Microsoft academic search and Google scholar citations: Comparative analysis of author profiles

2014 ◽  
Vol 65 (6) ◽  
pp. 1149-1156 ◽  
Author(s):  
José Luis Ortega ◽  
Isidro F. Aguillo
Keyword(s):  
Comparative Analysis ◽  
Google Scholar ◽  
Microsoft Academic ◽  
Academic Search

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 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.

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 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.

scholarly journals Ranking by Relevance and Citation Counts, a Comparative Study: Google Scholar, Microsoft Academic, WoS and Scopus

2019 ◽  
Vol 11 (9) ◽  
pp. 202 ◽  
Author(s):  
Rovira ◽  
Codina ◽  
Guerrero-Solé ◽  
Lopezosa
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Web Of Science ◽  
Growth Potential ◽  
Google Scholar ◽  
Unexpected Finding ◽  
Ranking Algorithms ◽  
Microsoft Academic ◽  
Citation Counts ◽  
The Impact

Search engine optimization (SEO) constitutes the set of methods designed to increase the visibility of, and the number of visits to, a web page by means of its ranking on the search engine results pages. Recently, SEO has also been applied to academic databases and search engines, in a trend that is in constant growth. This new approach, known as academic SEO (ASEO), has generated a field of study with considerable future growth potential due to the impact of open science. The study reported here forms part of this new field of analysis. The ranking of results is a key aspect in any information system since it determines the way in which these results are presented to the user. The aim of this study is to analyze and compare the relevance ranking algorithms employed by various academic platforms to identify the importance of citations received in their algorithms. Specifically, we analyze two search engines and two bibliographic databases: Google Scholar and Microsoft Academic, on the one hand, and Web of Science and Scopus, on the other. A reverse engineering methodology is employed based on the statistical analysis of Spearman’s correlation coefficients. The results indicate that the ranking algorithms used by Google Scholar and Microsoft are the two that are most heavily influenced by citations received. Indeed, citation counts are clearly the main SEO factor in these academic search engines. An unexpected finding is that, at certain points in time, Web of Science (WoS) used citations received as a key ranking factor, despite the fact that WoS support documents claim this factor does not intervene.

scholarly journals How to measure fatigue among pilots?

2018 ◽  
Vol 6 (1) ◽  
pp. 13-21
Author(s):  
Andrej Jerman ◽  
Maja Meško
Keyword(s):  
Content Analysis ◽  
Literature Review ◽  
Case Studies ◽  
Qualitative Data ◽  
Meta Analysis ◽  
Google Scholar ◽  
Aviation Industry ◽  
Subjective Fatigue ◽  
Objective Tests ◽  
Academic Search

Fatigue represents a major problem in aviation. Therefore, it is important to identify fatigue among pilots early enough before an incident or an accident occurs. The aim of our study has been to conduct a literature review on measurements of fatigue among pilots; to find out which measurements are used to recognize fatigue and what the results of conducted studies are with the focus on the usefulness of tests for measuring fatigue. The findings are based on meta-analysis. For the purpose of our study, we have used electronic databases Google Scholar, Emerald, MedLit and Academic Search Complete. The content analysis of the articles has been used to summarize and compare qualitative data. The results obtained show that tests for measuring fatigue can be divided into two groups, objective tests and subjective tests. Pilots’ subjective fatigue is mostly evaluated using Samn-Perelli fatigue scale, which is widely used in the aviation industry and it provides data for comparison. The contribution of our study is the widened understanding of fatigue measuring and usefulness of these measurements among pilots. The findings of our research are descriptive in nature. Further studies should be focused on deeper investigation of this topic and could include case studies of fatigue among pilots with qualitative data.

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