Delroy Cameron

554 citations
17 papers · 379 · h-index 8

Impact in

Papers in

    • Semantic Web and Ontologies 12
    • Topic Modeling 5
    • Advanced Text Analysis Techniques 3
    • Natural Language Processing Techniques 2
    • Biomedical Text Mining and Ontologies 10

Delroy Cameron

17 papers receiving 360 citations

Peers

Delroy Cameron
Comparison fields: 5 of 80
  • Toxicology 37
  • Emergency Medicine 72
  • Artificial Intelligence 148
  • Pharmacology 37
  • Information Systems 61
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Citations per field
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Citations per year

Countries citing papers authored by Delroy Cameron

Since Specialization
Citations

This map shows the geographic impact of Delroy Cameron'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 Delroy Cameron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delroy Cameron more than expected).

Fields of papers citing papers by Delroy Cameron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Delroy Cameron. 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 Delroy Cameron. The network helps show where Delroy Cameron may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012106
2 201394
3 201554
4 201237
5 201522
6
Spatial and Temporal Target Association through Semantic Analysis and GPS Data Mining.
200721
7
Collecting Expertise of Researchers for Finding Relevant Experts in a Peer-Review Setting
200714
8 20107
9
A Context-Driven Subgraph Model for Literature-Based Discovery
20145
10 20114
11 20144
12 20124
13 20152
14 20102
15
Dynamic Associative Relationships on the Linked Open Data Web
20101
16
What Goes Around Comes Around — Improving Linked Open Data through On-Demand Model Creation
20101
17
A Web-Based Study of Self-Treatment of Opioid Withdrawal Symptoms with Loperamide
20121

About Delroy Cameron

Delroy Cameron is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Public Health, Environmental and Occupational Health and Emergency Medicine, having authored 17 papers that have together received 379 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (5 papers), Advanced Text Analysis Techniques (3 papers), Opioid Use Disorder Treatment (3 papers), Poisoning and overdose treatments (2 papers), Natural Language Processing Techniques (2 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Toxicology (37 citations), Emergency Medicine (72 citations), Artificial Intelligence (148 citations), Pharmacology (37 citations) and Information Systems (61 citations). Delroy Cameron has collaborated with scholars based in United States. Frequent co-authors include Amit Sheth, Raminta Daniulaityte, Robert G. Carlson, Rüssel S. Falck, Lu Chen, Krishnaprasad Thirunarayan, Sujan Perera, Olivier Bodenreider, Thomas C. Rindflesch and Ramakanth Kavuluru. Their work appears in journals such as Journal of Biomedical Informatics, American Journal on Addictions, Drug and Alcohol Dependence, Journal of Web Semantics and Scholar Commons (University of South Carolina).

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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