Dan Casas

44 papers receiving 2.8k citations

Dan Casas's Hit Papers

GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB 2018 · 317 citations
3170+3+6Years since publication200400600

Peers

Dan Casas
Comparison fields: 5 of 111
  • Human-Computer Interaction 762
  • Computer Graphics and Computer-Aided Design 395
  • Computer Vision and Pattern Recognition 2.3k
  • Computational Mechanics 838
  • Control and Systems Engineering 738
Replace Weipeng Xu with:
Weipeng Xu Germany
Javier Romero Germany
Matthew Loper Germany
Naureen Mahmood Germany
Dushyant Mehta Germany
Hanbyul Joo South Korea
Georgios Pavlakos United States
Gerard Pons‐Moll Germany
Oleksandr Sotnychenko Germany
Jinxiang Chai United States
Dan Casas relative to Weipeng Xu Germany Weipeng Xu's profile →
Citations per field
00.5×6.8×
Weipeng Xu · 1×
Citations per year

Countries citing papers authored by Dan Casas

Since Specialization
Citations

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

Fields of papers citing papers by Dan Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Casas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Casas Line = papers co-authored together Dan Casas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
VNect
Hit paper breakdown →
2017690
2
Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision
Hit paper breakdown →
2017609
3
GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB
Hit paper breakdown →
2018317
4 2016163
5 2019118
6 2019103
7 201696
8 202166
9 201764
10 202060
11 202258
12 201457
13 201552
14 202047
15 202030
16 201628
17 202226
18 202124
19 201223
20 201221

About Dan Casas

Dan Casas is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Human Motion and Animation (21 papers), Human Pose and Action Recognition (20 papers), 3D Shape Modeling and Analysis (19 papers), Computer Graphics and Visualization Techniques (13 papers), Advanced Vision and Imaging (12 papers), Hand Gesture Recognition Systems (8 papers), Video Surveillance and Tracking Methods (5 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Human-Computer Interaction (762 citations), Computer Graphics and Computer-Aided Design (395 citations), Computer Vision and Pattern Recognition (2.3k citations), Computational Mechanics (838 citations) and Control and Systems Engineering (738 citations). Dan Casas has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Christian Theobalt, Oleksandr Sotnychenko, Dushyant Mehta, Helge Rhodin, Weipeng Xu, Miguel Á. Otaduy, Hans‐Peter Seidel, Mohammad Shafiei, Igor Santesteban and Pascal Fua. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, International Journal of Computer Vision, Computers & Graphics and IEEE Transactions on Visualization and Computer Graphics.

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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