Satyam Mukherjee
- Statistics, Probability and Uncertainty top 0.5%
- Economics and Econometrics top 5%
- Sociology and Political Science top 5%
- Statistical and Nonlinear Physics top 2%
- Strategy and Management top 5%
- Co-authors
- Brian UzziBenjamin F. JonesMichael J. StringerCaroline S. WagnerTravis A. WhetsellXiao Han T. ZengHaroldo V. RibeiroYifang Ma
- Topics
- Complex Network Analysis Techniques (7 papers)Sports Analytics and Performance (6 papers)scientometrics and bibliometrics research (6 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementManagement of Technology and Innovation
- Journals
- ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Satyam Mukherjee
33 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Statistics, Probability and Uncertainty 501
- Economics and Econometrics 334
- Sociology and Political Science 281
- Statistical and Nonlinear Physics 246
- Strategy and Management 210
Countries citing papers authored by Satyam Mukherjee
This map shows the geographic impact of Satyam Mukherjee'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 Satyam Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satyam Mukherjee more than expected).
Fields of papers citing papers by Satyam Mukherjee
This network shows the impact of papers produced by Satyam Mukherjee. 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 Satyam Mukherjee. The network helps show where Satyam Mukherjee may publish in the future.
Co-authorship network of co-authors of Satyam Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Satyam Mukherjee. A scholar is included among the top collaborators of Satyam Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Satyam Mukherjee. Satyam Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 67 | |
| 10 | 155 | |
| 11 | Novelty and Conventionality in International Research Collaboration. | 1 |
| 12 | 14 | |
| 13 | 35 | |
| 14 | 19 | |
| 15 | Common Law Evolution and Judicial Impact in the Age of Information | 3 |
| 16 | 45 | |
| 17 | 61 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 8 |
About Satyam Mukherjee
Satyam Mukherjee is a scholar working on Statistics, Probability and Uncertainty, Computer Science Applications and Health Informatics, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Sports Analytics and Performance (6 papers) and scientometrics and bibliometrics research (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (501 citations), Information Systems and Management (188 citations) and Management of Technology and Innovation (179 citations). Satyam Mukherjee has collaborated with scholars based in India, United States and China. Frequent co-authors include Brian Uzzi, Benjamin F. Jones, Michael J. Stringer, Caroline S. Wagner, Travis A. Whetsell, Xiao Han T. Zeng, Haroldo V. Ribeiro, Yifang Ma, Ginestra Bianconi and Arda Halu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.