Ajay Kaul
- Plant Science top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Analytical Chemistry top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Siddharth Singh ChouhanUday Pratap SinghSparsh SharmaSanjeev JainSurbhi SharmaSuhaib AhmedMonika SharmaBaijnath Kaushik
- Topics
- Remote-Sensing Image Classification (7 papers)Smart Agriculture and AI (6 papers)Vehicular Ad Hoc Networks (VANETs) (5 papers)
- Journals
- IEEE AccessMultimedia Tools and ApplicationsArchives of Computational Methods in Engineering
- Partner nations
- IndiaUnited States
In The Last Decade
Ajay Kaul
22 papers receiving 797 citations
Peers
Comparison fields: 5 of 101
- Plant Science 313
- Electrical and Electronic Engineering 224
- Computer Networks and Communications 202
- Analytical Chemistry 146
- Computer Vision and Pattern Recognition 145
Countries citing papers authored by Ajay Kaul
This map shows the geographic impact of Ajay Kaul'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 Ajay Kaul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Kaul more than expected).
Fields of papers citing papers by Ajay Kaul
This network shows the impact of papers produced by Ajay Kaul. 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 Ajay Kaul. The network helps show where Ajay Kaul may publish in the future.
Co-authorship network of co-authors of Ajay Kaul
This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Kaul. A scholar is included among the top collaborators of Ajay Kaul 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 Ajay Kaul. Ajay Kaul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 36 | |
| 6 | 25 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 31 | |
| 10 | 3 | |
| 11 | 53 | |
| 12 | 15 | |
| 13 | 15 | |
| 14 | 11 | |
| 15 | 82 | |
| 16 | 208 | |
| 17 | 76 | |
| 18 | 137 | |
| 19 | 97 | |
| 20 | Performance Analysis of Video Streaming Applications over VANETs | 5 |
About Ajay Kaul
Ajay Kaul is a scholar working on Media Technology, Analytical Chemistry and Computer Networks and Communications, having authored 22 papers that have together received 848 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Smart Agriculture and AI (6 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). The work is most often cited by research in Analytical Chemistry (146 citations), Media Technology (80 citations) and Computer Networks and Communications (202 citations). Ajay Kaul has collaborated with scholars based in India and United States. Frequent co-authors include Siddharth Singh Chouhan, Uday Pratap Singh, Sparsh Sharma, Sanjeev Jain, Surbhi Sharma, Suhaib Ahmed, Monika Sharma, Baijnath Kaushik, Monika Sharma and Mohd Naseem. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications 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.