Derek Sleeman

2.3k total citations
84 papers, 1.1k citations indexed

About

Derek Sleeman is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Derek Sleeman has authored 84 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 16 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Derek Sleeman's work include Semantic Web and Ontologies (34 papers), AI-based Problem Solving and Planning (20 papers) and Biomedical Text Mining and Ontologies (9 papers). Derek Sleeman is often cited by papers focused on Semantic Web and Ontologies (34 papers), AI-based Problem Solving and Planning (20 papers) and Biomedical Text Mining and Ontologies (9 papers). Derek Sleeman collaborates with scholars based in United Kingdom, United States and France. Derek Sleeman's co-authors include Peter Edwards, Alun Preece, Ruth Steinberg, Eugenio Alberdi, Juliet A. Baxter, Ralph T. Putnam, David Corsar, Malcolm Sim, Pat Langley and Jeff Z. Pan and has published in prestigious journals such as Communications of the ACM, British journal of surgery and Artificial Intelligence.

In The Last Decade

Derek Sleeman

78 papers receiving 965 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Derek Sleeman	551	240	144	138	120	84	1.1k
Jan M. Żytkow	767 1.4×	334 1.4×	45 0.3×	70 0.5×	101 0.8×	67	1.6k
Nicola Capuano	614 1.1×	366 1.5×	143 1.0×	342 2.5×	234 1.9×	88	1.4k
Bert Huang	766 1.4×	176 0.7×	71 0.5×	160 1.2×	35 0.3×	50	1.3k
Saverio Salerno	276 0.5×	175 0.7×	34 0.2×	125 0.9×	88 0.7×	79	708
Andrew McGettrick	127 0.2×	496 2.1×	146 1.0×	593 4.3×	144 1.2×	64	1.3k
Khurshid Ahmad	625 1.1×	133 0.6×	57 0.4×	16 0.1×	51 0.4×	111	1.1k
Alan J. Perlis	972 1.8×	312 1.3×	37 0.3×	155 1.1×	30 0.3×	57	1.9k
Andrea Danyluk	640 1.2×	172 0.7×	12 0.1×	208 1.5×	59 0.5×	31	1.3k
Bum Chul Kwon	633 1.1×	106 0.4×	31 0.2×	77 0.6×	47 0.4×	61	1.7k
Luis E. Zárate	329 0.6×	156 0.7×	43 0.3×	114 0.8×	15 0.1×	128	948

Countries citing papers authored by Derek Sleeman

Since Specialization

Citations

This map shows the geographic impact of Derek Sleeman'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 Derek Sleeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Sleeman more than expected).

Fields of papers citing papers by Derek Sleeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek Sleeman. 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 Derek Sleeman. The network helps show where Derek Sleeman may publish in the future.

Co-authorship network of co-authors of Derek Sleeman

This figure shows the co-authorship network connecting the top 25 collaborators of Derek Sleeman. A scholar is included among the top collaborators of Derek Sleeman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Derek Sleeman. Derek Sleeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sleeman, Derek & Ken Gilhooly. (2023). Groups of experts often differ in their decisions: What are the implications for AI and machine learning? A commentary onNoise: A Flaw in Human Judgment, byKahneman, Sibony, and Sunstein (2021). AI Magazine. 44(4). 555–567. 2 indexed citations

Sleeman, Derek, et al.. (2023). The impact of inconsistent human annotations on AI driven clinical decision making. npj Digital Medicine. 6(1). 26–26. 35 indexed citations

Burton, Christopher, Lisa Iversen, Siladitya Bhattacharya, et al.. (2017). Pointers to earlier diagnosis of endometriosis: a nested case-control study using primary care electronic health records. British Journal of General Practice. 67(665). e816–e823. 10 indexed citations

Grando, Adela, Laura Moss, Derek Sleeman, & John Kinsella. (2013). Argumentation-logic for creating and explaining medical hypotheses. Artificial Intelligence in Medicine. 58(1). 1–13. 15 indexed citations

Sleeman, Derek, et al.. (2012). INSIGHT: Helping domain experts make their knowledge more consistent. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations

Sleeman, Derek, et al.. (2012). Detecting and resolving inconsistencies between domain experts’ different perspectives on (classification) tasks. Artificial Intelligence in Medicine. 55(2). 71–86. 4 indexed citations

Fowler, David W., et al.. (2008). IPAS ontology development. ePrints Soton (University of Southampton). 174. 120–131. 5 indexed citations

Thomas, Edward, et al.. (2008). Aberdeen University Ontology Reuse Stack. Aberdeen University Research Archive (Aberdeen University). 83. 2 indexed citations

Sleeman, Derek, et al.. (2008). The role of ontologies in creating and maintaining corporate knowledge: A case study from the aero industry. Applied Ontology. 3(3). 151–172. 1 indexed citations

10.

Pan, Jeff Z., Edward Thomas, & Derek Sleeman. (2006). Ontosearch2: Searching and querying web ontologies. 23 indexed citations

11.

Alberdi, Eugenio, et al.. (2000). Accommodating Surprise in Taxonomic Tasks: The Role of Expertise. Cognitive Science. 24(1). 53–91. 16 indexed citations

12.

White, Simon R. & Derek Sleeman. (2000). A Constraint-Based Approach to the Description and Detection of Fitness-for-Purpose.. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4. 155–183.

13.

White, Simon R. & Derek Sleeman. (1998). Providing Advice on the Acquisition and Reuse Of Knowledge Bases in Problem Solving. 2 indexed citations

14.

Alberdi, Eugenio & Derek Sleeman. (1997). ReTAX: a step in the automation of taxonomic revision. Artificial Intelligence. 91(2). 257–279. 17 indexed citations

15.

Simon, Herbert A., Raúl E. Valdés‐Pérez, & Derek Sleeman. (1997). Scientific discovery and simplicity of method. Artificial Intelligence. 91(2). 177–181. 26 indexed citations

16.

Sleeman, Derek, et al.. (1996). Improving the Efficiency of Knowledge Base Refinement.. International Conference on Machine Learning. 78–86. 7 indexed citations

17.

Sleeman, Derek, et al.. (1993). Learning plan transformations from self-questions: a memory-based approach. National Conference on Artificial Intelligence. 520–525. 6 indexed citations

18.

Edwards, Peter, Derek Sleeman, Gordon C. K. Roberts, & Lu Lian. (1993). An AI approach to the interpretation of the NMR spectra of proteins. 396–432. 2 indexed citations

19.

Sleeman, Derek, Pat Langley, & Tom M. Mitchell. (1989). Learning from solution paths: an approach to the credit assignment problem. 395–399. 2 indexed citations

20.

Sleeman, Derek, Pat Langley, & Tom M. Mitchell. (1982). Learning from Solution Paths: An Approach to the Credit Assignment Problem. AI Magazine. 3(2). 48–52. 33 indexed citations

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.

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