Eldar Insafutdinov
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 2%
- Biomedical Engineering
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Bernt SchieleBjoern AndresSiyu TangLeonid PishchulinMykhaylo AndrilukaPeter GehlerEvgeny LevinkovMohammad Shafiei
- Topics
- Human Pose and Action Recognition (6 papers)Advanced Vision and Imaging (5 papers)Video Surveillance and Tracking Methods (3 papers)
- Journals
- ACM Transactions on GraphicsFreiDok plus (Universitätsbibliothek Freiburg)arXiv (Cornell University)
- Partner nations
- GermanyUnited KingdomAustralia
In The Last Decade
Eldar Insafutdinov
9 papers receiving 916 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 840
- Artificial Intelligence 247
- Human-Computer Interaction 213
- Biomedical Engineering 170
- Endocrinology, Diabetes and Metabolism 72
Countries citing papers authored by Eldar Insafutdinov
This map shows the geographic impact of Eldar Insafutdinov'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 Eldar Insafutdinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eldar Insafutdinov more than expected).
Fields of papers citing papers by Eldar Insafutdinov
This network shows the impact of papers produced by Eldar Insafutdinov. 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 Eldar Insafutdinov. The network helps show where Eldar Insafutdinov may publish in the future.
Co-authorship network of co-authors of Eldar Insafutdinov
This figure shows the co-authorship network connecting the top 25 collaborators of Eldar Insafutdinov. A scholar is included among the top collaborators of Eldar Insafutdinov 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 Eldar Insafutdinov. Eldar Insafutdinov 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 | 1 | |
| 3 | 3 | |
| 4 | 151 | |
| 5 | 58 | |
| 6 | Joint Graph Decomposition and Node Labeling by Local Search. | 5 |
| 7 | Articulated Multi-person Tracking in the Wild. | 12 |
| 8 | DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimationbreakdown → | 622 |
| 9 | 96 | |
| 10 | Dense-CNN: Fully Convolutional Neural Networks for Human Body Pose Estimation | 1 |
About Eldar Insafutdinov
Eldar Insafutdinov is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 10 papers that have together received 949 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Advanced Vision and Imaging (5 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (840 citations), Human-Computer Interaction (213 citations) and Artificial Intelligence (247 citations). Eldar Insafutdinov has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Bernt Schiele, Bjoern Andres, Siyu Tang, Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler, Evgeny Levinkov, Mohammad Shafiei, Hans‐Peter Seidel and Helge Rhodin. Their work appears in journals such as ACM Transactions on Graphics, FreiDok plus (Universitätsbibliothek Freiburg) and arXiv (Cornell University).
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.