Abhinav Valada
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Environmental Engineering top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Wolfram BurgardDaniele CattaneoMatteo VaghiRohit MohanTim WelscheholdHolger CaesarOscar BeijbomThomas Brox
- Topics
- Robotics and Sensor-Based Localization (20 papers)Advanced Neural Network Applications (18 papers)Robotic Path Planning Algorithms (11 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Abhinav Valada
73 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 657
- Aerospace Engineering 341
- Artificial Intelligence 204
- Environmental Engineering 153
- Control and Systems Engineering 118
Countries citing papers authored by Abhinav Valada
This map shows the geographic impact of Abhinav Valada'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 Abhinav Valada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Valada more than expected).
Fields of papers citing papers by Abhinav Valada
This network shows the impact of papers produced by Abhinav Valada. 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 Abhinav Valada. The network helps show where Abhinav Valada may publish in the future.
Co-authorship network of co-authors of Abhinav Valada
This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Valada. A scholar is included among the top collaborators of Abhinav Valada 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 Abhinav Valada. Abhinav Valada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 8 | |
| 17 | 26 | |
| 18 | 19 | |
| 19 | 126 | |
| 20 | 5 |
About Abhinav Valada
Abhinav Valada is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Advanced Neural Network Applications (18 papers) and Robotic Path Planning Algorithms (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (657 citations), Geology (118 citations) and Aerospace Engineering (341 citations). Abhinav Valada has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Wolfram Burgard, Daniele Cattaneo, Matteo Vaghi, Rohit Mohan, Tim Welschehold, Holger Caesar, Oscar Beijbom, Thomas Brox, Gabriel L. Oliveira and George Kantor. Their work appears in journals such as Neuron, Proceedings of the IEEE and International Journal of Computer Vision.
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.