Mark Herbster
Impact in
- Artificial Intelligence top 2%
- Quantum Computing Algorithms and Architecture
- Machine Learning and Algorithms
- Quantum Information and Cryptography
- Advanced Graph Neural Networks
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- Advanced Bandit Algorithms Research
Papers in ⓘ
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- Machine Learning and Algorithms 12
- Quantum Computing Algorithms and Architecture 3
- Neural Networks and Applications 2
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- Optimization and Search Problems 9
- IoT and Edge/Fog Computing 2
- Co-authors
- Manfred K. Warmuth (4 shared papers)Massimiliano Pontil (7 shared papers)Simone Severini (2 shared papers)Carlo Ciliberto (1 shared paper)Andrea Rocchetto (1 shared paper)Leonard Wossnig (1 shared paper)Shiqiang Wang (2 shared papers)Ting He (1 shared paper)
- Journals
- Machine Learning (2 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Translational Psychiatry (1 paper)The Lancet (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Mark Herbster
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 688
- Management Science and Operations Research 196
- Computer Networks and Communications 291
- Computational Theory and Mathematics 125
- Statistical and Nonlinear Physics 78
Countries citing papers authored by Mark Herbster
This map shows the geographic impact of Mark Herbster'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 Mark Herbster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Herbster more than expected).
Fields of papers citing papers by Mark Herbster
This network shows the impact of papers produced by Mark Herbster. 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 Mark Herbster. The network helps show where Mark Herbster may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Herbster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 279 | |
| 2 | 1998 | 272 | |
| 3 | 2006 | 215 | |
| 4 | 2019 | 127 | |
| 5 | Combining Graph Laplacians for Semi--Supervised Learning | 2005 | 90 |
| 6 | Exponentially many local minima for single neurons | 1995 | 58 |
| 7 | 2005 | 58 | |
| 8 | 2016 | 35 | |
| 9 | 1998 | 24 | |
| 10 | Predicting the Labelling of a Graph via Minimum $p$-Seminorm Interpolation. | 2009 | 23 |
| 11 | Fast Prediction on a Tree | 2008 | 21 |
| 12 | RNA modeling using Gibbs sampling and stochastic context free grammars. | 1994 | 19 |
| 13 | Online Prediction on Large Diameter Graphs | 2008 | 18 |
| 14 | 2018 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2013 | 5 | |
| 18 | Mistake Bounds for Binary Matrix Completion | 2016 | 3 |
| 19 | 2022 | 3 | |
| 20 | Predicting a switching sequence of graph labelings | 2015 | 2 |
About Mark Herbster
Mark Herbster is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Molecular Biology and Computational Theory and Mathematics, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (12 papers), Optimization and Search Problems (9 papers), Advanced Bandit Algorithms Research (7 papers), Quantum Computing Algorithms and Architecture (3 papers), Neural Networks and Applications (2 papers), Epigenetics and DNA Methylation (2 papers), Control Systems and Identification (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Artificial Intelligence (688 citations), Management Science and Operations Research (196 citations), Computer Networks and Communications (291 citations), Computational Theory and Mathematics (125 citations) and Statistical and Nonlinear Physics (78 citations). Mark Herbster has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Manfred K. Warmuth, Massimiliano Pontil, Simone Severini, Carlo Ciliberto, Andrea Rocchetto, Leonard Wossnig, Shiqiang Wang, Ting He, Andreas A. Argyriou and Peter Auer. Their work appears in journals such as Machine Learning, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Translational Psychiatry, The Lancet and Journal of Machine Learning Research.
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.