Rajneesh Kumar
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare 19
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- Mobile Ad Hoc Networks 14
- IoT and Edge/Fog Computing 13
- Opportunistic and Delay-Tolerant Networks 10
- Signal Processing top 5%
- Artificial Intelligence top 5%
- AI in cancer detection 10
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- Cloud Computing and Resource Management 12
- Cloud Data Security Solutions 10
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- Brain Tumor Detection and Classification 12
- Co-authors
- Anurag JainPooja RaniNada AhmedManpreet SinghRohit LambaAnish KumarRavi Kumar SachdevaSanjeev Rana
- Cited by
- Health Information ManagementComputer Networks and CommunicationsMedical Laboratory Technology
- Journals
- Arabian Journal for Science and Engineering (2 papers)Sadhana (1 paper)Indian Journal of Science and Technology (1 paper)
- Partner nations
- IndiaUnited StatesJordan
In The Last Decade
Rajneesh Kumar
82 papers receiving 811 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Health Information Management 242
- Computer Networks and Communications 392
- Medical Laboratory Technology 21
- Signal Processing 104
- Artificial Intelligence 302
Countries citing papers authored by Rajneesh Kumar
This map shows the geographic impact of Rajneesh 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 Rajneesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajneesh Kumar more than expected).
Fields of papers citing papers by Rajneesh Kumar
This network shows the impact of papers produced by Rajneesh 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 Rajneesh Kumar. The network helps show where Rajneesh Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajneesh 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 33 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 25 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 2 | |
| 18 | 2020 | 2 | |
| 19 | Scalable Load Balancing Approach for Cloud Environment | 2017 | 1 |
| 20 | 2017 | 1 |
About Rajneesh Kumar
Rajneesh Kumar is a scholar working on Health Information Management, Computer Networks and Communications and Neurology, having authored 103 papers that have together received 897 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (19 papers), Mobile Ad Hoc Networks (14 papers), IoT and Edge/Fog Computing (13 papers), Cloud Computing and Resource Management (12 papers), Brain Tumor Detection and Classification (12 papers), Cloud Data Security Solutions (10 papers), AI in cancer detection (10 papers) and Opportunistic and Delay-Tolerant Networks (10 papers). The work is most often cited by research in Health Information Management (242 citations), Computer Networks and Communications (392 citations) and Medical Laboratory Technology (21 citations). Rajneesh Kumar has collaborated with scholars based in India, United States and Jordan. Frequent co-authors include Anurag Jain, Pooja Rani, Nada Ahmed, Manpreet Singh, Rohit Lamba, Anish Kumar, Ravi Kumar Sachdeva, Sanjeev Rana, Nityananda Sarma and P. K. Litoria. Their work appears in journals such as Arabian Journal for Science and Engineering, Sadhana, Indian Journal of Science and Technology, Journal of Reliable Intelligent Environments and Archives of Computational Methods in Engineering.
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.