Derek H. Sleeman

2.4k citations
116 papers · 1.8k · h-index 24

Impact in

Papers in

Derek H. Sleeman

113 papers receiving 1.5k citations

Peers

Derek H. Sleeman
Comparison fields: 5 of 147
  • Computer Science Applications 224
  • Artificial Intelligence 971
  • Information Systems 409
  • Developmental and Educational Psychology 161
  • Management Information Systems 104
Replace Jan M. Żytkow with:
Jan M. Żytkow United States
George F. Luger United States
Richard M. Young United Kingdom
Evandro De Barros Costa Brazil
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Citations per year

Countries citing papers authored by Derek H. Sleeman

Since Specialization
Citations

This map shows the geographic impact of Derek H. 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 H. 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 H. Sleeman more than expected).

Fields of papers citing papers by Derek H. Sleeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Derek H. 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 H. Sleeman Line = papers co-authored together Derek H. Sleeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Ninth International Workshop on Machine Learning
1992135
2 198693
3 198685
4 200175
5 198471
6 200269
7 202363
8 199157
9 200754
10
Image annotation with Photocopain
200649
11 196849
12 198241
13 200839
14 199735
15 199034
16 200833
17 200627
18 200226
19
Ontosearch2: Searching and querying web ontologies
200625
20 197925

About Derek H. Sleeman

Derek H. Sleeman is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Computer Networks and Communications and Software, having authored 116 papers that have together received 1.8k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (51 papers), AI-based Problem Solving and Planning (27 papers), Biomedical Text Mining and Ontologies (11 papers), Service-Oriented Architecture and Web Services (11 papers), Logic, Reasoning, and Knowledge (10 papers), Constraint Satisfaction and Optimization (9 papers), Business Process Modeling and Analysis (8 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Computer Science Applications (224 citations), Artificial Intelligence (971 citations), Information Systems (409 citations), Developmental and Educational Psychology (161 citations) and Management Information Systems (104 citations). Derek H. Sleeman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter J. Edwards, Alun D. Preece, Wamberto Weber Vasconcelos, Jeff Z. Pan, Juliet A. Baxter, Ralph T. Putnam, Malcolm Ross Sim, Eugenio Alberdi, Ruth Steinberg and David Corsar. Their work appears in journals such as Knowledge-Based Systems, Artificial intelligence for engineering design analysis and manufacturing, Cognitive Science, Artificial Intelligence in Medicine and AI Magazine.

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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