Debadeepta Dey
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Plant Science
- Co-authors
- Martial HebertJ. Andrew BagnellStéphane RossAndreas WendelKumar Shaurya ShankarLily MummertRahul SukthankarSanjiv Singh
- Topics
- Robotics and Sensor-Based Localization (10 papers)Robotic Path Planning Algorithms (6 papers)Advanced Neural Network Applications (4 papers)
- Journals
- The International Journal of Robotics ResearchJournal of Artificial Intelligence ResearcharXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Debadeepta Dey
22 papers receiving 568 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 304
- Aerospace Engineering 248
- Artificial Intelligence 195
- Control and Systems Engineering 74
- Plant Science 71
Countries citing papers authored by Debadeepta Dey
This map shows the geographic impact of Debadeepta Dey'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 Debadeepta Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debadeepta Dey more than expected).
Fields of papers citing papers by Debadeepta Dey
This network shows the impact of papers produced by Debadeepta Dey. 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 Debadeepta Dey. The network helps show where Debadeepta Dey may publish in the future.
Co-authorship network of co-authors of Debadeepta Dey
This figure shows the co-authorship network connecting the top 25 collaborators of Debadeepta Dey. A scholar is included among the top collaborators of Debadeepta Dey 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 Debadeepta Dey. Debadeepta Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size | 6 |
| 2 | 0 | |
| 3 | 16 | |
| 4 | MultiPoint: Cross-spectral registration of thermal and optical aerial imagery. | 4 |
| 5 | 2 | |
| 6 | 12 | |
| 7 | Anytime Neural Network: a Versatile Trade-off Between Computation and Accuracy | 2 |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 49 | |
| 11 | Safety-Aware Algorithms for Adversarial Contextual Bandit. | 17 |
| 12 | 13 | |
| 13 | 8 | |
| 14 | Fast Safe Mission Plans for Autonomous Vehicles | 5 |
| 15 | 11 | |
| 16 | 4 | |
| 17 | Learning monocular reactive UAV control in cluttered natural environmentsbreakdown → | 254 |
| 18 | 78 | |
| 19 | Contextual Sequence Prediction via Submodular Function Optimization | 2 |
| 20 | 45 |
About Debadeepta Dey
Debadeepta Dey is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 23 papers that have together received 590 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Aerospace Engineering (248 citations) and Artificial Intelligence (195 citations). Debadeepta Dey has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Martial Hebert, J. Andrew Bagnell, Stéphane Ross, Andreas Wendel, Kumar Shaurya Shankar, Lily Mummert, Rahul Sukthankar, Sanjiv Singh, Christopher Geyer and Ashish Kapoor. Their work appears in journals such as The International Journal of Robotics Research, Journal of Artificial Intelligence Research 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.