Suryansh Kumar
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Geology top 10%
- Co-authors
- Yuchao DaiHongdong LiLuc Van GoolK. Madhava KrishnaFisher YuVittorio FerrariAnoop CherianAlexander Liniger
- Topics
- Advanced Vision and Imaging (15 papers)Robotics and Sensor-Based Localization (9 papers)Computer Graphics and Visualization Techniques (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionInternational Journal of Computer Vision
- Partner nations
- United StatesBelgiumIndia
In The Last Decade
Suryansh Kumar
23 papers receiving 290 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 248
- Aerospace Engineering 105
- Computer Graphics and Computer-Aided Design 67
- Computational Mechanics 50
- Geology 46
Countries citing papers authored by Suryansh Kumar
This map shows the geographic impact of Suryansh 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 Suryansh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suryansh Kumar more than expected).
Fields of papers citing papers by Suryansh Kumar
This network shows the impact of papers produced by Suryansh 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 Suryansh Kumar. The network helps show where Suryansh Kumar may publish in the future.
Co-authorship network of co-authors of Suryansh Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Suryansh Kumar. A scholar is included among the top collaborators of Suryansh Kumar 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 Suryansh Kumar. Suryansh Kumar 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 | 3 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 43 | |
| 10 | 7 | |
| 11 | 21 | |
| 12 | 22 | |
| 13 | 7 | |
| 14 | A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited. | 1 |
| 15 | 21 | |
| 16 | 31 | |
| 17 | 20 | |
| 18 | 2 | |
| 19 | 18 | |
| 20 | 9 |
About Suryansh Kumar
Suryansh Kumar is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 25 papers that have together received 311 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Robotics and Sensor-Based Localization (9 papers) and Computer Graphics and Visualization Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (67 citations), Computer Vision and Pattern Recognition (248 citations) and Geology (46 citations). Suryansh Kumar has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Yuchao Dai, Hongdong Li, Luc Van Gool, K. Madhava Krishna, Fisher Yu, Vittorio Ferrari, Anoop Cherian, Alexander Liniger, Guohao Li and Bernard Ghanem. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition 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.