Felix Friedrich

19 papers receiving 187 citations

Peers

Felix Friedrich
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 90
  • Statistics and Probability 25
  • Computational Mechanics 23
  • Media Technology 23
  • Materials Chemistry 21
Replace Helmut Thiele with:
Helmut Thiele Germany
Priyanka Das India
J. Navarrete Spain
Min Sha Australia
Frank Schumacher Germany
Abdelkader Moumen Saudi Arabia
Han-Sheng Huang Taiwan
Khoa Lê United Kingdom
Hyun‐Jun Choi South Korea
Ze Yang China
Felix Friedrich relative to Helmut Thiele Germany Helmut Thiele's profile →
Citations per field
00.5×10×20×27×
Helmut Thiele · 1×
Citations per year

Countries citing papers authored by Felix Friedrich

Since Specialization
Citations

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

Fields of papers citing papers by Felix Friedrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Friedrich

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Friedrich. A scholar is included among the top collaborators of Felix Friedrich 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 Felix Friedrich. Felix Friedrich 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 0
2 13
3 20
4 4
5 0
6 8
7 1
8 3
9 1
10 46
11
A mathematical programming language extension for multilinear algebra
3
12 11
13 1
14
Complexity Penalized Segmentations in 2D
6
15 15
16 1
17
Bromine solution as a colour-producing reagent for some pharmaceutical compounds.
2
18 21
19 7
20 6

About Felix Friedrich

Felix Friedrich is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Music, having authored 23 papers that have together received 200 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Image and Signal Denoising Methods (3 papers) and Chemical Synthesis and Reactions (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Statistics and Probability (25 citations) and Media Technology (23 citations). Felix Friedrich has collaborated with scholars based in Germany, Switzerland and Taiwan. Frequent co-authors include Laurent Demaret, Gerhard Winkler, Volkmar Liebscher, Hartmut Führ, H. J. Becher, Helge Willner, Patrick Schramowski, Kristian Kersting, Kai Wicker and Antoine de Falguerolles. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Computational and Graphical Statistics and Nature 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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