Bernd Michaelis

1.4k citations
81 papers · 841 · h-index 17

Impact in

Papers in

Bernd Michaelis

78 papers receiving 761 citations

Peers

Bernd Michaelis
Comparison fields: 5 of 100
  • Human-Computer Interaction 333
  • Computer Vision and Pattern Recognition 507
  • Cognitive Neuroscience 132
  • Biophysics 35
  • Media Technology 51
Replace Jaime Lien with:
Jaime Lien United States
Yichen Wei China
Thierry Viéville France
Ido Leichter Israel
Stanley Bileschi United States
Iason Oikonomidis Greece
M. J. E. Salami Malaysia
Simone Frintrop Germany
Silvio P. Sabatini Italy
Christoph Zetzsche Germany
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Citations per year

Countries citing papers authored by Bernd Michaelis

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Michaelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200856
2
Real-Time Capable System for Hand Gesture Recognition Using Hidden Markov Models in Stereo Color Image Sequences.
200853
3 200944
4 200740
5 201032
6 200732
7 201027
8
Towards Pain Recognition in Post-Operative Phases Using 3D-based Features From Video and Support Vector Machines.
200924
9 200724
10 200723
11 201120
12 200920
13 200920
14 200920
15 200817
16 201217
17 200916
18 199715
19 201115
20 201015

About Bernd Michaelis

Bernd Michaelis is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Cognitive Neuroscience and Biomedical Engineering, having authored 81 papers that have together received 841 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (20 papers), Hand Gesture Recognition Systems (18 papers), Video Surveillance and Tracking Methods (13 papers), Neural dynamics and brain function (11 papers), Face and Expression Recognition (10 papers), Anomaly Detection Techniques and Applications (10 papers), Face recognition and analysis (9 papers) and Gait Recognition and Analysis (8 papers). The work is most often cited by research in Human-Computer Interaction (333 citations), Computer Vision and Pattern Recognition (507 citations), Cognitive Neuroscience (132 citations), Biophysics (35 citations) and Media Technology (51 citations). Bernd Michaelis has collaborated with scholars based in Germany, Egypt and United States. Frequent co-authors include Ayoub Al-Hamadi, Mahmoud Elmezain, Samy Sadek, Usama Sayed, Robert Niese, Andreas Herzog, Gerald Krell, Thomas Voigt, Ana D. de Lima and Omer Rashid. Their work appears in journals such as Neurocomputing, Journal of Multimedia, Developmental Neurobiology, Information Sciences and Journal of Intelligent Material Systems and Structures.

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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