Markus Hofbauer

468 total citations
31 papers, 323 citations indexed

About

Markus Hofbauer is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Markus Hofbauer has authored 31 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Markus Hofbauer's work include Advanced Neural Network Applications (10 papers), Multisensory perception and integration (5 papers) and Visual Attention and Saliency Detection (4 papers). Markus Hofbauer is often cited by papers focused on Advanced Neural Network Applications (10 papers), Multisensory perception and integration (5 papers) and Visual Attention and Saliency Detection (4 papers). Markus Hofbauer collaborates with scholars based in Germany, Switzerland and United Kingdom. Markus Hofbauer's co-authors include Eckehard Steinbach, Goran Petrović, Sophie Wuerger, Georg Meyer, Christoph Zetzsche, Kerstin Schill, G.S. Moschytz, Andrea Kegel, Martin Mueller and Norbert Dillier and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Markus Hofbauer

29 papers receiving 317 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Hofbauer Germany 10 129 109 91 55 54 31 323
Pamela Zontone Italy 12 104 0.8× 155 1.4× 101 1.1× 29 0.5× 65 1.2× 42 390
Mark Elshaw United Kingdom 11 82 0.6× 102 0.9× 141 1.5× 81 1.5× 87 1.6× 23 350
Fuwang Wang China 10 142 1.1× 151 1.4× 35 0.4× 31 0.6× 36 0.7× 33 372
Kai Siedenburg Germany 12 230 1.8× 79 0.7× 98 1.1× 24 0.4× 14 0.3× 43 381
Yijun Zhou China 12 43 0.3× 72 0.7× 61 0.7× 82 1.5× 44 0.8× 39 344
Ronan Flynn Ireland 11 79 0.6× 60 0.6× 151 1.7× 52 0.9× 56 1.0× 56 388
Boris Schauerte Germany 11 80 0.6× 30 0.3× 202 2.2× 24 0.4× 31 0.6× 23 314
Wolfgang Müeller-Wittig Singapore 11 140 1.1× 63 0.6× 60 0.7× 23 0.4× 63 1.2× 23 422
Gaëtan Lorho Finland 8 142 1.1× 44 0.4× 168 1.8× 84 1.5× 15 0.3× 23 520
Ahmad Haj Mosa Austria 10 153 1.2× 190 1.7× 67 0.7× 49 0.9× 37 0.7× 15 328

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-authorship network of co-authors of Markus Hofbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Hofbauer. A scholar is included among the top collaborators of Markus Hofbauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Hofbauer. Markus Hofbauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hofbauer, Markus, et al.. (2022). Teaching software engineering as programming over time. 51–58. 2 indexed citations
2.
Hofbauer, Markus, et al.. (2022). Evaluation of Video Coding for Machines without Ground Truth. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1616–1620. 3 indexed citations
3.
4.
Hofbauer, Markus, et al.. (2022). Improving Multimodal Object Detection with Individual Sensor Monitoring. 97–104. 2 indexed citations
5.
Hofbauer, Markus, et al.. (2022). Preprocessor Rate Control for Adaptive Multi-View Live Video Streaming Using a Single Encoder. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5551–5565. 2 indexed citations
6.
Hoffmann, Simon, et al.. (2022). Quantifying the Influence of Image Quality on Operator Reaction Times for Teleoperated Road Vehicles. AHFE international. 1 indexed citations
7.
Hofbauer, Markus, et al.. (2021). Binaural Signal Processing in Hearing Aids. Seminars in Hearing. 42(3). 206–223. 8 indexed citations
8.
Hofbauer, Markus, et al.. (2021). Pixel-Wise Failure Prediction For Semantic Video Segmentation. mediaTUM (Technical University of Munich). 614–618. 7 indexed citations
9.
Hofbauer, Markus, et al.. (2020). Multi-View Region of Interest Prediction for Autonomous Driving Using Semi-Supervised Labeling. mediaTUM (Technical University of Munich). 1–6. 13 indexed citations
10.
Hofbauer, Markus, et al.. (2020). TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components. mediaTUM (Technical University of Munich). 335–340. 27 indexed citations
11.
Hofbauer, Markus, et al.. (2020). Measuring Driver Situation Awareness Using Region-of-Interest Prediction and Eye Tracking. mediaTUM (Technical University of Munich). 91–95. 20 indexed citations
12.
Hofbauer, Markus, et al.. (2020). Introspective Failure Prediction for Autonomous Driving Using Late Fusion of State and Camera Information. IEEE Transactions on Intelligent Transportation Systems. 23(5). 4445–4459. 19 indexed citations
13.
Hofbauer, Markus, et al.. (2020). Better Look Twice - Improving Visual Scene Perception Using a Two-Stage Approach. mediaTUM (Technical University of Munich). 33–40. 5 indexed citations
14.
Russo, Frank, et al.. (2013). Development of a new series of tests to assess the effectiveness of hearing aids for the perception of music. The Journal of the Acoustical Society of America. 133(5_Supplement). 3366–3366. 1 indexed citations
15.
Mueller, Martin, et al.. (2012). Localization of virtual sound sources with bilateral hearing aids in realistic acoustical scenes. The Journal of the Acoustical Society of America. 131(6). 4732–4742. 19 indexed citations
16.
Wuerger, Sophie, Markus Hofbauer, & Georg Meyer. (2010). The integration of auditory and visual motion is not direction selective. Journal of Vision. 2(7). 663–663.
17.
Wuerger, Sophie, Georg Meyer, Markus Hofbauer, Christoph Zetzsche, & Kerstin Schill. (2009). Motion extrapolation of auditory–visual targets. Information Fusion. 11(1). 45–50. 17 indexed citations
18.
Hofbauer, Markus, et al.. (2004). Catching audiovisual mice: Predicting the arrival time of auditory-visual motion signals. Cognitive Affective & Behavioral Neuroscience. 4(2). 241–250. 17 indexed citations
19.
Wuerger, Sophie, Markus Hofbauer, & Georg Meyer. (2003). The integration of auditory and visual motion signals at threshold. Perception & Psychophysics. 65(8). 1188–1196. 80 indexed citations
20.
Moschytz, G.S. & Markus Hofbauer. (2000). Adaptive Filter. 9 indexed citations

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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