V Vineeth Kumar
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Robotic Path Planning Algorithms
- Computer Networks and Communications top 0.02%
- Distributed Control Multi-Agent Systems
Papers in
-
- Robotic Path Planning Algorithms 229
-
- Distributed Control Multi-Agent Systems 157
- Optimization and Search Problems 45
- Distributed systems and fault tolerance 31
- Co-authors
- Daniel Mellinger (19 shared papers)Nathan Michael (54 shared papers)George J. Pappas (49 shared papers)Jaydev P. Desai (12 shared papers)James P. Ostrowski (7 shared papers)Giuseppe Loianno (37 shared papers)Shaojie Shen (14 shared papers)Camillo Jose Taylor (34 shared papers)
- Journals
- IEEE Robotics and Automation Letters (46 papers)Springer tracts in advanced robotics (33 papers)The International Journal of Robotics Research (25 papers)IEEE Transactions on Robotics (15 papers)Autonomous Robots (10 papers)
- Partner nations
- United StatesBrazilIndia
In The Last Decade
V Vineeth Kumar
612 papers receiving 31.0k citations
V Vineeth Kumar's Hit Papers
Peers
Comparison fields: 5 of 185
- Computer Vision and Pattern Recognition 14.7k
- Computer Networks and Communications 12.8k
- Aerospace Engineering 12.4k
- Control and Systems Engineering 10.4k
- Mechanical Engineering 5.6k
Countries citing papers authored by V Vineeth Kumar
This map shows the geographic impact of V Vineeth Kumar'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 V Vineeth Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V Vineeth Kumar more than expected).
Fields of papers citing papers by V Vineeth Kumar
This network shows the impact of papers produced by V Vineeth Kumar. 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 V Vineeth Kumar. The network helps show where V Vineeth Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside V Vineeth Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 637 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Minimum snap trajectory generation and control for quadrotors Hit paper breakdown → | 2011 | 1797 |
| 2 | A vision-based formation control framework Hit paper breakdown → | 2002 | 966 |
| 3 | Modeling and control of formations of nonholonomic mobile robots Hit paper breakdown → | 2001 | 939 |
| 4 | Trajectory generation and control for precise aggressive maneuvers with quadrotors Hit paper breakdown → | 2012 | 694 |
| 5 | Leader-to-Formation Stability Hit paper breakdown → | 2004 | 630 |
| 6 | The GRASP Multiple Micro-UAV Testbed Hit paper breakdown → | 2010 | 630 |
| 7 | Controlling formations of multiple mobile robots Hit paper breakdown → | 2002 | 566 |
| 8 | A Survey on Aerial Swarm Robotics Hit paper breakdown → | 2018 | 482 |
| 9 | Cooperative Manipulation and Transportation with Aerial Robots Hit paper breakdown → | 2010 | 436 |
| 10 | Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments Hit paper breakdown → | 2017 | 417 |
| 11 | Cooperative air and ground surveillance Hit paper breakdown → | 2006 | 407 |
| 12 | Cooperative Grasping and Transport Using Multiple Quadrotors Hit paper breakdown → | 2012 | 382 |
| 13 | Opportunities and challenges with autonomous micro aerial vehicles Hit paper breakdown → | 2012 | 380 |
| 14 | Counting Apples and Oranges With Deep Learning: A Data-Driven Approach Hit paper breakdown → | 2017 | 358 |
| 15 | Towards a swarm of agile micro quadrotors Hit paper breakdown → | 2013 | 338 |
| 16 | Autonomous multi-floor indoor navigation with a computationally constrained MAV Hit paper breakdown → | 2011 | 320 |
| 17 | 2012 | 316 | |
| 18 | 1994 | 274 | |
| 19 | Geometric control and differential flatness of a quadrotor UAV with a cable-suspended load Hit paper breakdown → | 2013 | 262 |
| 20 | 2016 | 253 |
About V Vineeth Kumar
V Vineeth Kumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 637 papers that have together received 32.2k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (229 papers), Distributed Control Multi-Agent Systems (157 papers), Robotics and Sensor-Based Localization (118 papers), Modular Robots and Swarm Intelligence (117 papers), Control and Dynamics of Mobile Robots (48 papers), Optimization and Search Problems (45 papers), Robot Manipulation and Learning (41 papers) and Distributed systems and fault tolerance (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (14.7k citations), Computer Networks and Communications (12.8k citations), Aerospace Engineering (12.4k citations), Control and Systems Engineering (10.4k citations) and Mechanical Engineering (5.6k citations). V Vineeth Kumar has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include Daniel Mellinger, Nathan Michael, George J. Pappas, Jaydev P. Desai, James P. Ostrowski, Giuseppe Loianno, Shaojie Shen, Camillo Jose Taylor, Jonathan Fink and Quentin Lindsey. Their work appears in journals such as IEEE Robotics and Automation Letters, Springer tracts in advanced robotics, The International Journal of Robotics Research, IEEE Transactions on Robotics and Autonomous Robots.
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.