The Most Influential Researchers in iMetrics: A Compound Look at Influence Indicators
Purpose: Using both ideational and social influences’ indicators, this study tries to identify and analyze the most influential researchers in iMetrics. To do so, the researchers used a combination of H family indexes (h-index, g-index, and contemporary h-index) and co-authorship centralities (degre...
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| Format: | Article |
| Language: | fas |
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University of Tehran
2015-03-01
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| Series: | تحقیقات کتابداری و اطلاعرسانی دانشگاهی |
| Subjects: | |
| Online Access: | https://jlib.ut.ac.ir/article_56962_d83b9e48a2a450159ac225ef98759ca1.pdf |
| _version_ | 1828049310389895168 |
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| author | Faramarz Soheili Hadi Sharif Moghaddam Afshin Mousavi Chelak Ali Akbar Khasseh |
| author_facet | Faramarz Soheili Hadi Sharif Moghaddam Afshin Mousavi Chelak Ali Akbar Khasseh |
| author_sort | Faramarz Soheili |
| collection | DOAJ |
| description | Purpose: Using both ideational and social influences’ indicators, this study tries to identify and analyze the most influential researchers in iMetrics. To do so, the researchers used a combination of H family indexes (h-index, g-index, and contemporary h-index) and co-authorship centralities (degree, betweenness, and closeness) for calculating ideational and social influences, respectively.Methods: The study uses a bibliometric methodology and social network analysis approaches. The initial data of this study, which comprises 5944 records in the field of iMetrics during 1978-2014, have been retrieved from Web of Science. UCINet and BibExcel software have been used to calculate centrality measures and h-index; g-index and contemporary h-index have been measured manually within Excel. Once all measures have been calculated, researchers used SPSS and LISREL statistical software packages.Findings: Findings indicated that there is a significant correlation between social influence indicators and researchers’ performance. Moreover, the results of LISREL uncovered a significant correlation between ideational indicators and social ones.Conclusions: Based on the findings revealed in this study, it seems that using balanced and compound bibliometric indicators has the capability to provide a relatively fair and clear insight on researchers’ influence in a specific field. In this way, it is possible to create individual profiles for all of researchers in that field. So that the result could be used for important decisions such as tenure and promotion committees, granting research projects, and the like. |
| first_indexed | 2024-04-10T19:09:56Z |
| format | Article |
| id | doaj.art-8866210d2f104f38ad55abbeda0270bc |
| institution | Directory Open Access Journal |
| issn | 2783-4638 |
| language | fas |
| last_indexed | 2024-04-10T19:09:56Z |
| publishDate | 2015-03-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | تحقیقات کتابداری و اطلاعرسانی دانشگاهی |
| spelling | doaj.art-8866210d2f104f38ad55abbeda0270bc2023-01-30T18:58:58ZfasUniversity of Tehranتحقیقات کتابداری و اطلاعرسانی دانشگاهی2783-46382015-03-01491235410.22059/jlib.2015.5696256962The Most Influential Researchers in iMetrics: A Compound Look at Influence IndicatorsFaramarz Soheili0Hadi Sharif Moghaddam1Afshin Mousavi Chelak2Ali Akbar Khasseh3PhD in Knowledge and Information Science; Assistant Professor; Payame Noor University; Tehran, IranPhD in Knowledge and Information Science; Associated Professor; Payame Noor University; Tehran, IranPhD in Knowledge and Information Science; Assistant Professor; Payame Noor University; Tehran, IranPhD Candidate in Knowledge and Information Science; Payame Noor University; Tehran, IranPurpose: Using both ideational and social influences’ indicators, this study tries to identify and analyze the most influential researchers in iMetrics. To do so, the researchers used a combination of H family indexes (h-index, g-index, and contemporary h-index) and co-authorship centralities (degree, betweenness, and closeness) for calculating ideational and social influences, respectively.Methods: The study uses a bibliometric methodology and social network analysis approaches. The initial data of this study, which comprises 5944 records in the field of iMetrics during 1978-2014, have been retrieved from Web of Science. UCINet and BibExcel software have been used to calculate centrality measures and h-index; g-index and contemporary h-index have been measured manually within Excel. Once all measures have been calculated, researchers used SPSS and LISREL statistical software packages.Findings: Findings indicated that there is a significant correlation between social influence indicators and researchers’ performance. Moreover, the results of LISREL uncovered a significant correlation between ideational indicators and social ones.Conclusions: Based on the findings revealed in this study, it seems that using balanced and compound bibliometric indicators has the capability to provide a relatively fair and clear insight on researchers’ influence in a specific field. In this way, it is possible to create individual profiles for all of researchers in that field. So that the result could be used for important decisions such as tenure and promotion committees, granting research projects, and the like.https://jlib.ut.ac.ir/article_56962_d83b9e48a2a450159ac225ef98759ca1.pdfsocial influenceideational influenceco-authorshiph-index |
| spellingShingle | Faramarz Soheili Hadi Sharif Moghaddam Afshin Mousavi Chelak Ali Akbar Khasseh The Most Influential Researchers in iMetrics: A Compound Look at Influence Indicators تحقیقات کتابداری و اطلاعرسانی دانشگاهی social influence ideational influence co-authorship h-index |
| title | The Most Influential Researchers in iMetrics: A Compound Look at Influence Indicators |
| title_full | The Most Influential Researchers in iMetrics: A Compound Look at Influence Indicators |
| title_fullStr | The Most Influential Researchers in iMetrics: A Compound Look at Influence Indicators |
| title_full_unstemmed | The Most Influential Researchers in iMetrics: A Compound Look at Influence Indicators |
| title_short | The Most Influential Researchers in iMetrics: A Compound Look at Influence Indicators |
| title_sort | most influential researchers in imetrics a compound look at influence indicators |
| topic | social influence ideational influence co-authorship h-index |
| url | https://jlib.ut.ac.ir/article_56962_d83b9e48a2a450159ac225ef98759ca1.pdf |
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