Derek Sleeman

2.3k citations
84 papers · 1.1k · h-index 18

Impact in

Papers in

Derek Sleeman

79 papers receiving 986 citations

Peers

Derek Sleeman
Comparison fields: 5 of 144
  • Computer Science Applications 139
  • Artificial Intelligence 548
  • Information Systems 238
  • Developmental and Educational Psychology 120
  • Statistics and Probability 72
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Derek Sleeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Derek Sleeman Line = papers co-authored together Derek Sleeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Ninth International Workshop on Machine Learning
1992118
2 200164
3 198462
4 199156
5 198656
6 196849
7 202348
8 200244
9 198643
10 198234
11 200831
12 199726
13
Ontosearch2: Searching and querying web ontologies
200623
14 198922
15 199021
16 200617
17 199717
18 197917
19 200016
20 201315

About Derek Sleeman

Derek Sleeman is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Management Information Systems, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (33 papers), AI-based Problem Solving and Planning (20 papers), Service-Oriented Architecture and Web Services (9 papers), Biomedical Text Mining and Ontologies (8 papers), Business Process Modeling and Analysis (6 papers), Constraint Satisfaction and Optimization (6 papers), Teaching and Learning Programming (6 papers) and Cognitive and developmental aspects of mathematical skills (5 papers). The work is most often cited by research in Computer Science Applications (139 citations), Artificial Intelligence (548 citations), Information Systems (238 citations), Developmental and Educational Psychology (120 citations) and Statistics and Probability (72 citations). Derek Sleeman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter Edwards, Alun Preece, Ruth Steinberg, Malcolm Sim, Juliet A. Baxter, David Corsar, Ralph T. Putnam, Eugenio Alberdi, Jeff Z. Pan and Pat Langley. Their work appears in journals such as Knowledge-Based Systems, AI Magazine, Artificial intelligence for engineering design analysis and manufacturing, Cognitive Science and Artificial Intelligence in Medicine.

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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