B. Michaelis

956 citations
67 papers · 784 · h-index 15

Impact in

Papers in

B. Michaelis

64 papers receiving 703 citations

Peers

B. Michaelis
Comparison fields: 5 of 112
  • Virology 117
  • Computer Vision and Pattern Recognition 343
  • Media Technology 91
  • Infectious Diseases 129
  • Human-Computer Interaction 42
Replace Lijun Zhao with:
Lijun Zhao China
Jochen Maydt Germany
Tianwei Lin China
Thomas Wittenberg Germany
A. Ravishankar Rao United States
Dmitrii Kaplun Russia
Xiangyun Liao China
Daniela Iacoviello Italy
B. Michaelis relative to Lijun Zhao China Lijun Zhao's profile →
Citations per field
00.5×2×3×4.4×
Lijun Zhao · 1×
Citations per year

Countries citing papers authored by B. Michaelis

Since Specialization
Citations

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

Fields of papers citing papers by B. Michaelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986199
2 201247
3 200237
4 197131
5 200228
6 200225
7 200225
8 200925
9 199824
10 200823
11 200720
12 200519
13 199817
14 200217
15 197315
16 200614
17 200914
18 199712
19 200311
20 201211

About B. Michaelis

B. Michaelis is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Artificial Intelligence, having authored 67 papers that have together received 784 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Neural dynamics and brain function (8 papers), Robotics and Sensor-Based Localization (7 papers), Video Surveillance and Tracking Methods (7 papers), Advanced Image Fusion Techniques (7 papers), Neural Networks and Applications (6 papers), Image Enhancement Techniques (6 papers) and Optical measurement and interference techniques (6 papers). The work is most often cited by research in Virology (117 citations), Computer Vision and Pattern Recognition (343 citations), Media Technology (91 citations), Infectious Diseases (129 citations) and Human-Computer Interaction (42 citations). B. Michaelis has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hamid R. Tizhoosh, Pedro Albrecht, Gerald Krell, Ayoub Al-Hamadi, JayA. Levy, R. A. Chaplain, Robert Niese, R. Coenen, Aly A. Farag and Heiko Neumann. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, International Journal of Medical Informatics, ISPRS Journal of Photogrammetry and Remote Sensing, Mathematical Biosciences and International Journal of Heat and Mass Transfer.

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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