Nishith Pathak
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Social Media and Politics
Papers in
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 5
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- Artificial Intelligence in Games 2
- Advanced Text Analysis Techniques 1
- Co-authors
- Jaideep Srivastava (8 shared papers)Arindam Banerjee (2 shared papers)Vipin Kumar (2 shared papers)Garima Verma (1 shared paper)Muhammad Aurangzeb Ahmad (2 shared papers)Dmitri Williams (2 shared papers)Noshir Contractor (1 shared paper)Jing Wang (1 shared paper)
- Journals
- Journal of Advertising (1 paper)IEEE Intelligent Systems (1 paper)International Journal of Semantic Computing (1 paper)Journal of Physics Conference Series (1 paper)Apress eBooks (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Nishith Pathak
14 papers receiving 285 citations
Peers
Comparison fields: 5 of 55
- Statistical and Nonlinear Physics 188
- Communication 30
- Information Systems 90
- Artificial Intelligence 97
- Computer Networks and Communications 49
Countries citing papers authored by Nishith Pathak
This map shows the geographic impact of Nishith Pathak'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 Nishith Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishith Pathak more than expected).
Fields of papers citing papers by Nishith Pathak
This network shows the impact of papers produced by Nishith Pathak. 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 Nishith Pathak. The network helps show where Nishith Pathak may publish in the future.
Co-authors
The 16 scholars most cited alongside Nishith Pathak, 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 | 2010 | 84 | |
| 2 | Social Topic Models for Community Extraction | 2008 | 73 |
| 3 | 2005 | 55 | |
| 4 | 2009 | 17 | |
| 5 | 2009 | 17 | |
| 6 | 2006 | 16 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2006 | 3 | |
| 12 | IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up | 2018 | 3 |
| 13 | 2007 | 3 | |
| 14 | Al, Virtual Worlds, and Massively Multiplayer Online Games | 2011 | 2 |
| 15 | 2017 | 0 | |
| 16 | 2017 | 0 |
About Nishith Pathak
Nishith Pathak is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 306 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers), Artificial Intelligence in Games (2 papers), Digital Games and Media (2 papers), Blockchain Technology Applications and Security (2 papers), Web Data Mining and Analysis (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (188 citations), Communication (30 citations), Information Systems (90 citations), Artificial Intelligence (97 citations) and Computer Networks and Communications (49 citations). Nishith Pathak has collaborated with scholars based in United States and India. Frequent co-authors include Jaideep Srivastava, Arindam Banerjee, Vipin Kumar, Garima Verma, Muhammad Aurangzeb Ahmad, Dmitri Williams, Noshir Contractor, Jing Wang, Cuihua Shen and Yun Huang. Their work appears in journals such as Journal of Advertising, IEEE Intelligent Systems, International Journal of Semantic Computing, Journal of Physics Conference Series and Apress eBooks.
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.