Volkmar Frinken

2.0k citations
36 papers · 1.1k indexed · h-index 18
Topics
Handwritten Text Recognition Techniques (27 papers)Natural Language Processing Techniques (22 papers)Image Processing and 3D Reconstruction (10 papers)
Partner nations
SwitzerlandJapanSpain

In The Last Decade

Volkmar Frinken

34 papers receiving 1.1k citations

Peers

Volkmar Frinken
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 972
  • Artificial Intelligence 557
  • Signal Processing 132
  • Media Technology 109
  • Human-Computer Interaction 49
Replace T.M. Rath with:
T.M. Rath United States
Marçal Rusiñol Spain
Christian Viard-Gaudin France
G. Raju India
Jianshu Zhang China
Neeta Nain India
Anjan Dutta Spain
Satoshi Naoi Japan
Jon Almazán Spain
Gabriel Takacs United States
Volkmar Frinken relative to T.M. Rath United States T.M. Rath's profile →
Citations per field
00.5×3.9×
T.M. Rath · 1×
Citations per year

Countries citing papers authored by Volkmar Frinken

Since Specialization
Citations

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

Fields of papers citing papers by Volkmar Frinken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volkmar Frinken

This figure shows the co-authorship network connecting the top 25 collaborators of Volkmar Frinken. A scholar is included among the top collaborators of Volkmar Frinken 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 Volkmar Frinken. Volkmar Frinken 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 7
2 23
3 11
4 72
5 2
6 0
7 8
8 23
9 8
10 25
11 42
12 27
13 63
14 182
15 177
16 15
17 15
18 71
19 16
20 52

About Volkmar Frinken

Volkmar Frinken is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (27 papers), Natural Language Processing Techniques (22 papers) and Image Processing and 3D Reconstruction (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (972 citations), Artificial Intelligence (557 citations) and Media Technology (109 citations). Volkmar Frinken has collaborated with scholars based in Switzerland, Japan and Spain. Frequent co-authors include Horst Bunke, Andreas Fischer, Andreas Keller, R. Manmatha, Seiichi Uchida, Alícia Fornés, Brian Kenji Iwana, Ching Y. Suen, Kaspar Riesen and Verónica Romero. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

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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