Eric Mays

896 citations
28 papers · 700 · h-index 13

Impact in

Papers in

    • Logic, Reasoning, and Knowledge 10
    • Natural Language Processing Techniques 9
    • AI-based Problem Solving and Planning 7
    • Speech and dialogue systems 5
    • Advanced Computational Techniques and Applications 4
    • Semantic Web and Ontologies 3
    • Advanced Database Systems and Queries 4

Eric Mays

28 papers receiving 598 citations

Peers

Eric Mays
Comparison fields: 5 of 44
  • Artificial Intelligence 428
  • Health Information Management 59
  • Signal Processing 44
  • Computer Networks and Communications 95
  • Human-Computer Interaction 19
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Citations per field
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Citations per year

Countries citing papers authored by Eric Mays

Since Specialization
Citations

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

Fields of papers citing papers by Eric Mays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Eric Mays, 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 Eric Mays Line = papers co-authored together Eric Mays links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991200
2 199165
3
Modeling guidelines for integration into clinical workflow.
200457
4
Role grouping as an extension to the description logic of Ontylog, motivated by concept modeling in SNOMED.
200248
5
Scalable and expressive medical terminologies.
199644
6 199143
7 198735
8
Varieties of user misconceptions: detection and correction
198324
9
Failures in natural language systems: applications to data base query systems
198023
10 198922
11 199118
12 199114
13
The equivalence of model-theoretic and structural subsumption in description logics
199314
14
A non-well-founded approach to terminological cycles
199213
15
Natural language interaction with dynamic knowledge bases: monitoring as response
198111
16
Taking the Initiative in Natural Language Data Base Interactions: Monitoring as Response.
198210
17
Monitors as responses to questions: determining competence
19829
18
Standards-Based Sharable Active Guideline Environment (SAGE): A Project to Develop a Universal Framework for Encoding and Disseminating Electronic Clinical Practice Guidelines
20029
19 19838
20 19838

About Eric Mays

Eric Mays is a scholar working on Artificial Intelligence, Computer Networks and Communications, Health Information Management, Public Health, Environmental and Occupational Health and Information Systems, having authored 28 papers that have together received 700 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (10 papers), Natural Language Processing Techniques (9 papers), AI-based Problem Solving and Planning (7 papers), Speech and dialogue systems (5 papers), Advanced Database Systems and Queries (4 papers), Advanced Computational Techniques and Applications (4 papers), Semantic Web and Ontologies (3 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Artificial Intelligence (428 citations), Health Information Management (59 citations), Signal Processing (44 citations), Computer Networks and Communications (95 citations) and Human-Computer Interaction (19 citations). Eric Mays has collaborated with scholars based in United States. Frequent co-authors include Fred J. Damerau, Robert L. Mercer, Sitaram Lanka, Bonnie Webber, Frank J. Oles, Kent A. Spackman, Aravind K. Joshi, James H. Griesmer, