Marcelo Kallmann

2.3k citations
76 papers · 1.1k · h-index 20

Impact in

Papers in

Marcelo Kallmann

72 papers receiving 977 citations

Peers

Marcelo Kallmann
Comparison fields: 5 of 116
  • Human-Computer Interaction 190
  • Computer Vision and Pattern Recognition 616
  • Control and Systems Engineering 521
  • Computer Graphics and Computer-Aided Design 71
  • Ocean Engineering 146
Replace Jun Takamatsu with:
Jun Takamatsu Japan
Manfred Lau United Kingdom
Yibiao Zhao United States
Marcos Fernández Spain
Tolga Çapın Türkiye
Abhinav Gupta United States
Céline Loscos France
Stéphane Donikian France
Andreas Aristidou Cyprus
Alla Safonova United States
Marcelo Kallmann relative to Jun Takamatsu Japan Jun Takamatsu's profile →
Citations per field
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Jun Takamatsu · 1×
Citations per year

Countries citing papers authored by Marcelo Kallmann

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Kallmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcelo Kallmann, 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 Marcelo Kallmann Line = papers co-authored together Marcelo Kallmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008132
2 201560
3 200357
4 199956
5 200041
6 201340
7 200738
8 201034
9 201434
10 200231
11 200831
12 200731
13 200026
14 201425
15 200723
16 201622
17 200122
18 201321
19 200321
20 200820

About Marcelo Kallmann

Marcelo Kallmann is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Motion and Animation (39 papers), Robotic Path Planning Algorithms (30 papers), Human Pose and Action Recognition (23 papers), Video Analysis and Summarization (12 papers), Robot Manipulation and Learning (9 papers), Computational Geometry and Mesh Generation (8 papers), Artificial Intelligence in Games (6 papers) and Evacuation and Crowd Dynamics (6 papers). The work is most often cited by research in Human-Computer Interaction (190 citations), Computer Vision and Pattern Recognition (616 citations), Control and Systems Engineering (521 citations), Computer Graphics and Computer-Aided Design (71 citations) and Ocean Engineering (146 citations). Marcelo Kallmann has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Daniël Thalmann, Marcus Thiébaux, Andrew N. Marshall, Stacy Marsella, Mubbasir Kapadia, Daniel Thalmann, Amaury Aubel, Mentar Mahmudi, Fabrizio Galeazzi and Ari Shapiro. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Computer Graphics Forum, Computers & Graphics and IEEE Robotics and Automation Letters.

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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