Mihai Zanfir
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Co-authors
- Cristian SminchisescuMarius LeordeanuVlad OlaruThiemo AlldieckElisabeta MarinoiuAndrei ZanfirEduard Gabriel BăzăvanEnric Corona
- Topics
- Human Pose and Action Recognition (7 papers)Advanced Vision and Imaging (3 papers)Human Motion and Animation (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Lund University Publications (Lund University)
In The Last Decade
Mihai Zanfir
11 papers receiving 716 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 649
- Biomedical Engineering 174
- Human-Computer Interaction 165
- Artificial Intelligence 156
- Computational Mechanics 138
Countries citing papers authored by Mihai Zanfir
This map shows the geographic impact of Mihai Zanfir'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 Mihai Zanfir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Zanfir more than expected).
Fields of papers citing papers by Mihai Zanfir
This network shows the impact of papers produced by Mihai Zanfir. 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 Mihai Zanfir. The network helps show where Mihai Zanfir may publish in the future.
Co-authorship network of co-authors of Mihai Zanfir
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Zanfir. A scholar is included among the top collaborators of Mihai Zanfir 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 Mihai Zanfir. Mihai Zanfir 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 | 15 | |
| 4 | 82 | |
| 5 | REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision | 8 |
| 6 | 44 | |
| 7 | 47 | |
| 8 | Deep network for the integrated 3D sensing of multiple people in natural images | 59 |
| 9 | 46 | |
| 10 | 66 | |
| 11 | 82 | |
| 12 | The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detectionbreakdown → | 290 |
About Mihai Zanfir
Mihai Zanfir is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 740 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Advanced Vision and Imaging (3 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (649 citations), Human-Computer Interaction (165 citations) and Computer Graphics and Computer-Aided Design (42 citations). Mihai Zanfir has collaborated with scholars based in Romania, Czechia and Sweden. Frequent co-authors include Cristian Sminchisescu, Marius Leordeanu, Vlad Olaru, Thiemo Alldieck, Elisabeta Marinoiu, Andrei Zanfir, Eduard Gabriel Băzăvan and Enric Corona. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Lund University Publications (Lund 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.