Timur Bagautdinov

1.2k citations
19 papers · 589 indexed · h-index 10
Topics
3D Shape Modeling and Analysis (8 papers)Advanced Vision and Imaging (7 papers)Computer Graphics and Visualization Techniques (7 papers)
Journals
IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on GraphicsInfoscience (Ecole Polytechnique Fédérale de Lausanne)

In The Last Decade

Timur Bagautdinov

19 papers receiving 574 citations

Peers

Timur Bagautdinov
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 477
  • Computational Mechanics 199
  • Artificial Intelligence 151
  • Computer Graphics and Computer-Aided Design 139
  • Control and Systems Engineering 56
Replace Liang-Yan Gui with:
Liang-Yan Gui United States
Chongjian Ge Hong Kong
Xinxin Zuo China
Pengfei Xu China
Ke Gong China
Jiemin Fang China
Yuchi Huo China
Alain Crouzil France
Jeremy Reizenstein United Kingdom
Timur Bagautdinov relative to Liang-Yan Gui United States Liang-Yan Gui's profile →
Citations per field
00.5×6.5×
Liang-Yan Gui · 1×
Citations per year

Countries citing papers authored by Timur Bagautdinov

Since Specialization
Citations

This map shows the geographic impact of Timur Bagautdinov'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 Timur Bagautdinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timur Bagautdinov more than expected).

Fields of papers citing papers by Timur Bagautdinov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timur Bagautdinov. 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 Timur Bagautdinov. The network helps show where Timur Bagautdinov may publish in the future.

Co-authorship network of co-authors of Timur Bagautdinov

This figure shows the co-authorship network connecting the top 25 collaborators of Timur Bagautdinov. A scholar is included among the top collaborators of Timur Bagautdinov 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 Timur Bagautdinov. Timur Bagautdinov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 7
3 3
4 15
5 11
6 6
7 3
8 28
9 9
10 42
11 57
12 3
13 34
14 65
15 121
16 142
17 7
18 29
19 3

About Timur Bagautdinov

Timur Bagautdinov is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 19 papers that have together received 589 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (8 papers), Advanced Vision and Imaging (7 papers) and Computer Graphics and Visualization Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (139 citations), Computer Vision and Pattern Recognition (477 citations) and Computational Mechanics (199 citations). Timur Bagautdinov has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Pascal Fua, François Fleuret, Silvio Savarese, Alexandre Alahi, Jason Saragih, Chenglei Wu, Yaser Sheikh, Jessica K. Hodgins, Pierre Baqué and Tomas Simon. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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.

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