Aravindh Mahendran
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 5%
- Cognitive Neuroscience
- Biophysics top 5%
- Co-authors
- Andrea VedaldiK. Madhava KrishnaFrancesco LocatelloGeorg HeigoldThomas KipfThomas UnterthinerDirk WeissenbornJakob Uszkoreit
- Topics
- Robotics and Sensor-Based Localization (4 papers)Distributed Control Multi-Agent Systems (3 papers)Robotic Path Planning Algorithms (3 papers)
- Journals
- International Journal of Computer VisionNeural Information Processing SystemsAdaptive Agents and Multi-Agents Systems
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Aravindh Mahendran
8 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 766
- Artificial Intelligence 585
- Media Technology 95
- Cognitive Neuroscience 87
- Biophysics 73
Countries citing papers authored by Aravindh Mahendran
This map shows the geographic impact of Aravindh Mahendran'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 Aravindh Mahendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aravindh Mahendran more than expected).
Fields of papers citing papers by Aravindh Mahendran
This network shows the impact of papers produced by Aravindh Mahendran. 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 Aravindh Mahendran. The network helps show where Aravindh Mahendran may publish in the future.
Co-authorship network of co-authors of Aravindh Mahendran
This figure shows the co-authorship network connecting the top 25 collaborators of Aravindh Mahendran. A scholar is included among the top collaborators of Aravindh Mahendran 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 Aravindh Mahendran. Aravindh Mahendran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | Object-Centric Learning with Slot Attention | 13 |
| 4 | 280 | |
| 5 | Understanding deep image representations by inverting thembreakdown → | 958 |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | Digital Watermarking Using DWT-SVD | 3 |
About Aravindh Mahendran
Aravindh Mahendran is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Hardware and Architecture, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Distributed Control Multi-Agent Systems (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (766 citations), Artificial Intelligence (585 citations) and Health Informatics (22 citations). Aravindh Mahendran has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Andrea Vedaldi, K. Madhava Krishna, Francesco Locatello, Georg Heigold, Thomas Kipf, Thomas Unterthiner, Dirk Weissenborn, Jakob Uszkoreit, Alexey Dosovitskiy and Daniel Duckworth. Their work appears in journals such as International Journal of Computer Vision, Neural Information Processing Systems and Adaptive Agents and Multi-Agents Systems.
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.