Uwe Handmann

992 citations
72 papers · 718 · h-index 13

Impact in

    • Hand Gesture Recognition Systems
    • Gaze Tracking and Assistive Technology
    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Advanced Neural Network Applications
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques

Papers in

Uwe Handmann

65 papers receiving 675 citations

Peers

Uwe Handmann
Comparison fields: 5 of 98
  • Human-Computer Interaction 155
  • Computer Vision and Pattern Recognition 386
  • Automotive Engineering 153
  • Media Technology 61
  • Industrial and Manufacturing Engineering 34
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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 23 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000161
2 201871
3 202243
4 200436
5 199834
6 201823
7 200219
8
FUSION OF DIFFERENT SENSORS AND ALGORITHMS FOR SEGMENTATION
199819
9 201719
10 201518
11 201716
12
Evolutionary Optimization of Neural Networks for Face Detection
200415
13 202014
14 201912
15 201110
16 201110
17 20219
18 20029
19 20129
20 20188

About Uwe Handmann

Uwe Handmann is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Automotive Engineering and Control and Systems Engineering, having authored 72 papers that have together received 718 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (11 papers), Hand Gesture Recognition Systems (11 papers), Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Face and Expression Recognition (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Human-Computer Interaction (155 citations), Computer Vision and Pattern Recognition (386 citations), Automotive Engineering (153 citations), Media Technology (61 citations) and Industrial and Manufacturing Engineering (34 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, Christian Igel, Alexander Gepperth, Stefan Geisler, Sabrina C. Eimler, Marc Jansen and Cristóbal Curio. Their work appears in journals such as Springer tracts in advanced robotics, Business & Information Systems Engineering, Lecture notes in computer science, Sensors and Image and Vision Computing.

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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