Stephen Muggleton
Impact in
- Artificial Intelligence top 0.1%
- Logic, Reasoning, and Knowledge
- Machine Learning and Algorithms
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- AI-based Problem Solving and Planning
- Bayesian Modeling and Causal Inference
- Computational Theory and Mathematics top 0.1%
- Rough Sets and Fuzzy Logic
Papers in
-
- Logic, Reasoning, and Knowledge 73
- Machine Learning and Algorithms 50
- Natural Language Processing Techniques 27
- Semantic Web and Ontologies 26
- AI-based Problem Solving and Planning 20
- Logic, programming, and type systems 18
-
- Computational Drug Discovery Methods 21
- Co-authors
- Luc De Raedt (4 shared papers)Ross D. King (16 shared papers)Michael J.E. Sternberg (39 shared papers)Cheng Feng (2 shared papers)Alireza Tamaddoni‐Nezhad (39 shared papers)Ashwin Srinivasan (15 shared papers)Wray Buntine (1 shared paper)Christopher H. Bryant (6 shared papers)
- Journals
- Machine Learning (21 papers)Lecture notes in computer science (62 papers)Journal of Molecular Biology (3 papers)Communications of the ACM (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Stephen Muggleton
202 papers receiving 8.5k citations
Stephen Muggleton's Hit Papers
Peers
Comparison fields: 5 of 179
- Artificial Intelligence 6.7k
- Computational Theory and Mathematics 2.8k
- Information Systems 1.9k
- Software 224
- Signal Processing 517
Countries citing papers authored by Stephen Muggleton
This map shows the geographic impact of Stephen Muggleton'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 Stephen Muggleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Muggleton more than expected).
Fields of papers citing papers by Stephen Muggleton
This network shows the impact of papers produced by Stephen Muggleton. 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 Stephen Muggleton. The network helps show where Stephen Muggleton may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Muggleton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inductive Logic Programming: Theory and methods Hit paper breakdown → | 1994 | 1102 |
| 2 | Inverse entailment and progol Hit paper breakdown → | 1995 | 1082 |
| 3 | Inductive logic programming Hit paper breakdown → | 1991 | 759 |
| 4 | Efficient Induction of Logic Programs | 1990 | 540 |
| 5 | 2004 | 476 | |
| 6 | 1988 | 340 | |
| 7 | 1996 | 236 | |
| 8 | 1992 | 202 | |
| 9 | 1996 | 190 | |
| 10 | 1992 | 183 | |
| 11 | 1997 | 153 | |
| 12 | 1995 | 122 | |
| 13 | 2015 | 121 | |
| 14 | Duce, an oracle-based approach to constructive induction | 1987 | 107 |
| 15 | 1998 | 105 | |
| 16 | 1992 | 100 | |
| 17 | 1997 | 95 | |
| 18 | 2013 | 92 | |
| 19 | 2011 | 91 | |
| 20 | 2015 | 89 |
About Stephen Muggleton
Stephen Muggleton is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Information Systems and Ecological Modeling, having authored 209 papers that have together received 9.1k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (73 papers), Machine Learning and Algorithms (50 papers), Natural Language Processing Techniques (27 papers), Semantic Web and Ontologies (26 papers), Computational Drug Discovery Methods (21 papers), AI-based Problem Solving and Planning (20 papers), Logic, programming, and type systems (18 papers) and Microbial Metabolic Engineering and Bioproduction (18 papers). The work is most often cited by research in Artificial Intelligence (6.7k citations), Computational Theory and Mathematics (2.8k citations), Information Systems (1.9k citations), Software (224 citations) and Signal Processing (517 citations). Stephen Muggleton has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Luc De Raedt, Ross D. King, Michael J.E. Sternberg, Cheng Feng, Alireza Tamaddoni‐Nezhad, Ashwin Srinivasan, Wray Buntine, Christopher H. Bryant, Ivan Bratko and Dianhuan Lin. Their work appears in journals such as Machine Learning, Lecture notes in computer science, Journal of Molecular Biology, Communications of the ACM and Proceedings of the National Academy of Sciences.
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.