Eduard Gabriel Băzăvan
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Control and Systems Engineering
- Computer Graphics and Computer-Aided Design top 5%
- Biomedical Engineering
- Co-authors
- Cristian SminchisescuAndrei ZanfirHongyi XuWilliam T. FreemanRahul SukthankarMihai ZanfirEnric CoronaThiemo Alldieck
- Topics
- Human Motion and Animation (2 papers)3D Shape Modeling and Analysis (2 papers)Human Pose and Action Recognition (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- Neural Information Processing Systems
- Partner nations
- United StatesRomaniaUnited Kingdom
In The Last Decade
Eduard Gabriel Băzăvan
4 papers receiving 211 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 181
- Computational Mechanics 114
- Control and Systems Engineering 52
- Computer Graphics and Computer-Aided Design 38
- Biomedical Engineering 35
Countries citing papers authored by Eduard Gabriel Băzăvan
This map shows the geographic impact of Eduard Gabriel Băzăvan'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 Eduard Gabriel Băzăvan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduard Gabriel Băzăvan more than expected).
Fields of papers citing papers by Eduard Gabriel Băzăvan
This network shows the impact of papers produced by Eduard Gabriel Băzăvan. 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 Eduard Gabriel Băzăvan. The network helps show where Eduard Gabriel Băzăvan may publish in the future.
Co-authorship network of co-authors of Eduard Gabriel Băzăvan
This figure shows the co-authorship network connecting the top 25 collaborators of Eduard Gabriel Băzăvan. A scholar is included among the top collaborators of Eduard Gabriel Băzăvan 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 Eduard Gabriel Băzăvan. Eduard Gabriel Băzăvan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision | 8 |
| 4 | GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Modelsbreakdown → | 191 |
About Eduard Gabriel Băzăvan
Eduard Gabriel Băzăvan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 4 papers that have together received 217 indexed citations. Recurring topics across this work include Human Motion and Animation (2 papers), 3D Shape Modeling and Analysis (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (38 citations), Computer Vision and Pattern Recognition (181 citations) and Computational Mechanics (114 citations). Eduard Gabriel Băzăvan has collaborated with scholars based in United States, Romania and United Kingdom. Frequent co-authors include Cristian Sminchisescu, Andrei Zanfir, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Mihai Zanfir, Enric Corona, Thiemo Alldieck, Nikos Kolotouros and Vlad Olaru. Their work appears in journals such as Neural Information Processing Systems.
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.