Nachiket Deo
- Automotive Engineering top 5%
- Building and Construction top 5%
- Computer Vision and Pattern Recognition top 10%
- Safety, Risk, Reliability and Quality top 5%
- Artificial Intelligence
- Co-authors
- Mohan M. TrivediAkshay RangeshPreeti RaoFawzi NashashibiKaouther MessaoudSanguthevar RajasekaranSepideh AfsharOliver Kennedy
- Topics
- Autonomous Vehicle Technology and Safety (6 papers)Traffic and Road Safety (4 papers)Video Surveillance and Tracking Methods (3 papers)
- Journals
- IEEE Transactions on Intelligent VehiclesarXiv (Cornell University)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Nachiket Deo
10 papers receiving 318 citations
Peers
Comparison fields: 5 of 37
- Automotive Engineering 253
- Building and Construction 117
- Computer Vision and Pattern Recognition 111
- Safety, Risk, Reliability and Quality 87
- Artificial Intelligence 84
Countries citing papers authored by Nachiket Deo
This map shows the geographic impact of Nachiket Deo'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 Nachiket Deo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nachiket Deo more than expected).
Fields of papers citing papers by Nachiket Deo
This network shows the impact of papers produced by Nachiket Deo. 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 Nachiket Deo. The network helps show where Nachiket Deo may publish in the future.
Co-authorship network of co-authors of Nachiket Deo
This figure shows the co-authorship network connecting the top 25 collaborators of Nachiket Deo. A scholar is included among the top collaborators of Nachiket Deo 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 Nachiket Deo. Nachiket Deo 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving. | 5 |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 256 | |
| 9 | 13 | |
| 10 | 24 | |
| 11 | 13 | |
| 12 | 6 |
About Nachiket Deo
Nachiket Deo is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 327 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Traffic and Road Safety (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Automotive Engineering (253 citations), Safety, Risk, Reliability and Quality (87 citations) and Building and Construction (117 citations). Nachiket Deo has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Mohan M. Trivedi, Akshay Rangesh, Preeti Rao, Fawzi Nashashibi, Kaouther Messaoud, Sanguthevar Rajasekaran, Sepideh Afshar, Oliver Kennedy, R.M. Kamel and Boris Glavic. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles and arXiv (Cornell University).
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.