Pavel Tokmakov
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Co-authors
- Carl VondrickRuoshi LiuBasile Van HoorickRundi WuSergey ZakharovMartial HebertCordelia SchmidYubo Zhang
- Topics
- Advanced Neural Network Applications (5 papers)Advanced Vision and Imaging (4 papers)Video Surveillance and Tracking Methods (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- Artificial Intelligence2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)The Journal of Trauma: Injury, Infection, and Critical Care
- Partner nations
- United StatesJamaicaBulgaria
In The Last Decade
Pavel Tokmakov
16 papers receiving 512 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 364
- Computer Graphics and Computer-Aided Design 139
- Computational Mechanics 125
- Artificial Intelligence 103
- Control and Systems Engineering 54
Countries citing papers authored by Pavel Tokmakov
This map shows the geographic impact of Pavel Tokmakov'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 Pavel Tokmakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Tokmakov more than expected).
Fields of papers citing papers by Pavel Tokmakov
This network shows the impact of papers produced by Pavel Tokmakov. 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 Pavel Tokmakov. The network helps show where Pavel Tokmakov may publish in the future.
Co-authorship network of co-authors of Pavel Tokmakov
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Tokmakov. A scholar is included among the top collaborators of Pavel Tokmakov 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 Pavel Tokmakov. Pavel Tokmakov 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 | 10 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | Zero-1-to-3: Zero-shot One Image to 3D Objectbreakdown → | 298 |
| 6 | 34 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | 59 | |
| 13 | 7 | |
| 14 | 11 | |
| 15 | 29 | |
| 16 | Treatment of ruptures of Achilles' tendons by an external fixator. | 1 |
| 17 | 6 |
About Pavel Tokmakov
Pavel Tokmakov is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 17 papers that have together received 531 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (139 citations), Computer Vision and Pattern Recognition (364 citations) and Computational Mechanics (125 citations). Pavel Tokmakov has collaborated with scholars based in United States, Jamaica and Bulgaria. Frequent co-authors include Carl Vondrick, Ruoshi Liu, Basile Van Hoorick, Rundi Wu, Sergey Zakharov, Martial Hebert, Cordelia Schmid, Yubo Zhang, Adrien Gaidon and Yu-Xiong Wang. Their work appears in journals such as Artificial Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and The Journal of Trauma: Injury, Infection, and Critical Care.
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.