Derek Sleeman

2.3k citations
118 papers · 1.8k · h-index 24

Impact in

Papers in

    • Semantic Web and Ontologies 52
    • AI-based Problem Solving and Planning 28
    • Logic, Reasoning, and Knowledge 10
    • Natural Language Processing Techniques 7
    • Service-Oriented Architecture and Web Services 11

Derek Sleeman

114 papers receiving 1.5k citations

Peers

Derek Sleeman
Comparison fields: 5 of 148
  • Computer Science Applications 223
  • Artificial Intelligence 970
  • Information Systems 413
  • Developmental and Educational Psychology 161
  • Management Information Systems 105
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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 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Ninth International Workshop on Machine Learning
1992131
2 198691
3 198684
4 198476
5 200176
6 200269
7 199158
8 200755
9 196850
10 202349
11
Image annotation with Photocopain
200648
12 198240
13 199739
14 200839
15 199032
16 200830
17 200626
18 200226
19 199725
20 197925

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 118 papers that have together received 1.8k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (52 papers), AI-based Problem Solving and Planning (28 papers), Service-Oriented Architecture and Web Services (11 papers), Biomedical Text Mining and Ontologies (11 papers), Constraint Satisfaction and Optimization (10 papers), Logic, Reasoning, and Knowledge (10 papers), Business Process Modeling and Analysis (8 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Computer Science Applications (223 citations), Artificial Intelligence (970 citations), Information Systems (413 citations), Developmental and Educational Psychology (161 citations) and Management Information Systems (105 citations). Derek Sleeman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter Edwards, Alun Preece, Wamberto Vasconcelos, Juliet A. Baxter, Ralph T. Putnam, Jeff Z. Pan, Eugenio Alberdi, Ruth Steinberg, Malcolm Sim and Yi Zhang. Their work appears in journals such as Knowledge-Based Systems, Artificial intelligence for engineering design analysis and manufacturing, AI Magazine, Artificial Intelligence in Medicine and Cognitive Science.

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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