Hans Ulrich Simon
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Gábor LugosiBernd BeckerMatthias KrauseThomas HofmeisterPaul FischerSandra ZillesAchim BachemJürgen Forster
- Topics
- Machine Learning and Algorithms (52 papers)Algorithms and Data Compression (24 papers)Machine Learning and Data Classification (15 papers)
In The Last Decade
Hans Ulrich Simon
69 papers receiving 949 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 620
- Computational Theory and Mathematics 275
- Computer Vision and Pattern Recognition 216
- Computer Networks and Communications 215
- Electrical and Electronic Engineering 99
Countries citing papers authored by Hans Ulrich Simon
This map shows the geographic impact of Hans Ulrich Simon'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 Hans Ulrich Simon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Ulrich Simon more than expected).
Fields of papers citing papers by Hans Ulrich Simon
This network shows the impact of papers produced by Hans Ulrich Simon. 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 Hans Ulrich Simon. The network helps show where Hans Ulrich Simon may publish in the future.
Co-authorship network of co-authors of Hans Ulrich Simon
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Ulrich Simon. A scholar is included among the top collaborators of Hans Ulrich Simon 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 Hans Ulrich Simon. Hans Ulrich Simon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Preference-based Teaching of Unions of Geometric Objects. | 0 |
| 2 | 1 | |
| 3 | Open Problem: Recursive Teaching Dimension Versus VC Dimension | 6 |
| 4 | An Almost Optimal PAC Algorithm | 5 |
| 5 | 22 | |
| 6 | PAC-Learning in the Presence of One-sided Classification Noise. | 2 |
| 7 | A Close Look to Margin Complexity and Related Parameters | 1 |
| 8 | SVM-Optimization and Steepest-Descent Line Search. | 20 |
| 9 | 12 | |
| 10 | 5 | |
| 11 | Inner Product Spaces for Bayesian Networks | 6 |
| 12 | Das Tagebuch 1880-1937 | 2 |
| 13 | Efficient Learning of Linear Perceptrons | 13 |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | Classes of X-functions Reducing Pattern Matching on Nets to Pattern Matching on Forests of Binary Trees. | 1 |
| 19 | Word problems for groups and contextfree recognition. | 10 |
| 20 | Die Körperkultur in Deutschland von 1917 bis 1945 | 5 |
About Hans Ulrich Simon
Hans Ulrich Simon is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (52 papers), Algorithms and Data Compression (24 papers) and Machine Learning and Data Classification (15 papers). The work is most often cited by research in Artificial Intelligence (620 citations), Computational Theory and Mathematics (275 citations) and Computer Vision and Pattern Recognition (216 citations). Hans Ulrich Simon has collaborated with scholars based in Germany, Canada and Israel. Frequent co-authors include Gábor Lugosi, Bernd Becker, Matthias Krause, Thomas Hofmeister, Paul Fischer, Sandra Zilles, Achim Bachem, Jürgen Forster, Shai Ben-David and Jeffrey C. Jackson. Their work appears in journals such as European Journal of Operational Research, Journal of the ACM and Machine Learning.
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.