Marco Hutter

415 citations
25 papers · 272 · h-index 8

Impact in

Papers in

Marco Hutter

22 papers receiving 260 citations

Peers

Marco Hutter
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 131
  • Signal Processing 37
  • Artificial Intelligence 87
  • Control and Systems Engineering 42
  • Biophysics 10
Replace Derek Molloy with:
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Hongyi Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Marco Hutter

Since Specialization
Citations

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

Fields of papers citing papers by Marco Hutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 201841
3 201922
4 202116
5 201113
6 201012
7
Explorative analysis of 2D color maps
201511
8 20157
9 20245
10 20215
11 20244
12 20243
13 20143
14 20242
15 20202
16 20142
17
Conference Presentation Slides on Kinect v2 for Mobile Robot Navigation: Evaluation and Modeling
20152
18 20192
19 20241
20 20241

About Marco Hutter

Marco Hutter is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering and Biomedical Engineering, having authored 25 papers that have together received 272 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Data Visualization and Analytics (5 papers), Robotic Locomotion and Control (3 papers), Robot Manipulation and Learning (3 papers), Manufacturing Process and Optimization (2 papers), Modular Robots and Swarm Intelligence (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Signal Processing (37 citations), Artificial Intelligence (87 citations), Control and Systems Engineering (42 citations) and Biophysics (10 citations). Marco Hutter has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Jürgen Bernard, Matthias Zeppelzauer, Michael Sedlmair, Dieter W. Fellner, Péter Fankhauser, Roland Siegwart, Jörn Kohlhammer, Mark A. Hoepflinger, C. David Remy and René Ranftl. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, The International Journal of Robotics Research and Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences).

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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