Rajneesh Kumar
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Health Information Management top 0.5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Anurag JainPooja RaniNada AhmedManpreet SinghRohit LambaAnish KumarRavi Kumar SachdevaSanjeev Rana
- Topics
- Artificial Intelligence in Healthcare (19 papers)Mobile Ad Hoc Networks (14 papers)IoT and Edge/Fog Computing (13 papers)
- Cited by
- Health Information ManagementComputer Networks and CommunicationsMedical Laboratory Technology
- Journals
- SHILAP Revista de lepidopterologíaArchives of Computational Methods in EngineeringArabian Journal for Science and Engineering
- Partner nations
- IndiaUnited StatesJordan
In The Last Decade
Rajneesh Kumar
82 papers receiving 811 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 392
- Artificial Intelligence 302
- Health Information Management 242
- Information Systems 155
- Electrical and Electronic Engineering 149
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 of co-authors of Rajneesh Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Rajneesh Kumar. A scholar is included among the top collaborators of Rajneesh Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajneesh Kumar. Rajneesh Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 33 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 25 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | Scalable Load Balancing Approach for Cloud Environment | 1 |
| 20 | 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) and IoT and Edge/Fog Computing (13 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 SHILAP Revista de lepidopterología, Archives of Computational Methods in Engineering and Arabian Journal for Science and 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.