Ranking top economics and finance journals using Microsoft academic search versus Google scholar: How does the new publish or perish option compare?

2014 ◽  
Vol 65 (5) ◽  
pp. 1079-1084 ◽  
Author(s):  
M. Ryan Haley
Keyword(s):  
Google Scholar ◽  
Publish Or Perish ◽  
Microsoft Academic ◽  
Academic Search

scholarly journals Modelo de maturidade em Gestão do Conhecimento: uma visão diacrônica

Em Questão ◽  
2021 ◽  
Vol 27 (3) ◽  
pp. 350-374
Author(s):  
Anderson Luis Cambraia Itaborahy ◽  
Renato Plácido Mathias Machado ◽  
Lillian Maria Araújo de Resende Alvares
Keyword(s):  
Google Scholar ◽  
Publish Or Perish ◽  
Microsoft Academic ◽  
Academic Search

Propõe um modelo de maturidade em gestão do conhecimento, a partir de levantamento na literatura dos modelos existentes, observados os fundamentos e a evolução da gestão do conhecimento. O método utilizado foi a pesquisa exploratória qualitativa, com revisão de literatura científica baseado no rank criado pelo aplicativo de acesso livre Publish or Perish, utilizando uma variedade de fontes de dados científicas (incluindo Google Scholar e Microsoft Academic Search). O modelo resultante atende plenamente à ISO 30401 (Sistemas de Gestão do Conhecimento), com seis dimensões: Pessoas, Cultura, Governança, Processos, Arquitetura Organizacional e Infraestrutura e Tecnologia, representando os principais habilitadores do conhecimento, e seis níveis de maturidade: 0 - Indivíduo, 1 - Grupo, 2 -  Organização, 3 - Inovação, 4 - Rede, 5 – Plenitude, representando o caminho de evolução da gestão do conhecimento.O modelo proposto se baseia no conceito de conhecimento como um fenômeno social e mental que não pode ser gerenciado diretamente. Conclui-se, então que a maturidade da gestão do conhecimento numa organização pode ser representada como níveis de maturidade individuais para um conjunto de habilitadores do conhecimento. Isto constitui o perfil do sistema de Gestão do Conhecimento e mostra quão efetivo pode ser.

Self-presentation in scholarly profiles: Characteristics of images and perceptions of professionalism and attractiveness on academic social networking sites

First Monday ◽  
2016 ◽  
Author(s):  
Andrew Tsou ◽  
Timothy D. Bowman ◽  
Thomas Sugimoto ◽  
Vincent Lariviere ◽  
Cassidy R. Sugimoto
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Mechanical Turk ◽  
Google Scholar ◽  
Older Individuals ◽  
Self Presentation ◽  
Microsoft Academic ◽  
Amazon's Mechanical Turk ◽  
Profile Pictures ◽  
Academic Search

Online self-presentation is of increasing importance in modern life, from establishing and maintaining personal relationships to forging professional identities. Academic scholars are no exception, and a host of social networking platforms designed specifically for scholars abound. This study used Amazon’s Mechanical Turk service to code 10,500 profile pictures used by scholars on three platforms — Mendeley, Microsoft Academic Search, and Google Scholar — in order to determine how academics are presenting themselves to their colleagues and to the public at large and how they are perceived — particularly in relation to professionalism and attractiveness. The majority of the individuals on Mendeley, Microsoft Academic Search, and Google Scholar were Caucasian, male, and perceived to be over the age of 35. Females and younger individuals were perceived as less professional than male and older individuals, while women were more likely to be perceived as “attractive.” In addition, the Mechanical Turk coders were susceptible to framing; the individuals in the profile pictures were considered more “professional” if they were identified as “scholars” rather than merely as “individuals.” The results have far-reaching implications for self-presentation and framing, both for scholars and for other professionals. In the academic realm, there are serious implications for hiring and the allocation of resources and rewards.

scholarly journals Report on the 8th International Workshop on Bibliometric-Enhanced Information Retrieval (BIR 2019)

2019 ◽  
Vol 53 (1) ◽  
pp. 21-28
Author(s):  
Guillaume Cabanac ◽  
Ingo Frommholz ◽  
Philipp Mayr
Keyword(s):  
Information Retrieval ◽  
International Workshop ◽  
Google Scholar ◽  
Microsoft Academic ◽  
The One ◽  
Academic Search

The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackled issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics. BIR is a hot topic investigated by both academia (e.g., ArnetMiner, CiteSeer X , Doc-Ear) and the industry (e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar). This report presents the 8th iteration of the one-day BIR workshop held at ECIR 2019 in Cologne, Germany.

