Bernd Radig

1.4k citations
58 papers · 622 · h-index 14

Impact in

Papers in

Bernd Radig

52 papers receiving 593 citations

Peers

Bernd Radig
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 345
  • Experimental and Cognitive Psychology 170
  • Signal Processing 99
  • Human-Computer Interaction 35
  • Artificial Intelligence 194
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Matthew Shreve United States
Julio C. S. Jacques Brazil
Oswald Lanz Italy
Abdulhameed Alelaiwi Saudi Arabia
Yanhao Zhang China
Aytül Erçi̇l Türkiye
Haimin Zhang Australia
Kishore Konda Germany
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Citations per field
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Citations per year

Countries citing papers authored by Bernd Radig

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Radig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200275
2 200764
3 201157
4 200840
5 201438
6 198429
7
Facial Expression Recognition with Recurrent Neural Networks
200828
8 200926
9 200822
10 201116
11 201014
12 200614
13 200613
14 201413
15 200212
16
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
200111
17 200811
18 201110
19
Adaptive Skin Color Classificator
20059
20 20049

About Bernd Radig

Bernd Radig is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology and Social Psychology, having authored 58 papers that have together received 622 indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Face recognition and analysis (10 papers), Advanced Image and Video Retrieval Techniques (8 papers), Emotion and Mood Recognition (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Vision and Imaging (5 papers) and Advanced Optical Sensing Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (345 citations), Experimental and Cognitive Psychology (170 citations), Signal Processing (99 citations), Human-Computer Interaction (35 citations) and Artificial Intelligence (194 citations). Bernd Radig has collaborated with scholars based in Germany, Pakistan and France. Frequent co-authors include Matthias Wimmer, Christoph Mayer, Michael Beetz, Dejan Arsić, Björn W. Schuller, Gerhard Rigoll, Sebastian Buck, Robert Hanek, Thorsten Schmitt and Stefan Sosnowski. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Robotics and Automation, Pattern Recognition and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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