Hans Heller
Impact in
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- Complexity and Algorithms in Graphs
- Computability, Logic, AI Algorithms
- semigroups and automata theory
- Formal Methods in Verification
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- Cryptography and Data Security
- Machine Learning and Algorithms
- Logic, Reasoning, and Knowledge
- Logic, programming, and type systems
Papers in
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- Computability, Logic, AI Algorithms 2
- semigroups and automata theory 2
- Complexity and Algorithms in Graphs 1
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- Coding theory and cryptography 2
- Logic, Reasoning, and Knowledge 1
- Journals
- SIAM Journal on Computing (1 paper)Theory of Computing Systems (1 paper)Journal of Ecology (1 paper)Cambridge University Press eBooks (1 paper)Information and Control (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Hans Heller
5 papers receiving 96 citations
Peers
Comparison fields: 5 of 27
- Computational Theory and Mathematics 96
- Artificial Intelligence 72
- Hardware and Architecture 3
- Statistics and Probability 3
- Discrete Mathematics and Combinatorics 1
Countries citing papers authored by Hans Heller
This map shows the geographic impact of Hans Heller'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 Heller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Heller more than expected).
Fields of papers citing papers by Hans Heller
This network shows the impact of papers produced by Hans Heller. 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 Heller. The network helps show where Hans Heller may publish in the future.
Co-authors
The 2 scholars most cited alongside Hans Heller, 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 | 1986 | 45 | |
| 2 | 1986 | 27 | |
| 3 | 1984 | 22 | |
| 4 | 1984 | 9 | |
| 5 | Subcellular organization and function in endocrine tissues : proceedings of a symposium held at the University of Bristol on 5 to 11 April 1970 | 1971 | 3 |
| 6 | 1963 | 1 |
About Hans Heller
Hans Heller is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology, Nature and Landscape Conservation and Insect Science, having authored 6 papers that have together received 107 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (2 papers), Coding theory and cryptography (2 papers), semigroups and automata theory (2 papers), Algebraic structures and combinatorial models (2 papers), Complexity and Algorithms in Graphs (1 paper), Forest Ecology and Biodiversity Studies (1 paper), Logic, Reasoning, and Knowledge (1 paper) and Ecology, Conservation, and Geographical Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (96 citations), Artificial Intelligence (72 citations), Hardware and Architecture (3 citations), Statistics and Probability (3 citations) and Discrete Mathematics and Combinatorics (1 citation). Hans Heller has collaborated with scholars based in Germany and United States. Frequent co-authors include Stathis Zachos and K. Lederis. Their work appears in journals such as SIAM Journal on Computing, Theory of Computing Systems, Journal of Ecology, Cambridge University Press eBooks and Information and Control.
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.