Srinath Sridhar
- Computer Vision and Pattern Recognition top 1%
- Human-Computer Interaction top 1%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computational Mechanics top 10%
- Co-authors
- Christian TheobaltDushyant MehtaOleksandr SotnychenkoWeipeng XuMohammad ShafieiHans‐Peter SeidelHelge RhodinDan Casas
- Topics
- Human Pose and Action Recognition (3 papers)Stroke Rehabilitation and Recovery (2 papers)Advanced Vision and Imaging (2 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- ACM Transactions on GraphicsMax Planck Digital Library
- Partner nations
- GermanySwitzerlandJapan
In The Last Decade
Srinath Sridhar
4 papers receiving 811 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 713
- Human-Computer Interaction 278
- Control and Systems Engineering 213
- Biomedical Engineering 129
- Computational Mechanics 89
Countries citing papers authored by Srinath Sridhar
This map shows the geographic impact of Srinath Sridhar'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 Srinath Sridhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinath Sridhar more than expected).
Fields of papers citing papers by Srinath Sridhar
This network shows the impact of papers produced by Srinath Sridhar. 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 Srinath Sridhar. The network helps show where Srinath Sridhar may publish in the future.
Co-authorship network of co-authors of Srinath Sridhar
This figure shows the co-authorship network connecting the top 25 collaborators of Srinath Sridhar. A scholar is included among the top collaborators of Srinath Sridhar 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 Srinath Sridhar. Srinath Sridhar 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 | Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input | 7 |
| 3 | VNectbreakdown → | 690 |
| 4 | 2 | |
| 5 | 147 |
About Srinath Sridhar
Srinath Sridhar is a scholar working on Human-Computer Interaction, Rehabilitation and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 846 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Stroke Rehabilitation and Recovery (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Human-Computer Interaction (278 citations), Computer Vision and Pattern Recognition (713 citations) and Control and Systems Engineering (213 citations). Srinath Sridhar has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Christian Theobalt, Dushyant Mehta, Oleksandr Sotnychenko, Weipeng Xu, Mohammad Shafiei, Hans‐Peter Seidel, Helge Rhodin, Dan Casas, Antti Oulasvirta and Franziska Mueller. Their work appears in journals such as ACM Transactions on Graphics and Max Planck Digital Library.
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.