Derek H. Sleeman

700 citations
15 papers · 408 indexed · h-index 8
Topics
Intelligent Tutoring Systems and Adaptive Learning (6 papers)AI-based Problem Solving and Planning (4 papers)Traumatic Brain Injury and Neurovascular Disturbances (2 papers)

In The Last Decade

Derek H. Sleeman

15 papers receiving 362 citations

Peers

Derek H. Sleeman
Comparison fields: 5 of 88
  • Artificial Intelligence 179
  • Neurology 129
  • Emergency Medicine 98
  • Epidemiology 82
  • Information Systems 50
Replace Vincent Corruble with:
Vincent Corruble France
Ann Yuan United States
Patrick Howell United States
Leandro Miranda Brazil
Sergio Guillén Spain
Rohit Joshi United States
Patrice Roy Canada
Ander de Keijzer Netherlands
Ming Yu China
Felix Gräßer Germany
Derek H. Sleeman relative to Vincent Corruble France Vincent Corruble's profile →
Citations per field
00.5×1.5×
Vincent Corruble · 1×
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-authorship network of co-authors of Derek H. Sleeman

This figure shows the co-authorship network connecting the top 25 collaborators of Derek H. Sleeman. A scholar is included among the top collaborators of Derek H. 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 H. Sleeman. Derek H. Sleeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1
ONTOSEARCH2: Searching ontologies semantically
29
2
Forecasting recovery after traumatic brain injury using intelligent data analysis of admission variables and time series physiological data-a comparison with logistic regression
1
3 170
4 4
5 14
6
Solving Linear Algebraic Equations.
2
7 9
8 48
9 1
10 11
11 2
12 1
13 78
14 5
15 33

About Derek H. Sleeman

Derek H. Sleeman is a scholar working on Family Practice, Computer Science Applications and Artificial Intelligence, 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) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). The work is most often cited by research in Emergency Medicine (98 citations), Neurology (129 citations) and Computer Science Applications (45 citations). Derek H. Sleeman has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include James Hartley, Patricia A. Jones, Timothy Howells, Peter Andrews, Vincent Corruble, F T de Dombal, Edward Thomas, Jeff Z. Pan, K. J. Gilhooly and Anthony Kelly. Their work appears in journals such as The Lancet, Journal of neurosurgery and Artificial Intelligence.

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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