H. Stärk
- Algebra and Number Theory top 2%
- Analytic Number Theory Research 19
- Geometry and Topology top 0.5%
- Algebraic Geometry and Number Theory 11
- Graph theory and applications 8
- Theoretical Computer Science top 2%
- Mathematical Physics top 2%
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- Medical Imaging Techniques and Applications 19
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- Image and Signal Denoising Methods 11
- Medical Image Segmentation Techniques 9
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- Coding theory and cryptography 9
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- Sparse and Compressive Sensing Techniques 8
- Co-authors
- Audrey TerrasM. Ibrahim SezanTommi JaakkolaRegina BarzilayJ. WoodsR. HingoraniGabriele CorsoStefanie Jegelka
- Journals
- IEEE Transactions on Medical Imaging (7 papers)Advances in Mathematics (6 papers)Journal of Number Theory (5 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
H. Stärk
106 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Algebra and Number Theory 458
- Geometry and Topology 697
- Discrete Mathematics and Combinatorics 184
- Theoretical Computer Science 47
- Mathematical Physics 371
Countries citing papers authored by H. Stärk
This map shows the geographic impact of H. Stärk'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 H. Stärk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Stärk more than expected).
Fields of papers citing papers by H. Stärk
This network shows the impact of papers produced by H. Stärk. 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 H. Stärk. The network helps show where H. Stärk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. Stärk, 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 | 2025 | 3 | |
| 2 | Equivariant 3D-conditional diffusion model for molecular linker designbreakdown → | 2024 | 70 |
| 3 | 2024 | 26 | |
| 4 | 2022 | 1 | |
| 5 | Benchmarking | 2022 | 148 |
| 6 | 2022 | 51 | |
| 7 | 2021 | 70 | |
| 8 | 2006 | 116 | |
| 9 | 2003 | 3 | |
| 10 | 2002 | 3 | |
| 11 | 2000 | 36 | |
| 12 | 1996 | 156 | |
| 13 | 1992 | 6 | |
| 14 | 1989 | 18 | |
| 15 | 1988 | 62 | |
| 16 | 1976 | 33 | |
| 17 | 1975 | 38 | |
| 18 | 1971 | 35 | |
| 19 | 1969 | 27 | |
| 20 | 1969 | 9 |
About H. Stärk
H. Stärk is a scholar working on Theoretical Computer Science, Algebra and Number Theory and Geometry and Topology, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (19 papers), Analytic Number Theory Research (19 papers), Image and Signal Denoising Methods (11 papers), Algebraic Geometry and Number Theory (11 papers), Coding theory and cryptography (9 papers), Medical Image Segmentation Techniques (9 papers), Sparse and Compressive Sensing Techniques (8 papers) and Graph theory and applications (8 papers). The work is most often cited by research in Algebra and Number Theory (458 citations), Geometry and Topology (697 citations) and Discrete Mathematics and Combinatorics (184 citations). H. Stärk has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Audrey Terras, M. Ibrahim Sezan, Tommi Jaakkola, Regina Barzilay, J. Woods, R. Hingorani, Gabriele Corso, Stefanie Jegelka, Felix Wong and Abigail L. Manson. Their work appears in journals such as IEEE Transactions on Medical Imaging, Advances in Mathematics, Journal of Number Theory, Proceedings of the IEEE and Journal of the Optical Society of America A.
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.