Patrick Kahl
Impact in
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- Numerical Methods and Algorithms
- Polynomial and algebraic computation
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- Probabilistic and Robust Engineering Design
Papers in
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- Logic, programming, and type systems 2
- Logic, Reasoning, and Knowledge 2
- Semantic Web and Ontologies 1
- Multi-Agent Systems and Negotiation 1
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- Health, Medicine and Society 1
- Aging, Elder Care, and Social Issues 1
- Co-authors
- Jǐŕı Rohn (1 shared paper)Владик Крейнович (1 shared paper)Michael Gelfond (1 shared paper)Yuanlin Zhang (1 shared paper)Tran Cao Son (1 shared paper)Richard Watson (1 shared paper)
- Journals
- Journal of Logic and Computation (1 paper)scholarworks - UTEP (The University of Texas at El Paso) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesRussiaCzechia
In The Last Decade
Patrick Kahl
4 papers receiving 156 citations
Peers
Comparison fields: 5 of 33
- Computational Theory and Mathematics 94
- Statistics, Probability and Uncertainty 23
- Numerical Analysis 14
- Statistics and Probability 18
- Artificial Intelligence 70
Countries citing papers authored by Patrick Kahl
This map shows the geographic impact of Patrick Kahl'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 Patrick Kahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Kahl more than expected).
Fields of papers citing papers by Patrick Kahl
This network shows the impact of papers produced by Patrick Kahl. 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 Patrick Kahl. The network helps show where Patrick Kahl may publish in the future.
Co-authors
The 6 scholars most cited alongside Patrick Kahl, 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 | 1998 | 134 | |
| 2 | 2015 | 16 | |
| 3 | 2017 | 10 | |
| 4 | Solving narrow-interval linear equation systems is NP-hard | 1996 | 1 |
About Patrick Kahl
Patrick Kahl is a scholar working on Artificial Intelligence, General Health Professions, Computational Theory and Mathematics, Philosophy and Infectious Diseases, having authored 4 papers that have together received 161 indexed citations. Recurring topics across this work include Logic, programming, and type systems (2 papers), Logic, Reasoning, and Knowledge (2 papers), Hermeneutics and Narrative Identity (1 paper), Health, Medicine and Society (1 paper), Numerical Methods and Algorithms (1 paper), Aging, Elder Care, and Social Issues (1 paper), Semantic Web and Ontologies (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Computational Theory and Mathematics (94 citations), Statistics, Probability and Uncertainty (23 citations), Numerical Analysis (14 citations), Statistics and Probability (18 citations) and Artificial Intelligence (70 citations). Patrick Kahl has collaborated with scholars based in United States, Russia and Czechia. Frequent co-authors include Jǐŕı Rohn, Владик Крейнович, Michael Gelfond, Yuanlin Zhang, Tran Cao Son and Richard Watson. Their work appears in journals such as Journal of Logic and Computation, scholarworks - UTEP (The University of Texas at El Paso) and CERN Document Server (European Organization for Nuclear 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.