Emil Keyder
Impact in
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- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
- Machine Learning and Algorithms
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- Constraint Satisfaction and Optimization
Papers in
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- AI-based Problem Solving and Planning 7
- Logic, Reasoning, and Knowledge 4
- Machine Learning and Algorithms 1
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- Constraint Satisfaction and Optimization 4
- Co-authors
- Patrik Haslum (2 shared papers)Jörg Hoffmann (1 shared paper)Héctor Geffner (1 shared paper)Michael B. Katz (1 shared paper)Michael Katz (2 shared papers)Florian Pommerening (1 shared paper)Scott T. Michalski (1 shared paper)Malte Helmert (1 shared paper)
- Journals
- JCO Precision Oncology (1 paper)Journal of Artificial Intelligence Research (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Emil Keyder
10 papers receiving 88 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 68
- Computer Networks and Communications 27
- Computational Theory and Mathematics 16
- Computer Vision and Pattern Recognition 18
- Signal Processing 7
Countries citing papers authored by Emil Keyder
This map shows the geographic impact of Emil Keyder'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 Emil Keyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emil Keyder more than expected).
Fields of papers citing papers by Emil Keyder
This network shows the impact of papers produced by Emil Keyder. 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 Emil Keyder. The network helps show where Emil Keyder may publish in the future.
Co-authors
The 25 scholars most cited alongside Emil Keyder, 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 | 2014 | 30 | |
| 2 | 2023 | 15 | |
| 3 | Trees of shortest paths vs. Steiner trees: understanding and improving delete relaxation heuristics | 2009 | 12 |
| 4 | 2011 | 11 | |
| 5 | Structural Patterns Beyond Forks: Extending the Complexity Boundaries of Classical Planning | 2012 | 6 |
| 6 | 2017 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 1 |
About Emil Keyder
Emil Keyder is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 10 papers that have together received 93 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (7 papers), Logic, Reasoning, and Knowledge (4 papers), Constraint Satisfaction and Optimization (4 papers), Formal Methods in Verification (2 papers), Video Coding and Compression Technologies (1 paper), BRCA gene mutations in cancer (1 paper), Machine Learning and Algorithms (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Artificial Intelligence (68 citations), Computer Networks and Communications (27 citations), Computational Theory and Mathematics (16 citations), Computer Vision and Pattern Recognition (18 citations) and Signal Processing (7 citations). Emil Keyder has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Patrik Haslum, Jörg Hoffmann, Héctor Geffner, Michael B. Katz, Michael Katz, Michael B. Katz, Florian Pommerening, Scott T. Michalski, Malte Helmert and Brandie Heald. Their work appears in journals such as JCO Precision Oncology, Journal of Artificial Intelligence Research, Proceedings of the AAAI Conference on Artificial Intelligence, HAL (Le Centre pour la Communication Scientifique Directe) and International Joint Conference on Artificial Intelligence.
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.