Sebastian Mika
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Materials Chemistry
- Co-authors
- Klaus‐Robert MüllerBernhard SchölkopfGunnar RätschAlex SmolaMatthias ScholzJihun HamDaniel D. LeeNikolaus Heinrich
- Topics
- Computational Drug Discovery Methods (9 papers)Analytical Chemistry and Chromatography (6 papers)Face and Expression Recognition (5 papers)
- Cited by
- Computational Theory and MathematicsComputer Vision and Pattern RecognitionComputational Mathematics
- Journals
- Journal of Chemical Information and ModelingMolecular PharmaceuticsJournal of Computer-Aided Molecular Design
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Sebastian Mika
18 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 634
- Computational Theory and Mathematics 504
- Artificial Intelligence 454
- Molecular Biology 323
- Materials Chemistry 193
Countries citing papers authored by Sebastian Mika
This map shows the geographic impact of Sebastian Mika'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 Sebastian Mika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Mika more than expected).
Fields of papers citing papers by Sebastian Mika
This network shows the impact of papers produced by Sebastian Mika. 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 Sebastian Mika. The network helps show where Sebastian Mika may publish in the future.
Co-authorship network of co-authors of Sebastian Mika
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Mika. A scholar is included among the top collaborators of Sebastian Mika 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 Sebastian Mika. Sebastian Mika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 257 | |
| 3 | 22 | |
| 4 | 28 | |
| 5 | 22 | |
| 6 | 51 | |
| 7 | 35 | |
| 8 | 23 | |
| 9 | 56 | |
| 10 | 65 | |
| 11 | 305 | |
| 12 | Adapting Codes and Embeddings for Polychotomies | 21 |
| 13 | Barrier Boosting | 25 |
| 14 | A Mathematical Programming Approach to the Kernel Fisher Algorithm | 116 |
| 15 | Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. | 3 |
| 16 | Invariant Feature Extraction and Classification in Kernel Spaces | 117 |
| 17 | v-Arc: Ensemble Learning in the Presence of Outliers | 8 |
| 18 | Kernel PCA and De-Noising in Feature Spacesbreakdown → | 535 |
About Sebastian Mika
Sebastian Mika is a scholar working on Computational Theory and Mathematics, Spectroscopy and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Analytical Chemistry and Chromatography (6 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Computational Theory and Mathematics (504 citations), Computer Vision and Pattern Recognition (634 citations) and Computational Mathematics (10 citations). Sebastian Mika has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Klaus‐Robert Müller, Bernhard Schölkopf, Gunnar Rätsch, Alex Smola, Matthias Scholz, Jihun Ham, Daniel D. Lee, Nikolaus Heinrich, Timon Schroeter and Antonius ter Laak. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Pharmaceutics and Journal of Computer-Aided Molecular Design.
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.