Babette Dellen

47 papers receiving 799 citations

Peers

Babette Dellen
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 406
  • Instrumentation 33
  • Human-Computer Interaction 45
  • Control and Systems Engineering 157
  • Environmental Engineering 95
Replace Supreeth Achar with:
Supreeth Achar United States
Sergi Foix Spain
Abdelaziz Bensrhair France
Martin Herman United States
Henry Medeiros United States
Christopher Rasmussen United States
Yuning Chai United States
Alwin Poulose South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Babette Dellen

Since Specialization
Citations

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

Fields of papers citing papers by Babette Dellen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011136
2 201175
3 201059
4 201355
5 200646
6 201245
7 201440
8 201539
9 201638
10 201029
11 201428
12 201626
13 201718
14 201216
15 201415
16 201114
17 201113
18 200912
19
Volume measurement with a consumer depth camera based on structured infrared light
201311
20
3d semantic representation of actions from effcient stereo-image-sequence segmentation on GPUs
201010

About Babette Dellen

Babette Dellen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Aerospace Engineering and Environmental Engineering, having authored 49 papers that have together received 836 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Neural dynamics and brain function (6 papers), Remote Sensing and LiDAR Applications (5 papers), Smart Agriculture and AI (5 papers), Visual perception and processing mechanisms (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (406 citations), Instrumentation (33 citations), Human-Computer Interaction (45 citations), Control and Systems Engineering (157 citations) and Environmental Engineering (95 citations). Babette Dellen has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Carme Torras, Alexey Abramov, Florentin Wörgötter, Guillem Alenyà, Eren Erdal Aksoy, KeJun Ning, Sergi Foix, Hanno Scharr, Ralf Weßel and Karl Pauwels. Their work appears in journals such as IEEE Robotics and Automation Letters, International Journal of Computer Vision, Journal of Computational Neuroscience, Physical Review Letters and IEEE Transactions on Circuits and Systems for Video Technology.

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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