Tomáš Hodaň

1.9k total citations · 1 hit paper
10 papers, 545 citations indexed

About

Tomáš Hodaň is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Tomáš Hodaň has authored 10 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Tomáš Hodaň's work include Robotics and Sensor-Based Localization (5 papers), Robot Manipulation and Learning (4 papers) and Human Pose and Action Recognition (3 papers). Tomáš Hodaň is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Robot Manipulation and Learning (4 papers) and Human Pose and Action Recognition (3 papers). Tomáš Hodaň collaborates with scholars based in United States, Czechia and France. Tomáš Hodaň's co-authors include Jiřı́ Matas, Štěpán Obdržálek, Manolis Lourakis, Xenophon Zabulis, Martin Sundermeyer, Minh Vo, Lingni Ma, Chris Sweeney, Richard Newcombe and Enric Corona and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and elib (German Aerospace Center).

In The Last Decade

Tomáš Hodaň

10 papers receiving 520 citations

Hit Papers

T-LESS: An RGB-D Dataset for 6D Pose Estimation of Textur... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects
    2017 285 citations Tomáš Hodaň, Štěpán Obdržálek et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomáš Hodaň United States 8 390 294 276 70 67 10 545
Eric Brachmann Germany 9 776 2.0× 342 1.2× 699 2.5× 152 2.2× 63 0.9× 15 973
Bertram Drost Germany 7 527 1.4× 328 1.1× 584 2.1× 277 4.0× 90 1.3× 9 870
Fred Rothganger United States 8 428 1.1× 156 0.5× 263 1.0× 28 0.4× 56 0.8× 18 548
Rigas Kouskouridas Greece 10 375 1.0× 156 0.5× 230 0.8× 44 0.6× 41 0.6× 20 477
Leonid Keselman United States 3 292 0.7× 92 0.3× 97 0.4× 36 0.5× 30 0.4× 5 388
Christian Potthast United States 5 287 0.7× 76 0.3× 290 1.1× 144 2.1× 20 0.3× 5 438
Robert B. Kelley United States 12 339 0.9× 132 0.4× 142 0.5× 30 0.4× 66 1.0× 40 480
Tanner Schmidt United States 9 382 1.0× 126 0.4× 142 0.5× 56 0.8× 30 0.4× 11 496
Yonggen Ling China 10 308 0.8× 53 0.2× 127 0.5× 32 0.5× 33 0.5× 30 372
Tim Bodenmüller Germany 10 334 0.9× 92 0.3× 309 1.1× 96 1.4× 48 0.7× 35 467

Countries citing papers authored by Tomáš Hodaň

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Hodaň

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Hodaň

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

All Works

10 of 10 papers shown
1.
Banerjee, Prithviraj, Shangchen Han, Fan Zhang, et al.. (2025). HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos. 7061–7071. 2 indexed citations
2.
Hodaň, Tomáš, Martin Sundermeyer, Yann Labbé, et al.. (2024). BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. 5610–5619. 14 indexed citations
3.
Şener, Fadime, Edoardo Remelli, Tomáš Hodaň, et al.. (2024). DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions. 1–11. 2 indexed citations
4.
Groueix, Thibault, et al.. (2023). CNOS: A Strong Baseline for CAD-based Novel Object Segmentation. 2126–2132. 14 indexed citations
5.
He, Kun, et al.. (2023). AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation. 12999–13008. 27 indexed citations
6.
Sundermeyer, Martin, Tomáš Hodaň, Yann Labbé, et al.. (2023). BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. 2785–2794. 31 indexed citations
7.
Corona, Enric, Tomáš Hodaň, Minh Vo, et al.. (2022). LISA: Learning Implicit Shape and Appearance of Hands. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20501–20511. 49 indexed citations
8.
Sundermeyer, Martin, et al.. (2020). BlenderProc: Reducing the Reality Gap with Photorealistic Rendering. elib (German Aerospace Center). 36 indexed citations
9.
Hodaň, Tomáš, et al.. (2017). T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects. 880–888. 285 indexed citations breakdown →
10.
Hodaň, Tomáš, Xenophon Zabulis, Manolis Lourakis, Štěpán Obdržálek, & Jiřı́ Matas. (2015). Detection and fine 3D pose estimation of texture-less objects in RGB-D images. 4421–4428. 85 indexed citations

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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