D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 53 Citations 15,163 239 World Ranking 3132 National Ranking 200

Research.com Recognitions

Awards & Achievements

2010 - Fellow of the Royal Academy of Engineering (UK)

2002 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory and practice of inductive logic programming, especially applied to the discovery of new biomolecular theories from observational data.

Best Publications

Inductive Logic Programming : Theory and Methods

Stephen Muggleton;Luc de Raedt.
Journal of Logic Programming (1994)

2159 Citations

Inverse entailment and PROGOL

Stephen Muggleton.
New Generation Computing (1995)

2106 Citations

Efficient Induction of Logic Programs

S. Muggleton;C. Feng.
algorithmic learning theory (1990)

1207 Citations

Machine invention of first order predicates by inverting resolution

Stephen Muggleton;Wray L. Buntine.
international conference on machine learning (1988)

765 Citations

Functional genomic hypothesis generation and experimentation by a robot scientist

Ross D. King;Kenneth E. Whelan;Ffion M. Jones;Philip G. K. Reiser.
Nature (2004)

700 Citations

Theories for mutagenicity: a study in first-order and feature-based induction

Ashwin Srinivasan;S. H. Muggleton;M. J. E. Sternberg;R. D. King.
Artificial Intelligence (1996)

442 Citations

Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.

Ross D. King;Stephen Muggleton;Richard A. Lewis;Michael J. E. Sternberg.
Proceedings of the National Academy of Sciences of the United States of America (1992)

374 Citations

Protein secondary structure prediction using logic-based machine learning

S. Muggleton;R.D. King;M.J.E. Sternberg.
Protein Engineering (1992)

373 Citations

Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming.

Ross D. King;Stephen H. Muggleton;Ashwin Srinivasan;Michael J. E. Sternberg.
Proceedings of the National Academy of Sciences of the United States of America (1996)

349 Citations

Learning from Positive Data

Stephen Muggleton.
inductive logic programming (1996)

326 Citations

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