Kamal Kumar Sharma
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Biomedical Engineering
- Computational Theory and Mathematics
- Co-authors
- Surjeet DalalAnand J. KulkarniSanjay Kumar RoyCherry BhargavaRoobaea AlroobaeaMustapha HedabouA.K. RamaniManwinder Singh
- Topics
- Energy Efficient Wireless Sensor Networks (7 papers)AI in cancer detection (5 papers)Digital Radiography and Breast Imaging (5 papers)
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsElectrical and Electronic Engineering
- Journals
- Neural Computing and ApplicationsFrontiers in Public HealthIEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Partner nations
- IndiaSaudi ArabiaMorocco
In The Last Decade
Kamal Kumar Sharma
22 papers receiving 200 citations
Peers
Comparison fields: 5 of 47
- Electrical and Electronic Engineering 114
- Artificial Intelligence 54
- Computer Networks and Communications 50
- Biomedical Engineering 50
- Computational Theory and Mathematics 33
Countries citing papers authored by Kamal Kumar Sharma
This map shows the geographic impact of Kamal Kumar Sharma'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 Kamal Kumar Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamal Kumar Sharma more than expected).
Fields of papers citing papers by Kamal Kumar Sharma
This network shows the impact of papers produced by Kamal Kumar Sharma. 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 Kamal Kumar Sharma. The network helps show where Kamal Kumar Sharma may publish in the future.
Co-authorship network of co-authors of Kamal Kumar Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Kamal Kumar Sharma. A scholar is included among the top collaborators of Kamal Kumar Sharma 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 Kamal Kumar Sharma. Kamal Kumar Sharma 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 | 6 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 77 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | Designing architecture of demand forecasting tool using multi-agent system | 2 |
| 16 | 16 | |
| 17 | Modeling and Analysis of End-To-End Delay for Ad Hoc Pervasive Multimedia Network | 7 |
| 18 | 15 | |
| 19 | 6 | |
| 20 | 2 |
About Kamal Kumar Sharma
Kamal Kumar Sharma is a scholar working on Computer Networks and Communications, Ecological Modeling and Health Information Management, having authored 27 papers that have together received 219 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), AI in cancer detection (5 papers) and Digital Radiography and Breast Imaging (5 papers). The work is most often cited by research in Computer Networks and Communications (50 citations), Computational Theory and Mathematics (33 citations) and Electrical and Electronic Engineering (114 citations). Kamal Kumar Sharma has collaborated with scholars based in India, Saudi Arabia and Morocco. Frequent co-authors include Surjeet Dalal, Anand J. Kulkarni, Sanjay Kumar Roy, Cherry Bhargava, Roobaea Alroobaea, Mustapha Hedabou, A.K. Ramani, Manwinder Singh, Himanshu Thapliyal and Hamid R. Arabnia. Their work appears in journals such as Neural Computing and Applications, Frontiers in Public Health and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.