Kashyap Chitta
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 2%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Co-authors
- Andreas GeigerBernhard JaegerAditya PrakashZehao YuPenghao WuHongyang LiLi ChenEshed Ohn-Bar
- Topics
- Advanced Neural Network Applications (7 papers)Autonomous Vehicle Technology and Safety (5 papers)Video Surveillance and Tracking Methods (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence2021 IEEE/CVF International Conference on Computer Vision (ICCV)Rare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- GermanyHong KongUnited States
In The Last Decade
Kashyap Chitta
11 papers receiving 572 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 314
- Automotive Engineering 306
- Artificial Intelligence 184
- Control and Systems Engineering 94
- Aerospace Engineering 73
Countries citing papers authored by Kashyap Chitta
This map shows the geographic impact of Kashyap Chitta'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 Kashyap Chitta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kashyap Chitta more than expected).
Fields of papers citing papers by Kashyap Chitta
This network shows the impact of papers produced by Kashyap Chitta. 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 Kashyap Chitta. The network helps show where Kashyap Chitta may publish in the future.
Co-authorship network of co-authors of Kashyap Chitta
This figure shows the co-authorship network connecting the top 25 collaborators of Kashyap Chitta. A scholar is included among the top collaborators of Kashyap Chitta 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 Kashyap Chitta. Kashyap Chitta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | End-to-End Autonomous Driving: Challenges and Frontiersbreakdown → | 143 |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 5 | |
| 7 | TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Drivingbreakdown → | 189 |
| 8 | 132 | |
| 9 | 46 | |
| 10 | 35 | |
| 11 | Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. | 2 |
| 12 | 1 |
About Kashyap Chitta
Kashyap Chitta is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Management Science and Operations Research, having authored 12 papers that have together received 599 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Autonomous Vehicle Technology and Safety (5 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Automotive Engineering (306 citations), Computer Vision and Pattern Recognition (314 citations) and Artificial Intelligence (184 citations). Kashyap Chitta has collaborated with scholars based in Germany, Hong Kong and United States. Frequent co-authors include Andreas Geiger, Bernhard Jaeger, Aditya Prakash, Zehao Yu, Aditya Prakash, Penghao Wu, Hongyang Li, Li Chen, Eshed Ohn-Bar and Aseem Behl. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Rare & Special e-Zone (The Hong Kong University of Science and 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.