Peter Kirschenhofer
- Artificial Intelligence top 5%
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 2%
- Discrete Mathematics and Combinatorics top 5%
- Algebra and Number Theory top 10%
- Co-authors
- Helmut ProdingerRobert F. TichyWojciech SzpankowskiPeter J. GrabnerPhilippe FlajoletConrado Martı́nezJörg Μ. ThuswaldnerÁkos Pintér
- Topics
- Advanced Combinatorial Mathematics (15 papers)Algorithms and Data Compression (15 papers)Mathematical Dynamics and Fractals (14 papers)
- Journals
- SIAM Journal on ComputingJournal of Computational and Applied MathematicsTheoretical Computer Science
- Partner nations
- AustriaUnited StatesFrance
In The Last Decade
Peter Kirschenhofer
54 papers receiving 600 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 316
- Mathematical Physics 221
- Computational Theory and Mathematics 198
- Discrete Mathematics and Combinatorics 160
- Algebra and Number Theory 160
Countries citing papers authored by Peter Kirschenhofer
This map shows the geographic impact of Peter Kirschenhofer'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 Peter Kirschenhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kirschenhofer more than expected).
Fields of papers citing papers by Peter Kirschenhofer
This network shows the impact of papers produced by Peter Kirschenhofer. 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 Peter Kirschenhofer. The network helps show where Peter Kirschenhofer may publish in the future.
Co-authorship network of co-authors of Peter Kirschenhofer
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kirschenhofer. A scholar is included among the top collaborators of Peter Kirschenhofer 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 Peter Kirschenhofer. Peter Kirschenhofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 31 | |
| 4 | 24 | |
| 5 | 42 | |
| 6 | 18 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 79 | |
| 10 | 1 | |
| 11 | A coin tossing algorithm for counting large numbers of events | 1 |
| 12 | 36 | |
| 13 | 26 | |
| 14 | Do We Really Need to Balance Patricia Trees? (Extended Abstract) | 1 |
| 15 | 16 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 0 |
About Peter Kirschenhofer
Peter Kirschenhofer is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Mathematical Physics, having authored 58 papers that have together received 683 indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (15 papers), Algorithms and Data Compression (15 papers) and Mathematical Dynamics and Fractals (14 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (160 citations), Algebra and Number Theory (160 citations) and Mathematical Physics (221 citations). Peter Kirschenhofer has collaborated with scholars based in Austria, United States and France. Frequent co-authors include Helmut Prodinger, Robert F. Tichy, Wojciech Szpankowski, Peter J. Grabner, Philippe Flajolet, Conrado Martı́nez, Jörg Μ. Thuswaldner, Ákos Pintér, Andrzej Schinzel and Michael Drmota. Their work appears in journals such as SIAM Journal on Computing, Journal of Computational and Applied Mathematics and Theoretical Computer Science.
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.