scholarly journals Índice H de los investigadores del Sistema Nacional de Investigadores (SNI) del área de las Ciencias Sociales en México

2016 ◽  
pp. 56-79
Author(s):  
Cristina Restrepo-Arango
Keyword(s):  
Web Of Science ◽  
Google Scholar ◽  
Publish Or Perish

Analizar la visibilidad de los investigadores del Sistema Nacional de Investigadores (SNI) en Web of Science (WoS), Scopus y Publish or Perish, mediante la búsqueda del índice h de 240 investigadores nacionales del área V de las ciencias sociales en México en Publish or Perish, Google Scholar Metrics, Web of Science y Scopus. Se encontró que los resultados muestran una gran polarización entre las 4 fuentes consultadas para obtener el índice h. La primera, Publish or Perish es la más incluyente en términos de citación, ya que se basa en las publicaciones que aparecen en el Google Académico y esto favorece enormemente los valores que obtuvieron los investigadores de las ciencias sociales mexicanas en el índice h. La segunda y tercera que son WoS y Scopus se caracterizan por una ausencia generalizada en la indización de revistas mexicanas de las ciencias sociales utilizadas por los investigadores para diseminar sus publicaciones. La cuarta, Google Scholar Metrics es una herramienta abierta y gratuita que al parecer no es usada por los investigadores de las ciencias sociales mexicanas.

scholarly journals A bibliometric study of Video Retrieval Evaluation Benchmarking (TRECVid): A methodological analysis

2011 ◽  
Vol 37 (6) ◽  
pp. 577-593 ◽  
Author(s):  
Clare V. Thornley ◽  
Shane J. McLoughlin ◽  
Andrea C. Johnson ◽  
Alan F. Smeaton
Keyword(s):  
Video Retrieval ◽  
Citation Count ◽  
Detailed Comparison ◽  
Bibliometric Study ◽  
Google Scholar ◽  
Academic Disciplines ◽  
Superior Performance ◽  
Publish Or Perish ◽  
Bibliographic Data ◽  
Cleaning Methods

This paper provides a discussion and analysis of methodological issues encountered during a scholarly impact and bibliometric study within the field of Computer Science (TRECVid Text Retrieval and Evaluation Conference, Video Retrieval Evaluation). The purpose of this paper is to provide a reflection and analysis of the methods used to provide useful information and guidance for those who may wish to undertake similar studies, and is of particular relevance for the academic disciplines which have publication and citation norms that may not perform well using traditional tools. Scopus and Google Scholar are discussed and a detailed comparison of the effects of different search methods and cleaning methods within and between these tools for subject and author analysis is provided. The additional database capabilities and usefulness of ‘Scopus More’ in addition to ‘Scopus General’ are discussed and evaluated. Scopus paper coverage is found to favourably compare with Google Scholar but Scholar consistently has superior performance at finding citations to those papers. These additional citations significantly increase the citation totals and also change the relative ranking of papers. Publish or Perish, a software wrapper for Google Scholar, is also examined and its limitations and some possible solutions are described. Data cleaning methods, including duplicate checks, expert domain checking of bibliographic data, and content checking of retrieved papers, are compared and their relative effects on paper and citation count discussed. Google Scholar and Scopus are also compared as tools for collecting bibliographic data for visualizations of developing trends and, owing to the comparative ease of collecting abstracts, Scopus is found far more effective.

scholarly journals Interviewing and Hiring Practices in Brazilian Academia: Proposals Towards Improvement

Societies ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 57
Author(s):  
Eva O.L. Lantsoght ◽  
Miguel Abambres ◽  
Tiago Ribeiro ◽  
Ana Sousa
Keyword(s):  
Information System ◽  
Current Situation ◽  
Hiring Practices ◽  
Google Scholar ◽  
Assessment Criteria ◽  
Faculty Positions ◽  
Microsoft Academic

Though Brazilian academia claims equality, the sector has largely been referred to as non-meritocratic, and academic hiring is still inward-oriented. The Lattes platform, a public curricular information system, reflects elements of this protectionism. This article assesses two ‘obsessions’ in Brazilian academia: the ‘mandatory’ Lattes CV, and the assessment criteria and procedures in public tenders for faculty positions. The current situation is introduced to the reader, and the shortcomings of these methods and their effect on academia in Brazil are analyzed. The following improvements are proposed: (1) evaluations in public tenders based on a candidate’s CV, interview, and a sample lecture, (2) removing the Lattes CV as a mandatory format, and (3) using platforms such as Microsoft Academic, Google Scholar, ORCID or ResearcherID for curricular information. With these recommendations, Brazil can move towards a more open and international-oriented academic hiring system.

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