Mohit Kumar
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- IoT and Edge/Fog Computing 41
- Distributed and Parallel Computing Systems 15
- Network Security and Intrusion Detection 7
- Information Systems top 0.5%
- Cloud Computing and Resource Management 27
- Blockchain Technology Applications and Security 12
- Internet of Things and AI 7
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 9
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- IoT Networks and Protocols 4
- Co-authors
- S. C. SharmaSharad SharmaSukhpal Singh GillKalka DubeyAnubhav GoelSarbjeet SinghGuneet Kaur WaliaJitendra Kumar Samriya
- Journals
- IEEE Transactions on Consumer Electronics (7 papers)Computer Science Review (3 papers)Neural Computing and Applications (3 papers)
- Partner nations
- IndiaUnited KingdomChina
In The Last Decade
Mohit Kumar
67 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Networks and Communications 1.3k
- Information Systems 1.1k
- Artificial Intelligence 342
- Industrial and Manufacturing Engineering 89
- Computer Vision and Pattern Recognition 161
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-authorship network
The 25 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 | 2025 | 6 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 25 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 27 | |
| 15 | 2023 | 35 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 23 | |
| 20 | Priority Aware Longest Job First (PA-LJF) algorithm for utilization of the resource in cloud environment | 2016 | 10 |
About Mohit Kumar
Mohit Kumar is a scholar working on Computer Networks and Communications, Information Systems, Health Informatics, Artificial Intelligence and Health Information Management, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (41 papers), Cloud Computing and Resource Management (27 papers), Distributed and Parallel Computing Systems (15 papers), Blockchain Technology Applications and Security (12 papers), Privacy-Preserving Technologies in Data (9 papers), Network Security and Intrusion Detection (7 papers), Internet of Things and AI (7 papers) and IoT Networks and Protocols (4 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Information Systems (1.1k citations), Artificial Intelligence (342 citations), Industrial and Manufacturing Engineering (89 citations) and Computer Vision and Pattern Recognition (161 citations). Mohit Kumar has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include S. C. Sharma, Sharad Sharma, Sukhpal Singh Gill, Kalka Dubey, Anubhav Goel, Sarbjeet Singh, Guneet Kaur Walia, Jitendra Kumar Samriya, Avadh Kishor and Sudheer Mangalampalli. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Computer Science Review, Neural Computing and Applications, Software Practice and Experience and Multimedia Tools and Applications.
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.