Gerald Sommer

111 papers receiving 2.2k citations

Hit Papers

The monogenic signal20012026200920172001100200300400500

Peers

Gerald Sommer
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 415
  • Applied Mathematics 290
  • Media Technology 276
  • Signal Processing 229
Replace Mladen Victor Wickerhauser with:
Mladen Victor Wickerhauser United States
Jalal Fadili France
Harold Szu United States
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Y.Y. Zeevi Israel
B.R. Hunt United States
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Citations per year

Countries citing papers authored by Gerald Sommer

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Sommer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Sommer

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Sommer. A scholar is included among the top collaborators of Gerald Sommer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerald Sommer. Gerald Sommer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 39
3 4
4 83
5 1
6
Proceedings of the 2nd international conference on Robot vision
1
7
Computer Algebra and Geometric Algebra with Applications: 6th International Workshop, IWMM 2004, Shanghai, China, May 19-21, 2004 and International Workshop, ... Papers (Lecture Notes in Computer Science)
1
8
Efficient reinforcement learning through Evolutionary Acquisition of Neural Topologies.
34
9 21
10
The hypersphere neuron.
1
11 24
12 43
13
"Schüsse ins Finstere" : zu Heimito von Doderers Kurzprosa
0
14 14
15
Rotated Wedge Averaging Method for Junction Classification
2
16
Verhaltensbasierter Entwurf technischer visueller Systeme.
2
17
Dynamic Cell Structures
21
18
Bivariate local signal representations
1
19 5
20 1

About Gerald Sommer

Gerald Sommer is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Applied Mathematics, having authored 119 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (18 papers), Neural Networks and Applications (13 papers) and Optical measurement and interference techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (276 citations) and Applied Mathematics (290 citations). Gerald Sommer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael Felsberg, Thomas Bülow, Jörg Brüske, Sven Buchholz, Volker Krüger, Kostas Daniilidis, Nils T. Siebel, Markus Michaelis, Eduardo Bayro–Corrochano and Weichuan Yu. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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