Mohit Kumar
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
Papers in
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- Sentiment Analysis and Opinion Mining 1
- Cryptographic Implementations and Security 1
- Security and Verification in Computing 1
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- Spam and Phishing Detection 1
- Information and Cyber Security 1
- Co-authors
- Bryan Hooi (1 shared paper)Srijan Kumar (1 shared paper)V. S. Subrahmanian (1 shared paper)Christos Faloutsos (1 shared paper)Disha Makhija (1 shared paper)Poonam Singh (1 shared paper)Abhishek Gupta (1 shared paper)
- Journals
- AIP conference proceedings (1 paper)SAMRIDDHI A Journal of Physical Sciences Engineering and Technology (1 paper)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Mohit Kumar
4 papers receiving 229 citations
Mohit Kumar's Hit Papers
Peers
Comparison fields: 5 of 42
- Statistical and Nonlinear Physics 113
- Artificial Intelligence 140
- Information Systems 80
- Signal Processing 17
- Computer Networks and Communications 36
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 7 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 | 221 |
| 2 | 2010 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2012 | 0 |
About Mohit Kumar
Mohit Kumar is a scholar working on Artificial Intelligence, Information Systems, Automotive Engineering, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 234 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (1 paper), Spam and Phishing Detection (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Cryptographic Implementations and Security (1 paper), Manufacturing Process and Optimization (1 paper), Security and Verification in Computing (1 paper), Additive Manufacturing and 3D Printing Technologies (1 paper) and Information and Cyber Security (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (113 citations), Artificial Intelligence (140 citations), Information Systems (80 citations), Signal Processing (17 citations) and Computer Networks and Communications (36 citations). Mohit Kumar has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Bryan Hooi, Srijan Kumar, V. S. Subrahmanian, Christos Faloutsos, Disha Makhija, Poonam Singh and Abhishek Gupta. Their work appears in journals such as AIP conference proceedings and SAMRIDDHI A Journal of Physical Sciences Engineering and Technology.
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.