Edward Pattison-Gordon

559 citations
11 papers · 391 indexed · h-index 7
Topics
Biomedical Text Mining and Ontologies (8 papers)Semantic Web and Ontologies (7 papers)Electronic Health Records Systems (3 papers)
Partner nations
United States

In The Last Decade

Edward Pattison-Gordon

11 papers receiving 352 citations

Peers

Edward Pattison-Gordon
Comparison fields: 5 of 55
  • Molecular Biology 262
  • Artificial Intelligence 190
  • Health Information Management 181
  • Public Health, Environmental and Occupational Health 134
  • Management Information Systems 30
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Countries citing papers authored by Edward Pattison-Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Edward Pattison-Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Pattison-Gordon. 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 Edward Pattison-Gordon. The network helps show where Edward Pattison-Gordon may publish in the future.

Co-authorship network of co-authors of Edward Pattison-Gordon

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Error-tolerant speech-to-speech translation
1
2 257
3
Requirements of a Sharable Guideline Representation for Computer Applications
10
4
Intermed: An Internet-based Medical Collaboratory
10
5 42
6 40
7
An empirical investigation into the conceptual structure of chest radiograph findings.
2
8
The findings--diagnosis continuum: implications for image descriptions and clinical databases.
10
9
Adaptation of Meta-1 for SAPHIRE, A General Purpose Information Retrieval System.
4
10
Conceptual Modeling for the Unified Medical Language System
13
11
The Use of Fisheye Views for Displaying Semantic Relationships in a Medical Taxonomy.
2

About Edward Pattison-Gordon

Edward Pattison-Gordon is a scholar working on Health Information Management, Information Systems and Management and Artificial Intelligence, having authored 11 papers that have together received 391 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Semantic Web and Ontologies (7 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Health Information Management (181 citations), Medical Terminology (3 citations) and Artificial Intelligence (190 citations). Edward Pattison-Gordon has collaborated with scholars based in United States. Frequent co-authors include Robert A. Greenes, John H. Gennari, Edward H. Shortliffe, Samson W. Tu, Nilesh Jain, Diane E. Oliver, Shawn N. Murphy, Lucila Ohno‐Machado, G. Octo Barnett and Douglas S. Bell. Their work appears in journals such as Journal of the American Medical Informatics Association, PubMed and PubMed Central.

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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