Kasper Dinkla
Impact in
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- Data Visualization and Analytics
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- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Data Visualization and Analytics 5
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- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Gene Regulatory Network Analysis 2
- Co-authors
- Michel A. Westenberg (6 shared papers)Hanspeter Pfister (3 shared papers)Hendrik Strobelt (3 shared papers)B. Alver (1 shared paper)Soohyun Lee (1 shared paper)Nils Gehlenborg (1 shared paper)Jacob M. Luber (1 shared paper)Nezar Abdennur (1 shared paper)
- Journals
- Computer Graphics Forum (3 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Science Signaling (1 paper)Bioinformatics (1 paper)Tsinghua Science & Technology (1 paper)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Kasper Dinkla
11 papers receiving 438 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 108
- Molecular Biology 256
- Statistical and Nonlinear Physics 37
- Biophysics 16
- Signal Processing 28
Countries citing papers authored by Kasper Dinkla
This map shows the geographic impact of Kasper Dinkla'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 Kasper Dinkla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kasper Dinkla more than expected).
Fields of papers citing papers by Kasper Dinkla
This network shows the impact of papers produced by Kasper Dinkla. 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 Kasper Dinkla. The network helps show where Kasper Dinkla may publish in the future.
Co-authors
The 25 scholars most cited alongside Kasper Dinkla, 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 | 2018 | 309 | |
| 2 | 2012 | 46 | |
| 3 | 2012 | 41 | |
| 4 | 2023 | 14 | |
| 5 | 2014 | 13 | |
| 6 | 2016 | 9 | |
| 7 | 2011 | 7 | |
| 8 | 2018 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2015 | 2 | |
| 11 | 2012 | 1 |
About Kasper Dinkla
Kasper Dinkla is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Statistical and Nonlinear Physics, Biophysics and Information Systems, having authored 11 papers that have together received 449 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Complex Network Analysis Techniques (2 papers), Gene Regulatory Network Analysis (2 papers), Cell Image Analysis Techniques (2 papers), Image Processing Techniques and Applications (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Molecular Biology (256 citations), Statistical and Nonlinear Physics (37 citations), Biophysics (16 citations) and Signal Processing (28 citations). Kasper Dinkla has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Michel A. Westenberg, Hanspeter Pfister, Hendrik Strobelt, B. Alver, Soohyun Lee, Nils Gehlenborg, Jacob M. Luber, Nezar Abdennur, Chuck McCallum and Nikhil Kumar. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Science Signaling, Bioinformatics and Tsinghua Science & Technology.
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.