Marcelo Kallmann

40 papers and 421 indexed citations i.

About

Marcelo Kallmann is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction. According to data from OpenAlex, Marcelo Kallmann has authored 40 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 24 papers in Control and Systems Engineering and 8 papers in Human-Computer Interaction. Recurrent topics in Marcelo Kallmann’s work include Human Motion and Animation (19 papers), Robotic Path Planning Algorithms (16 papers) and Human Pose and Action Recognition (13 papers). Marcelo Kallmann is often cited by papers focused on Human Motion and Animation (19 papers), Robotic Path Planning Algorithms (16 papers) and Human Pose and Action Recognition (13 papers). Marcelo Kallmann collaborates with scholars based in United States, Switzerland and Brazil. Marcelo Kallmann's co-authors include Daniël Thalmann, Daniel Thalmann, Mentar Mahmudi, Mubbasir Kapadia, Amaury Aubel, Devin Greene, Barry G. Hall, Kristina Crona, Miriam Barlow and Jay J. Han and has published in prestigious journals such as PLoS ONE, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Marcelo Kallmann i

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.

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).

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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2025