Uwe Handmann

70 papers receiving 727 citations

Peers

Uwe Handmann
Comparison fields: 5 of 68
  • Human-Computer Interaction 163
  • Automotive Engineering 174
  • Computer Vision and Pattern Recognition 241
  • Waste Management and Disposal 51
  • Artificial Intelligence 105
Replace Bruno Fernandes with:
Bruno Fernandes Brazil
Yoshio Ishiguro Japan
Anouar Ben Khalifa Tunisia
Myung-Geun Chun South Korea
Marta Marrón-Romera Spain
Frédéric Lerasle France
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Wende Zhang United States
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Citations per field
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Citations per year

Countries citing papers authored by Uwe Handmann

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Handmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Uwe Handmann, 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 Uwe Handmann Line = papers co-authored together Uwe Handmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000158
2 201875
3 202247
4 200436
5 199834
6 201826
7
FUSION OF DIFFERENT SENSORS AND ALGORITHMS FOR SEGMENTATION
199819
8 200219
9 201519
10 201719
11 201718
12
Evolutionary Optimization of Neural Networks for Face Detection
200415
13 201913
14 202013
15 201110
16 201110
17 201410
18 201510
19 20029
20 20129

About Uwe Handmann

Uwe Handmann is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Automotive Engineering, Waste Management and Disposal and Artificial Intelligence, having authored 79 papers that have together received 770 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (15 papers), Autonomous Vehicle Technology and Safety (13 papers), Advanced Neural Network Applications (11 papers), Emotion and Mood Recognition (6 papers), Recycling and Waste Management Techniques (5 papers), Face recognition and analysis (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Human-Computer Interaction (163 citations), Automotive Engineering (174 citations), Computer Vision and Pattern Recognition (241 citations), Waste Management and Disposal (51 citations) and Artificial Intelligence (105 citations). Uwe Handmann has collaborated with scholars based in Germany, France and United Arab Emirates. Frequent co-authors include W. von Seelen, Thomas Kalinke, Christos Tzomakas, Martin Werner, Alexander Gepperth, Christian Igel, Stefan Geisler, Sabrina Cornelia Eimler, Marc Jansen and Cristóbal Curio. Their work appears in journals such as Springer tracts in advanced robotics, Image and Vision Computing, Business & Information Systems Engineering, Scientific Reports and Lecture notes in computer science.

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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