Stephen Muggleton - Google Scholar Citations

Cited by

	All	Since 2015
Citations	17757	2920
h-index	71	24
i10-index	82	51

940

470

235

705

199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202058 145 226 291 505 426 602 452 522 589 583 682 532 707 665 722 776 764 930 822 740 710 701 656 624 612 526 529 579 619 55

Co-authors

Ross D. KingProfessor of Computer Science, University of ManchesterVerified email at manchester.ac.uk
Alireza Tamaddoni-NezhadImperial College LondonVerified email at imperial.ac.uk
Luc De Raedtprofessor, KU LeuvenVerified email at cs.kuleuven.be
Huma LodhiThe University of WarwickVerified email at warwick.ac.uk
Ivan BratkoProfessor of Computer Science, University of LjubljanaVerified email at fri.uni-lj.si
Douglas KellUniversity of ManchesterVerified email at manchester.ac.uk
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, TU DarmstadtVerified email at cs.tu-darmstadt.de
Marcel TurcotteProfessor (Full) at the School of Electrical Engineering and Computer Science, University of OttawaVerified email at uottawa.ca
Antonis KakasUniversity of CyprusVerified email at ucy.ac.cy
Wray BuntineProfessor, MonashVerified email at monash.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Katsumi InoueNational Institute of Informatics / SOKENDAI / Tokyo Institute of TechnologyVerified email at nii.ac.jp
Lawrence KelleyImperial College LondonVerified email at imperial.ac.uk
Wayne LukProfessor of Computer Engineering, Imperial College LondonVerified email at imperial.ac.uk
Jeremy K NicholsonProVice Chancellor for Health and Director Australian National Phenome Center, Murdoch UniversityVerified email at murdoch.edu.au

Stephen Muggleton

Imperial College London

Verified email at imperial.ac.uk - Homepage

Inductive Logic Programming Automation of Science Relational Learning Computational Logic Logic Programming


Title	Cited by	Year
Inverse entailment and Progol S Muggleton New generation computing 13 (3), 245-286, 1995	1891	1995
Inductive logic programming: Theory and methods S Muggleton, L De Raedt The Journal of Logic Programming 19, 629-679, 1994	1851	1994
Inductive logic programming S Muggleton New generation computing 8 (4), 295-318, 1991	1754	1991
Efficient induction of logic programs S Muggleton, C Feng Turing Institute, 1990	1129	1990
Inductive logic programming S Muggleton Morgan Kaufmann, 1992	938	1992
Machine invention of first-order predicates by inverting resolution S Muggleton, W Buntine Machine Learning Proceedings 1988, 339-352, 1988	713	1988
Functional genomic hypothesis generation and experimentation by a robot scientist RD King, KE Whelan, FM Jones, PGK Reiser, CH Bryant, SH Muggleton, ... Nature 427 (6971), 247-252, 2004	568	2004
Probabilistic Inductive Logic Programming-Theory and Applications, volume 4911 of Lecture Notes in Computer Science L De Raedt, P Frasconi, K Kersting, S Muggleton Springer, 2008	507*	2008
Learning probabilistic logic models from probabilistic examples J Chen, S Muggleton, J Santos Machine learning 73 (1), 55-85, 2008	490*	2008
Stochastic logic programming S Muggleton Proceedings of the 5th International Workshop on Inductive Logic Programming, 1995	439*	1995
Stochastic logic programs S Muggleton Advances in inductive logic programming 32, 254-264, 1996	434	1996
Theories for mutagenicity: A study in first-order and feature-based induction A Srinivasan, SH Muggleton, MJE Sternberg, RD King Artificial Intelligence 85 (1-2), 277-299, 1996	421	1996
Drug design by machine learning: The use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase RD King, S Muggleton, RA Lewis, MJ Sternberg Proceedings of the national academy of sciences 89 (23), 11322-11326, 1992	338	1992
Protein secondary structure prediction using logic-based machine learning S Muggleton, RD King, MJE Stenberg Protein Engineering, Design and Selection 5 (7), 647-657, 1992	335	1992
Structure-activity relationships derived by machine learning: The use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming RD King, SH Muggleton, A Srinivasan, MJ Sternberg Proceedings of the National Academy of Sciences 93 (1), 438-442, 1996	327	1996
Meta-interpretive learning of higher-order dyadic datalog: Predicate invention revisited S Muggleton, ATN Lin, Dianhuan Machine Learning 100 (1), 49-73, 2015	315*	2015
Learning from positive data S Muggleton Inductive logic programming, 358-376, 1997	298	1997
Mutagenesis: ILP experiments in a non-determinate biological domain A Srinivasan, S Muggleton, RD King, MJE Sternberg Proceedings of the 4th International Workshop on Inductive Logic Programming …, 1994	232	1994
Applications of inductive logic programming I Bratko, S Muggleton Communications of the ACM 38 (11), 65-70, 1995	205	1995
Duce, an oracle based approach to constructive induction S Muggleton Proceedings of the Tenth International Joint conference on Artificial …, 1987	197	1987

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors