Neetesh Kumar
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Building and Construction top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Deo Prakash VidyarthiRashmi ChaudhryShashikala TapaswiNeeraj KumarVaibhav GargNavjot SinghHui HeRupak Kharel
- Topics
- IoT and Edge/Fog Computing (14 papers)Traffic control and management (14 papers)Traffic Prediction and Management Techniques (14 papers)
- Partner nations
- IndiaUnited KingdomTaiwan
In The Last Decade
Neetesh Kumar
50 papers receiving 990 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 426
- Electrical and Electronic Engineering 276
- Building and Construction 221
- Control and Systems Engineering 211
- Artificial Intelligence 175
Countries citing papers authored by Neetesh Kumar
This map shows the geographic impact of Neetesh 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 Neetesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neetesh Kumar more than expected).
Fields of papers citing papers by Neetesh Kumar
This network shows the impact of papers produced by Neetesh 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 Neetesh Kumar. The network helps show where Neetesh Kumar may publish in the future.
Co-authorship network of co-authors of Neetesh Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Neetesh Kumar. A scholar is included among the top collaborators of Neetesh 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 Neetesh Kumar. Neetesh 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 | 18 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directionsbreakdown → | 55 |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 142 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 18 | |
| 18 | 23 | |
| 19 | 87 | |
| 20 | 6 |
About Neetesh Kumar
Neetesh Kumar is a scholar working on Computer Networks and Communications, Building and Construction and Transportation, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (14 papers), Traffic control and management (14 papers) and Traffic Prediction and Management Techniques (14 papers). The work is most often cited by research in Computer Networks and Communications (426 citations), Building and Construction (221 citations) and Transportation (97 citations). Neetesh Kumar has collaborated with scholars based in India, United Kingdom and Taiwan. Frequent co-authors include Deo Prakash Vidyarthi, Rashmi Chaudhry, Shashikala Tapaswi, Neeraj Kumar, Vaibhav Garg, Navjot Singh, Hui He, Rupak Kharel, Asif Ali Laghari and Deo Prakash Vidyarthi. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Vehicular Technology.
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.