Dinesh Thakur
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Co-authors
- Vijay KumarKostas DaniilidisAlex Zihao ZhuTolga ÖzaslanBernd PfrommerJames F. KellerGeorge J. PappasGiuseppe Loianno
- Topics
- Robotic Path Planning Algorithms (19 papers)Robotics and Sensor-Based Localization (17 papers)Guidance and Control Systems (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Networks and Communications
- Journals
- IEEE Transactions on Automation Science and EngineeringIEEE Robotics and Automation LettersIEEE Robotics & Automation Magazine
- Partner nations
- United StatesCzechiaItaly
In The Last Decade
Dinesh Thakur
29 papers receiving 819 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 451
- Aerospace Engineering 371
- Electrical and Electronic Engineering 206
- Computer Networks and Communications 185
- Artificial Intelligence 140
Countries citing papers authored by Dinesh Thakur
This map shows the geographic impact of Dinesh Thakur'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 Dinesh Thakur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinesh Thakur more than expected).
Fields of papers citing papers by Dinesh Thakur
This network shows the impact of papers produced by Dinesh Thakur. 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 Dinesh Thakur. The network helps show where Dinesh Thakur may publish in the future.
Co-authorship network of co-authors of Dinesh Thakur
This figure shows the co-authorship network connecting the top 25 collaborators of Dinesh Thakur. A scholar is included among the top collaborators of Dinesh Thakur 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 Dinesh Thakur. Dinesh Thakur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 37 | |
| 7 | The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perceptionbreakdown → | 319 |
| 8 | 77 | |
| 9 | 69 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 25 | |
| 19 | 2 | |
| 20 | 27 |
About Dinesh Thakur
Dinesh Thakur is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 29 papers that have together received 834 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (19 papers), Robotics and Sensor-Based Localization (17 papers) and Guidance and Control Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (451 citations), Aerospace Engineering (371 citations) and Computer Networks and Communications (185 citations). Dinesh Thakur has collaborated with scholars based in United States, Czechia and Italy. Frequent co-authors include Vijay Kumar, Kostas Daniilidis, Vijay Kumar, Alex Zihao Zhu, Tolga Özaslan, Bernd Pfrommer, James F. Keller, George J. Pappas, Giuseppe Loianno and Maxim Likhachev. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters and IEEE Robotics & Automation Magazine.
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.