Hadi Farhadi

Bio: Hadi Farhadi is an academic researcher from Islamic Azad University, Isfahan. The author has contributed to research in topics: Scopus & Impact factor. The author has an hindex of 9, co-authored 29 publications receiving 1303 citations. Previous affiliations of Hadi Farhadi include National University of Malaysia & Islamic Azad University.

A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases

Abstract: Nowadays, the world’s scientific community has been publishing an enormous number of papers in different scientific fields. In such environment, it is essential to know which databases are equally efficient and objective for literature searches. It seems that two most extensive databases are Web of Science and Scopus. Besides searching the literature, these two databases used to rank journals in terms of their productivity and the total citations received to indicate the journals impact, prestige or influence. This article attempts to provide a comprehensive comparison of these databases to answer frequent questions which researchers ask, such as: How Web of Science and Scopus are different? In which aspects these two databases are similar? Or, if the researchers are forced to choose one of them, which one should they prefer? For answering these questions, these two databases will be compared based on their qualitative and quantitative characteristics.

A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases

Abstract: Nowadays, the world’s scientific community has been publishing an enormous number of papers in different scientific fields. In such environment, it is essential to know which databases are equally efficient and objective for literature searches. It seems that two most extensive databases are Web of Science and Scopus. Besides searching the literature, these two databases used to rank journals in terms of their productivity and the total citations received to indicate the journals impact, prestige or influence. This article attempts to provide a comprehensive comparison of these databases to answer frequent questions which researchers ask, such as: How Web of Science and Scopus are different? In which aspects these two databases are similar? Or, if the researchers are forced to choose one of them, which one should they prefer? For answering these questions, these two databases will be compared based on their qualitative and quantitative characteristics.

Prevalence of Internet-based addictive behaviors during COVID-19 pandemic: a systematic review.

Abstract: With the outbreak of the COVID-19 worldwide pandemic, many countries have imposed lockdowns which have caused an increase in Internet use. As large-scale disasters may have an impact on addictions, a review on Internet-based addictive behaviors seems necessary. The goals of this review are to find whether Internet-based addictive behaviors have increased during the pandemic and to define the main reasons for this increase. The systematic search was conducted in Google Scholar, Science Direct, PsycINFO, and PubMed in October of 2020, to determine the current evidence and observations concerning the Internet-based addictive behaviors amid COVID-19. Studies were included if they considered the Internet-based addictive behaviors during the current pandemic. We used all the names of the coronavirus 2 (SARS-CoV2 previously 2019 nCoV), the name of the coronavirus disease 2019 (COVID-19), and common Internet-based addictive behaviors, namely Internet addiction, online gaming disorder, online gambling disorder, pornography use, and smartphone use disorder. The study design is PEOs, finding if individuals' exposure to the COVID-19 pandemic has caused an increase in Internet-based addictive behaviors. The quality of the studies was assessed independently by two authors using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The articles found in this review proved an increase in Internet-based addictive behaviors during the COVID-19 pandemic mostly due to financial hardships, isolation, problematic substance use, and mental health issues such as depression, anxiety, and stress. Effective interventions should be scaled up to prevent and reduce online addictive behaviors, as well as accessible guidelines, particularly for adolescents.

Agreeableness and Conscientiousness as Antecedents of Deviant Behavior in Workplace

Abstract: In recent years, there has been an increase in the interest of workplace deviant behavior (WDB) among industrial and organizational psychologists. Many scholars believe that WDB decreases overall organizational productivity. The main purpose of this study was to investigate the relationship of both agreeableness and conscientiousness (two factors of big five model of personality traits) with deviant behavior. The study also looked at the role of two demographic factors (gender and age) on deviant behavior in workplace. Data were collected from 212 subjects who were working as civil servants in Malaysia using a set of questionnaire that measures the variables studied. The results showed that personality traits predicted workplace deviant behavior. There were negative relationships between agreeableness and conscientiousness with workplace deviance. Although the findings of the present study showed differences in WDB between subjects with different age levels, it was unable to find differences in WDB between subjects with different gender. Implications for future research are discussed.

国际刊物《Scientometrics》文献计量研究

Abstract: 本文对国际科学计量学杂志《Ｓｃｉｅｎｔｏｍｅｔｒｉｃｓ》１９７９－１９９１年的研究论文内容、栏目、作者及国别和编委及国别作了计量分析，揭示出科学计量学研究的重点、活动的中心及发展趋势，说明了学科带头人在发展科学计量学这门新兴学科中的作用。

Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases

Abstract: Information on the size of academic search engines and bibliographic databases (ASEBDs) is often outdated or entirely unavailable. Hence, it is difficult to assess the scope of specific databases, such as Google Scholar. While scientometric studies have estimated ASEBD sizes before, the methods employed were able to compare only a few databases. Consequently, there is no up-to-date comparative information on the sizes of popular ASEBDs. This study aims to fill this blind spot by providing a comparative picture of 12 of the most commonly used ASEBDs. In doing so, we build on and refine previous scientometric research by counting query hit data as an indicator of the number of accessible records. Iterative query optimization makes it possible to identify a maximum number of hits for most ASEBDs. The results were validated in terms of their capacity to assess database size by comparing them with official information on database sizes or previous scientometric studies. The queries used here are replicable, so size information can be updated quickly. The findings provide first-time size estimates of ProQuest and EbscoHost and indicate that Google Scholar’s size might have been underestimated so far by more than 50%. By our estimation Google Scholar, with 389 million records, is currently the most comprehensive academic search engine.