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
- Bioinformatics and Genomic Networks
Papers in
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Gene Regulatory Network Analysis 2
- Sphingolipid Metabolism and Signaling 1
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- Data Visualization and Analytics 5
- Co-authors
- Michel A. Westenberg (6 shared papers)Hendrik Strobelt (3 shared papers)Hanspeter Pfister (3 shared papers)Jacob M. Luber (1 shared paper)Soohyun Lee (1 shared paper)Nils Gehlenborg (1 shared paper)B. Alver (1 shared paper)Nezar Abdennur (1 shared paper)
- Journals
- Computer Graphics Forum (3 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Bioinformatics (1 paper)BMC Bioinformatics (1 paper)Genome biology (1 paper)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Kasper Dinkla
11 papers receiving 415 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 108
- Molecular Biology 264
- Biophysics 18
- Statistical and Nonlinear Physics 38
- Signal Processing 27
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 | 292 | |
| 2 | 2012 | 45 | |
| 3 | 2012 | 39 | |
| 4 | 2023 | 13 | |
| 5 | 2014 | 12 | |
| 6 | 2016 | 7 | |
| 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 Molecular Biology, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Biophysics, having authored 11 papers that have together received 425 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Bioinformatics and Genomic Networks (4 papers), Complex Network Analysis Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Gene expression and cancer classification (2 papers), Gene Regulatory Network Analysis (2 papers), interferon and immune responses (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Molecular Biology (264 citations), Biophysics (18 citations), Statistical and Nonlinear Physics (38 citations) and Signal Processing (27 citations). Kasper Dinkla has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Michel A. Westenberg, Hendrik Strobelt, Hanspeter Pfister, Jacob M. Luber, Soohyun Lee, Nils Gehlenborg, B. Alver, Nezar Abdennur, Peter J. Park and Nikhil Kumar. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Bioinformatics, BMC Bioinformatics and Genome biology.
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.