus based on historical data. To minimize the impact of the randomness of passenger flow on the determination of bus crowd coefficient, a cloud model-based bus crowd coefficient identification method was proposed. This paper first selected the performance measurements for determining bus crowd coefficient and calculated the digital characteristics of the cloud model based on the boundary values of the selected performance measures under six Levels-of-Service (LOSs). Then the subclouds obtained under the six LOSs were synthesized into a standard cloud. According to the predicted number of passengers in the bus, the passenger density and loading frequency were calculated, which were imported into the cloud generator to set up the bus crowd coefficient identification model. By calculating the crowd degrees of identification cloud and template cloud at each site, this paper determined the crowed coefficient of each bus station. Finally, this paper took the bus line No. 10 in Dalian city as case study to verify the proposed model. It was found that the crowd coefficients of the selected route ranged from 60.265 to 109.825, and the corresponding LOSs ranged between C and F. The method of discriminating bus crowding coefficient can not only effectively determine the congestion coefficient, but also effectively avoid the fuzziness and randomness of the crowding coefficient judgment in the bus, which has strong theoretical and practical significance.

scholarly journals Effect of Number of Versions on Receiving High Citations

2020 ◽  
Author(s):  
Nader Ale Ebrahim ◽  
Hadi Salehi
Keyword(s):  
Impact Factor ◽  
Google Scholar ◽  
H Index ◽  
Journal Quality ◽  
Scopus Database ◽  
Number Of Citations ◽  
The Impact ◽  
The Web

Nowadays, the h-index is an index that attempts to measure both the productivity and impact of the published work of a scientist or scholar. The index is based upon the set of the scientist's most cited papers and the number of citations that they have received in other publications. Besides, the most commonly used measure of journal quality is Impact Factor. This is a number which attempts to measure the impact of a journal in terms of the average number of citations to recent articles published in the journal. So, receiving more citation is very important for authors and journals to get high h-index and impact factor. In this paper, we tried to analyses the effect of the number of available version from the web on receive more citations. We analyzed 10162 papers which are published in Scopus database in year 2010. Then we developed a software to collect the number of citations and versions of each paper from Google Scholar automatically.

scholarly journals A Corrected H-Index for Academic Leadership Determination: A Bibliographic Research

2020 ◽  
pp. 1-8
Keyword(s):  
Collaborative Research ◽  
Academic Leadership ◽  
Minor Role ◽  
H Index ◽  
Academic Medical ◽  
Medical Leadership ◽  
Number Of Citations ◽  
Citation Databases

Academic medical leadership is closely related to scientific research productivity and publication. A researcher’s h-index is based on his/her most cited papers and the number of citations that they have received in other’s publications. It is generally determined by knowing the number of articles written by the author indexed in citation databases. An H-index will be 10 if 10 articles have received at least 10 citations. Ignoring the order and authorship role of an individual researcher may lead to rather a misleading H-index that is totally not relevant to academic leadership determination. The publishing of research conducted by a large collaborative research group made many collaborators with minor role in research creation, development and leadership obtain a high misleading H-index and is not correlated with their academic and research prowess. The use of methods that increase the reliability of the H-index has been increasingly recommended. The aim of this paper is to describe the determination of a more accurate, non- misleading H-index that is more relevant to academic leadership determination.

The Impact of Anglicizing Former German-Language Psychology Journals on Authorship and Citation Frequencies

2012 ◽  
Vol 17 (3) ◽  
pp. 190-198 ◽  
Author(s):  
Günter Krampen ◽  
Thomas Huckert ◽  
Gabriel Schui
Keyword(s):  
Side Effects ◽  
English Language ◽  
General Trend ◽  
Native Language ◽  
Impact Factors ◽  
German Language ◽  
Journal Articles ◽  
Number Of Citations ◽  
The Impact ◽  
Number Of Authors

Exemplary for other than English-language psychology journals, the impact of recent Anglicization of five former German-language psychology journals on (1) authorship (nationality, i.e., native language, and number of authors, i.e., single or multiple authorships), (2) formal characteristics of the journal (number of articles per volume and length of articles), and (3) number of citations of the articles in other journal articles, the language of the citing publications, and the impact factors (IF) is analyzed. Scientometric data on these variables are gathered for all articles published in the four years before anglicizing and in the four years after anglicizing the same journal. Results reveal rather quick changes: Citations per year since original articles’ publication increase significantly, and the IF of the journals go up markedly. Frequencies of citing in German-language journals decrease, citing in English-language journals increase significantly after the Anglicization of former German-language psychology journals, and there is a general trend of increasing citations in other languages as well. Side effects of anglicizing former German-language psychology journals include the publication of shorter papers, their availability to a more international authorship, and a slight, but significant increase in multiple authorships.

The unknown acquaintance, or the impact factor and others

2007 ◽  
Vol 148 (4) ◽  
pp. 165-171
Author(s):  
Anna Berhidi ◽  
Edit Csajbók ◽  
Lívia Vasas
Keyword(s):  
Impact Factor ◽  
Citation Analysis ◽  
Index Number ◽  
Scientific Performance ◽  
H Index ◽  
Master List ◽  
The Many ◽  
The Impact

Nobody doubts the importance of the scientific performance’s evaluation. At the same time its way divides the group of experts. The present study mostly deals with the models of citation-analysis based evaluation. The aim of the authors is to present the background of the best known tool – Impact factor – since, according to the authors’ experience, to the many people use without knowing it well. In addition to the „nonofficial impact factor” and Euro-factor, the most promising index-number, h-index is presented. Finally new initiation – Index Copernicus Master List – is delineated, which is suitable to rank journals. Studying different indexes the authors make a proposal and complete the method of long standing for the evaluation of scientific performance.

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