Markus Hofbauer

468 citations
31 papers · 323 · h-index 10

Impact in

Papers in

Markus Hofbauer

29 papers receiving 317 citations

Peers

Markus Hofbauer
Comparison fields: 5 of 53
  • Experimental and Cognitive Psychology 109
  • Cognitive Neuroscience 129
  • Computer Vision and Pattern Recognition 91
  • Sensory Systems 20
  • Automotive Engineering 47
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Pamela Zontone Italy
V. Sundareswaran United States
Kai Siedenburg Germany
Mark Elshaw United Kingdom
Fuwang Wang China
Gaëtan Lorho Finland
Yijun Zhou China
Felipe Grijalva Ecuador
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Citations per field
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Citations per year

Countries citing papers authored by Markus Hofbauer

Since Specialization
Citations

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

Fields of papers citing papers by Markus Hofbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Markus Hofbauer, 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 Markus Hofbauer Line = papers co-authored together Markus Hofbauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200380
2 202027
3 202021
4 202020
5 202019
6 201219
7 200417
8 200917
9 202013
10 202011
11 20229
12 20009
13 20218
14 20217
15 20227
16 20217
17 20206
18 20205
19 20224
20 20223

About Markus Hofbauer

Markus Hofbauer is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 31 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Multisensory perception and integration (5 papers), Visual Attention and Saliency Detection (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Visual perception and processing mechanisms (4 papers), Hearing Loss and Rehabilitation (3 papers), Video Coding and Compression Technologies (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (109 citations), Cognitive Neuroscience (129 citations), Computer Vision and Pattern Recognition (91 citations), Sensory Systems (20 citations) and Automotive Engineering (47 citations). Markus Hofbauer has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Eckehard Steinbach, Goran Petrović, Sophie Wuerger, Georg Meyer, Christoph Zetzsche, Kerstin Schill, G.S. Moschytz, Martin Mueller, Andrea Kegel and Norbert Dillier. Their work appears in journals such as Journal of Vision, The Journal of the Acoustical Society of America, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology and Cognitive Affective & Behavioral Neuroscience.

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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