Karthik Desingh

450 total citations
13 papers, 222 citations indexed

About

Karthik Desingh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Karthik Desingh has authored 13 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Karthik Desingh's work include Robot Manipulation and Learning (4 papers), Visual Attention and Saliency Detection (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Karthik Desingh is often cited by papers focused on Robot Manipulation and Learning (4 papers), Visual Attention and Saliency Detection (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Karthik Desingh collaborates with scholars based in United States, India and Singapore. Karthik Desingh's co-authors include Deepu Rajan, C. V. Jawahar, Odest Chadwicke Jenkins, Nediyana Daskalova, Han Sha, Jeff Huang, Alexandra Papoutsaki, Anthony W. Opipari, Walter S. Lasecki and Jinyeong Yim and has published in prestigious journals such as The International Journal of Robotics Research, Science Robotics and IEEE Robotics and Automation Letters.

In The Last Decade

Karthik Desingh

12 papers receiving 216 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karthik Desingh United States 6 150 43 37 29 29 13 222
Isabelle Ferrané France 7 79 0.5× 55 1.3× 39 1.1× 35 1.2× 5 0.2× 29 195
Stefan Mathe Sweden 5 233 1.6× 54 1.3× 9 0.2× 29 1.0× 13 0.4× 5 265
Zixiang Fei China 8 136 0.9× 30 0.7× 11 0.3× 55 1.9× 30 1.0× 21 265
T. Horprasert United States 6 288 1.9× 51 1.2× 17 0.5× 11 0.4× 31 1.1× 6 318
Ruidong Zhang United States 9 86 0.6× 83 1.9× 13 0.4× 39 1.3× 22 0.8× 27 239
Yupeng Cheng China 6 300 2.0× 38 0.9× 5 0.1× 73 2.5× 26 0.9× 9 341
Cristina Palmero Spain 7 115 0.8× 26 0.6× 27 0.7× 5 0.2× 13 0.4× 21 192
Marc Lalonde Canada 8 194 1.3× 59 1.4× 8 0.2× 33 1.1× 37 1.3× 21 353
Bastian Goldlücke Germany 9 344 2.3× 10 0.2× 13 0.4× 50 1.7× 27 0.9× 14 405
Lingyu Wei United States 7 388 2.6× 96 2.2× 46 1.2× 26 0.9× 18 0.6× 11 486

Countries citing papers authored by Karthik Desingh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
1.
Opipari, Anthony W., et al.. (2024). DNBP: Differentiable Nonparametric Belief Propagation. PolyPublie (École Polytechnique de Montréal). 1(1). 1–24. 1 indexed citations
2.
Rezazadeh, Alireza, et al.. (2024). SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics. 33. 17508–17514. 1 indexed citations
3.
4.
Winge, C., et al.. (2024). Talk Through It: End User Directed Manipulation Learning. IEEE Robotics and Automation Letters. 9(9). 8051–8058. 3 indexed citations
5.
Desingh, Karthik, et al.. (2019). Efficient nonparametric belief propagation for pose estimation and manipulation of articulated objects. Science Robotics. 4(30). 12 indexed citations
6.
LaViola, Joseph J., et al.. (2019). Sketching Affordances for Human-in-the-loop Robotic Manipulation Tasks. 1 indexed citations
7.
Yim, Jinyeong, et al.. (2018). EURECA: Enhanced Understanding of Real Environments via Crowd Assistance. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 6. 31–40. 12 indexed citations
8.
Desingh, Karthik, et al.. (2018). Gemsketch: Interactive Image-Guided Geometry Extraction from Point Clouds. Journal of International Crisis and Risk Communication Research. 2184–2191. 1 indexed citations
9.
Jenkins, Odest Chadwicke, et al.. (2017). Goal-directed robot manipulation through axiomatic scene estimation. The International Journal of Robotics Research. 36(1). 86–104. 21 indexed citations
10.
Daskalova, Nediyana, et al.. (2017). Lessons Learned from Two Cohorts of Personal Informatics Self-Experiments. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 1(3). 1–22. 35 indexed citations
11.
Jenkins, Odest Chadwicke, et al.. (2015). Axiomatic particle filtering for goal-directed robotic manipulation. 4429–4436. 14 indexed citations
12.
Desingh, Karthik, et al.. (2013). Depth really Matters: Improving Visual Salient Region Detection with Depth. 98.1–98.11. 120 indexed citations
13.
Desingh, Karthik, et al.. (2012). Viewpoint based mobile robotic exploration aiding object search in indoor environment. 1–8. 1 indexed citations

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.

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2026