Kuldeep Narayan Tripathi
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- S. C. SharmaSparsh SharmaK. V. AryaRohit AgrawalShabana UroojGagandeep KaurUmesh GuptaNitin Arora
- Topics
- Vehicular Ad Hoc Networks (VANETs) (8 papers)IoT and Edge/Fog Computing (5 papers)Opportunistic and Delay-Tolerant Networks (5 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- IndiaSaudi ArabiaHungary
In The Last Decade
Kuldeep Narayan Tripathi
20 papers receiving 204 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 152
- Information Systems 88
- Electrical and Electronic Engineering 86
- Artificial Intelligence 49
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Kuldeep Narayan Tripathi
This map shows the geographic impact of Kuldeep Narayan Tripathi'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 Kuldeep Narayan Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuldeep Narayan Tripathi more than expected).
Fields of papers citing papers by Kuldeep Narayan Tripathi
This network shows the impact of papers produced by Kuldeep Narayan Tripathi. 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 Kuldeep Narayan Tripathi. The network helps show where Kuldeep Narayan Tripathi may publish in the future.
Co-authorship network of co-authors of Kuldeep Narayan Tripathi
This figure shows the co-authorship network connecting the top 25 collaborators of Kuldeep Narayan Tripathi. A scholar is included among the top collaborators of Kuldeep Narayan Tripathi 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 Kuldeep Narayan Tripathi. Kuldeep Narayan Tripathi 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 | 3 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 14 | |
| 13 | 53 | |
| 14 | 8 | |
| 15 | 25 | |
| 16 | Emendation of performance in dairy animals using modified roof: A review | 2 |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | 2 |
About Kuldeep Narayan Tripathi
Kuldeep Narayan Tripathi is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 214 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (8 papers), IoT and Edge/Fog Computing (5 papers) and Opportunistic and Delay-Tolerant Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (152 citations), Information Systems (88 citations) and Computer Vision and Pattern Recognition (33 citations). Kuldeep Narayan Tripathi has collaborated with scholars based in India, Saudi Arabia and Hungary. Frequent co-authors include S. C. Sharma, Sparsh Sharma, K. V. Arya, Rohit Agrawal, Shabana Urooj, Gagandeep Kaur, Umesh Gupta, Nitin Arora, Rajesh Arunachalam and Rahul Neware. Their work appears in journals such as Expert Systems with Applications, Multimedia Tools and Applications and Electronics.
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.