Pardeep Sud
Impact in
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- scientometrics and bibliometrics research
- Communication top 5%
- Social Media and Politics
Papers in
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- scientometrics and bibliometrics research 12
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- Complex Network Analysis Techniques 6
- Co-authors
- Mike A Thelwall (16 shared papers)Farida Vis (1 shared paper)David Andrew Wilkinson (2 shared papers)Carol Bailey (1 shared paper)Meiko Makita (1 shared paper)
- Journals
- Journal of Informetrics (4 papers)Journal of the Association for Information Science and Technology (3 papers)Scientometrics (3 papers)Quantitative Science Studies (2 papers)El Profesional de la Informacion (1 paper)
- Partner nations
- United KingdomIndiaPortugal
In The Last Decade
Pardeep Sud
16 papers receiving 742 citations
Peers
Comparison fields: 5 of 121
- Statistics, Probability and Uncertainty 339
- Communication 116
- Information Systems and Management 77
- Information Systems 240
- History and Philosophy of Science 47
Countries citing papers authored by Pardeep Sud
This map shows the geographic impact of Pardeep Sud's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pardeep Sud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pardeep Sud more than expected).
Fields of papers citing papers by Pardeep Sud
This network shows the impact of papers produced by Pardeep Sud. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pardeep Sud. The network helps show where Pardeep Sud may publish in the future.
Co-authors
The 5 scholars most cited alongside Pardeep Sud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 199 | |
| 2 | 2011 | 154 | |
| 3 | 2022 | 114 | |
| 4 | 2015 | 55 | |
| 5 | 2015 | 51 | |
| 6 | 2011 | 47 | |
| 7 | 2018 | 40 | |
| 8 | 2011 | 28 | |
| 9 | 2012 | 20 | |
| 10 | 2015 | 20 | |
| 11 | 2014 | 16 | |
| 12 | 2013 | 12 | |
| 13 | 2014 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 5 |
About Pardeep Sud
Pardeep Sud is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, History and Philosophy of Science, Information Systems and Information Systems and Management, having authored 16 papers that have together received 789 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (12 papers), Web visibility and informetrics (7 papers), Complex Network Analysis Techniques (6 papers), Academic Writing and Publishing (4 papers), Academic Publishing and Open Access (2 papers), Social Media and Politics (1 paper), Hate Speech and Cyberbullying Detection (1 paper) and Sex and Gender in Healthcare (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (339 citations), Communication (116 citations), Information Systems and Management (77 citations), Information Systems (240 citations) and History and Philosophy of Science (47 citations). Pardeep Sud has collaborated with scholars based in United Kingdom, India and Portugal. Frequent co-authors include Mike A Thelwall, Farida Vis, David Andrew Wilkinson, Carol Bailey and Meiko Makita. Their work appears in journals such as Journal of Informetrics, Journal of the Association for Information Science and Technology, Scientometrics, Quantitative Science Studies and El Profesional de la Informacion.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.