Nishith Pathak

588 citations
27 papers · 412 · h-index 10

Impact in

Papers in

Nishith Pathak

23 papers receiving 379 citations

Peers

Nishith Pathak
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 226
  • Information Systems 108
  • Communication 32
  • Artificial Intelligence 145
  • Computer Networks and Communications 66
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Citations per year

Countries citing papers authored by Nishith Pathak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with Nishith Pathak Line = papers co-authored together Nishith Pathak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201096
2
Social Topic Models for Community Extraction
200886
3 200568
4 200620
5 200920
6 200920
7 201420
8 202117
9 201115
10 201811
11 20188
12 20185
13 20074
14 20224
15 20064
16
IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
20183
17
Al, Virtual Worlds, and Massively Multiplayer Online Games
20112
18 20082
19 20182
20 20141

About Nishith Pathak

Nishith Pathak is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 412 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (6 papers), Artificial Intelligence in Games (4 papers), Blockchain Technology Applications and Security (3 papers), Digital Games and Media (3 papers), Educational Games and Gamification (2 papers), Speech and dialogue systems (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (226 citations), Information Systems (108 citations), Communication (32 citations), Artificial Intelligence (145 citations) and Computer Networks and Communications (66 citations). Nishith Pathak has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Jaideep Srivastava, Arindam Banerjee, Vipin Kumar, Kyong Jin Shim, Garima Verma, Muhammad Aurangzeb Ahmad, Dmitri Williams, Kuo-Wei Hsu, Noshir Contractor and Yun Huang. Their work appears in journals such as IEEE Intelligent Systems, Journal of Advertising, International Journal of Semantic Computing, Lecture notes in computer science and Journal of Physics Conference Series.

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.

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