Mohit Kumar
Impact in
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- Complex Network Analysis Techniques
- Information Systems top 5%
- Spam and Phishing Detection
- Recommender Systems and Techniques
Papers in
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- Spam and Phishing Detection 2
- Co-authors
- Disha Makhija (2 shared papers)Christos Faloutsos (2 shared papers)Bryan Hooi (2 shared papers)Srijan Kumar (1 shared paper)V. S. Subrahmanian (1 shared paper)Leman Akoglu (1 shared paper)Alex Beutel (1 shared paper)Stephan Günnemann (1 shared paper)
- Journals
- Lecture notes in networks and systems (1 paper)ACM International Conference on Web Search and Data Mining (WSDM) (1 paper)SIAM International Conference on Data Mining (1 paper)SAMRIDDHI A Journal of Physical Sciences Engineering and Technology (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Mohit Kumar
7 papers receiving 349 citations
Mohit Kumar's Hit Papers
Peers
Comparison fields: 5 of 33
- Statistical and Nonlinear Physics 98
- Information Systems 111
- Artificial Intelligence 149
- Computer Vision and Pattern Recognition 22
- Computer Science Applications 5
Countries citing papers authored by Mohit Kumar
This map shows the geographic impact of Mohit Kumar'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 Mohit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohit Kumar more than expected).
Fields of papers citing papers by Mohit Kumar
This network shows the impact of papers produced by Mohit Kumar. 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 Mohit Kumar. The network helps show where Mohit Kumar may publish in the future.
Co-authors
The 13 scholars most cited alongside Mohit Kumar, 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 | REV2 Hit paper breakdown → | 2018 | 265 |
| 2 | 2016 | 75 | |
| 3 | 2010 | 8 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2012 | 1 | |
| 7 | 2024 | 1 |
About Mohit Kumar
Mohit Kumar is a scholar working on Information Systems, Automotive Engineering, Organizational Behavior and Human Resource Management, Social Psychology and General Health Professions, having authored 7 papers that have together received 360 indexed citations. Recurring topics across this work include Spam and Phishing Detection (2 papers), Workplace Health and Well-being (1 paper), Stress and Burnout Research (1 paper), Cryptography and Data Security (1 paper), Cryptographic Implementations and Security (1 paper), Human Pose and Action Recognition (1 paper), Video Surveillance and Tracking Methods (1 paper) and AI and HR Technologies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (98 citations), Information Systems (111 citations), Artificial Intelligence (149 citations), Computer Vision and Pattern Recognition (22 citations) and Computer Science Applications (5 citations). Mohit Kumar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Disha Makhija, Christos Faloutsos, Bryan Hooi, Srijan Kumar, V. S. Subrahmanian, Leman Akoglu, Alex Beutel, Stephan Günnemann, Neil Shah and Poonam Singh. Their work appears in journals such as Lecture notes in networks and systems, ACM International Conference on Web Search and Data Mining (WSDM), SIAM International Conference on Data Mining, SAMRIDDHI A Journal of Physical Sciences Engineering and Technology and AIP conference proceedings.
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.