Abhishek Kumar
- Artificial Intelligence top 5%
- Materials Chemistry
- Computer Networks and Communications top 5%
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Veera SundararaghavanKamred Udham SinghV. VijayakumarV. D. Ambeth KumarAnkit AgrawalRuoqian LiuIndrajeet KumarZhengzhang Chen
- Topics
- Virtual Reality Applications and Impacts (8 papers)Network Security and Intrusion Detection (7 papers)COVID-19 diagnosis using AI (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Abhishek Kumar
87 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 242
- Materials Chemistry 192
- Computer Networks and Communications 184
- Mechanical Engineering 167
- Electrical and Electronic Engineering 159
Countries citing papers authored by Abhishek Kumar
This map shows the geographic impact of Abhishek 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 Abhishek Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Kumar more than expected).
Fields of papers citing papers by Abhishek Kumar
This network shows the impact of papers produced by Abhishek 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 Abhishek Kumar. The network helps show where Abhishek Kumar may publish in the future.
Co-authorship network of co-authors of Abhishek Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Kumar. A scholar is included among the top collaborators of Abhishek 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 Abhishek Kumar. Abhishek 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 | 8 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 43 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | 9 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | Essential-Replica for Face Detection in the Large Appearance Variations | 2 |
| 20 | 34 |
About Abhishek Kumar
Abhishek Kumar is a scholar working on Human-Computer Interaction, Signal Processing and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (8 papers), Network Security and Intrusion Detection (7 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (24 citations), Human-Computer Interaction (50 citations) and Health Information Management (41 citations). Abhishek Kumar has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Veera Sundararaghavan, Kamred Udham Singh, V. Vijayakumar, V. D. Ambeth Kumar, Ankit Agrawal, Ruoqian Liu, Indrajeet Kumar, Zhengzhang Chen, Alok Choudhary and Chandradeep Bhatt. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.