Boris Flach
Impact in
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- Cell Adhesion Molecules Research
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- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Digital Image Processing Techniques 2
- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 1
- Co-authors
- Jochen Seebach (2 shared papers)Hans‐Joachim Schnittler (2 shared papers)Jiahui Cao (2 shared papers)Ralf H. Adams (1 shared paper)Eloi Montañez (1 shared paper)Sigrid März (1 shared paper)Mara E. Pitulescu (1 shared paper)Erez Raz (1 shared paper)
In The Last Decade
Boris Flach
9 papers receiving 201 citations
Peers
Comparison fields: 5 of 59
- Immunology and Allergy 25
- Cell Biology 64
- Computer Graphics and Computer-Aided Design 14
- Computer Vision and Pattern Recognition 55
- Biophysics 14
Countries citing papers authored by Boris Flach
This map shows the geographic impact of Boris Flach'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 Boris Flach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Flach more than expected).
Fields of papers citing papers by Boris Flach
This network shows the impact of papers produced by Boris Flach. 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 Boris Flach. The network helps show where Boris Flach may publish in the future.
Co-authors
The 19 scholars most cited alongside Boris Flach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 124 | |
| 2 | 2006 | 60 | |
| 3 | 2020 | 10 | |
| 4 | Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers | 2018 | 5 |
| 5 | Best Labeling Search for a Class of Higher Order Gibbs Models 1 | 2004 | 3 |
| 6 | 1995 | 2 | |
| 7 | 2014 | 1 | |
| 8 | 2008 | 1 | |
| 9 | 2011 | 1 | |
| 10 | 2006 | 1 | |
| 11 | 2013 | 0 |
About Boris Flach
Boris Flach is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 11 papers that have together received 208 indexed citations. Recurring topics across this work include Optimization and Packing Problems (2 papers), Digital Image Processing Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Optimization and Variational Analysis (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Computer Graphics and Visualization Techniques (1 paper), Computational Geometry and Mesh Generation (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Immunology and Allergy (25 citations), Cell Biology (64 citations), Computer Graphics and Computer-Aided Design (14 citations), Computer Vision and Pattern Recognition (55 citations) and Biophysics (14 citations). Boris Flach has collaborated with scholars based in Germany, Czechia and Canada. Frequent co-authors include Jochen Seebach, Hans‐Joachim Schnittler, Jiahui Cao, Ralf H. Adams, Eloi Montañez, Sigrid März, Mara E. Pitulescu, Erez Raz, Manuel Ehling and Katsiaryna Tarbashevich. Their work appears in journals such as Nature Communications, Infection and Immunity, Machine Vision and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.
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.