Derek H. Sleeman

701 citations
15 papers · 408 · h-index 8

Impact in

Papers in

    • Intelligent Tutoring Systems and Adaptive Learning 6
    • AI-based Problem Solving and Planning 4
    • Natural Language Processing Techniques 2
    • Traumatic Brain Injury and Neurovascular Disturbances 2

Derek H. Sleeman

15 papers receiving 363 citations

Peers

Derek H. Sleeman
Comparison fields: 5 of 80
  • Computer Science Applications 45
  • Neurology 99
  • Emergency Medicine 45
  • Artificial Intelligence 178
  • Developmental and Educational Psychology 47
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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 11 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

15 of 15 papers shown
#Work
1 2002170
2 197378
3 198148
4 196933
5
ONTOSEARCH2: Searching ontologies semantically
200729
6 198714
7 197711
8 19839
9 19725
10 19934
11
Solving Linear Algebraic Equations.
19842
12 19772
13
Forecasting recovery after traumatic brain injury using intelligent data analysis of admission variables and time series physiological data-a comparison with logistic regression
20021
14 19731
15 19811

About Derek H. Sleeman

Derek H. Sleeman is a scholar working on Artificial Intelligence, Neurology, Family Practice, Information Systems and Computer Science Applications, having authored 15 papers that have together received 408 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), AI-based Problem Solving and Planning (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Natural Language Processing Techniques (2 papers), Artificial Intelligence in Healthcare (1 paper), Statistics Education and Methodologies (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Computer Science Applications (45 citations), Neurology (99 citations), Emergency Medicine (45 citations), Artificial Intelligence (178 citations) and Developmental and Educational Psychology (47 citations). Derek H. Sleeman has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include James Hartley, Timothy Howells, Vincent Corruble, Patricia A. Jones, Peter Andrews, F T de Dombal, Jeff Z. Pan, Edward Thomas, Anthony Kelly and K. J. Gilhooly. Their work appears in journals such as ACM Transactions on Programming Languages and Systems, Journal of neurosurgery, The Lancet, Artificial Intelligence and ACM SIGPLAN Notices.

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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