Stefan Posch

124 papers receiving 1.3k citations

Peers

Stefan Posch
Comparison fields: 5 of 140
  • Fluid Flow and Transfer Processes 84
  • Biophysics 59
  • Energy Engineering and Power Technology 30
  • Molecular Biology 561
  • Computer Vision and Pattern Recognition 134
Replace Seunghyun Park with:
Seunghyun Park South Korea
Jimmy Li Australia
Wencheng Wang China
Jingxuan Liu China
Ru Nie China
Ranadip Pal United States
Toshinori Watanabe Japan
Márcio Dorn Brazil
Layne T. Watson United States
Yuqian Guo China
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Citations per field
00.5×9.8×
Seunghyun Park · 1×
Citations per year

Countries citing papers authored by Stefan Posch

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Posch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005128
2 201382
3 201975
4 201373
5 201967
6 201556
7 201146
8
Jstacs: a java framework for statistical analysis and classification of biological sequences
201238
9 202238
10 202335
11 201334
12 201230
13 201624
14 202122
15 201420
16 202319
17 202418
18 201917
19 199817
20 202215

About Stefan Posch

Stefan Posch is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Mechanical Engineering, Artificial Intelligence and Biophysics, having authored 134 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Cell Image Analysis Techniques (14 papers), Genomics and Chromatin Dynamics (14 papers), Refrigeration and Air Conditioning Technologies (14 papers), Advanced Vision and Imaging (13 papers), Advanced Combustion Engine Technologies (10 papers), Image Retrieval and Classification Techniques (9 papers) and Heat Transfer and Optimization (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (84 citations), Biophysics (59 citations), Energy Engineering and Power Technology (30 citations), Molecular Biology (561 citations) and Computer Vision and Pattern Recognition (134 citations). Stefan Posch has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Jan Grau, Jens Keilwagen, Ivo Große, Birgit Möller, Jens Boch, Andreas Wimmer, André Gohr, Gerhard Pirker, Gerhard Sagerer and Steffen Neumann. Their work appears in journals such as BMC Bioinformatics, SAE technical papers on CD-ROM/SAE technical paper series, PLoS Computational Biology, Journal of Bioinformatics and Computational Biology and Nucleic Acids Research.

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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