Debadeepta Dey

3.7k citations
32 papers · 2.2k · 2 hit papers · h-index 13

Impact in

Papers in

Debadeepta Dey

30 papers receiving 2.1k citations

Debadeepta Dey's Hit Papers

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles 2017 · 1.4k citations
1.4k0+4+8Years since publication4008001.2k

Peers

Debadeepta Dey
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 1.2k
  • Aerospace Engineering 937
  • Automotive Engineering 363
  • Geology 122
  • Artificial Intelligence 549
Replace Martin Lauer with:
Martin Lauer Germany
K. Madhava Krishna India
Ali–akbar Agha–mohammadi United States
Denis F. Wolf Brazil
Eijiro Takeuchi Japan
Alexander Carballo Japan
Igor Gilitschenski United States
Kichun Jo South Korea
Wei Zhan United States
Anthony Stentz United States
Debadeepta Dey relative to Martin Lauer Germany Martin Lauer's profile →
Citations per field
00.5×1.5×1.8×
Martin Lauer · 1×
Citations per year

Countries citing papers authored by Debadeepta Dey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Debadeepta Dey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Debadeepta Dey Line = papers co-authored together Debadeepta Dey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
Hit paper breakdown →
20171425
2
Learning monocular reactive UAV control in cluttered natural environments
Hit paper breakdown →
2013274
3 201287
4 201855
5 201146
6 201843
7 201039
8 201934
9 201628
10 201222
11
Safety-Aware Algorithms for Adversarial Contextual Bandit.
201718
12 202016
13 201713
14 201912
15 201511
16 201710
17 20188
18
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
20216
19
Fast Safe Mission Plans for Autonomous Vehicles
20165
20 20135

About Debadeepta Dey

Debadeepta Dey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications and Automotive Engineering, having authored 32 papers that have together received 2.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (8 papers), Advanced Vision and Imaging (5 papers), Reinforcement Learning in Robotics (5 papers), Machine Learning and Algorithms (4 papers), Advanced Neural Network Applications (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Aerospace Engineering (937 citations), Automotive Engineering (363 citations), Geology (122 citations) and Artificial Intelligence (549 citations). Debadeepta Dey has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Ashish Kapoor, Shital Shah, J. Andrew Bagnell, Martial Hebert, Kumar Shaurya Shankar, Andreas Wendel, Stéphane Ross, Lily Mummert, Rahul Sukthankar and Christopher Geyer. Their work appears in journals such as Springer tracts in advanced robotics, The International Journal of Robotics Research, Journal of Artificial Intelligence Research, Lecture notes in computer science and Figshare.

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.

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