Karthik Desingh
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 10%
- Control and Systems Engineering
- Cognitive Neuroscience
- Aerospace Engineering
- Co-authors
- Deepu RajanC. V. JawaharOdest Chadwicke JenkinsNediyana DaskalovaAlexandra PapoutsakiHan ShaJeff HuangAnthony W. Opipari
- Topics
- Robot Manipulation and Learning (4 papers)Reinforcement Learning in Robotics (2 papers)Visual Attention and Saliency Detection (2 papers)
- Journals
- The International Journal of Robotics ResearchScience RoboticsIEEE Robotics and Automation Letters
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Karthik Desingh
12 papers receiving 216 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 150
- Human-Computer Interaction 43
- Control and Systems Engineering 37
- Cognitive Neuroscience 29
- Aerospace Engineering 29
Countries citing papers authored by Karthik Desingh
This map shows the geographic impact of Karthik Desingh'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 Karthik Desingh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Desingh more than expected).
Fields of papers citing papers by Karthik Desingh
This network shows the impact of papers produced by Karthik Desingh. 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 Karthik Desingh. The network helps show where Karthik Desingh may publish in the future.
Co-authorship network of co-authors of Karthik Desingh
This figure shows the co-authorship network connecting the top 25 collaborators of Karthik Desingh. A scholar is included among the top collaborators of Karthik Desingh 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 Karthik Desingh. Karthik Desingh 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | Sketching Affordances for Human-in-the-loop Robotic Manipulation Tasks | 1 |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 35 | |
| 11 | 14 | |
| 12 | 120 | |
| 13 | 1 |
About Karthik Desingh
Karthik Desingh is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 13 papers that have together received 222 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Reinforcement Learning in Robotics (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Human-Computer Interaction (43 citations), Computer Vision and Pattern Recognition (150 citations) and Sensory Systems (23 citations). Karthik Desingh has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Deepu Rajan, C. V. Jawahar, Odest Chadwicke Jenkins, Nediyana Daskalova, Alexandra Papoutsaki, Han Sha, Jeff Huang, Anthony W. Opipari, Walter S. Lasecki and Jinyeong Yim. Their work appears in journals such as The International Journal of Robotics Research, Science Robotics and IEEE Robotics and Automation Letters.
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.