Marco Hutter

404 citations
24 papers · 263 · h-index 8

Impact in

Papers in

Marco Hutter

21 papers receiving 251 citations

Peers

Marco Hutter
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 126
  • Signal Processing 38
  • Artificial Intelligence 85
  • Biophysics 11
  • Control and Systems Engineering 41
Replace Derek Molloy with:
Derek Molloy Ireland
Zhengzhong Tu United States
Kalyan Vasudev Alwala United States
Bipin Suresh United States
Hongyi Zhang China
S. Amirhassan Monadjemi Iran
E. S. Gopi India
Yong Rui United States
E. Logashanmugam India
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017113
2 201841
3 201921
4 202115
5 201113
6 201012
7
Explorative analysis of 2D color maps
201510
8 20157
9 20215
10 20244
11 20243
12 20143
13 20243
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, Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering, having authored 24 papers that have together received 263 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Data Visualization and Analytics (5 papers), Robot Manipulation and Learning (3 papers), Robotic Locomotion and Control (3 papers), Robotics and Sensor-Based Localization (2 papers), Image Retrieval and Classification Techniques (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Signal Processing (38 citations), Artificial Intelligence (85 citations), Biophysics (11 citations) and Control and Systems Engineering (41 citations). Marco Hutter has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Jürgen Bernard, Michael Sedlmair, Matthias Zeppelzauer, 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 Digital Library (University of West Bohemia).

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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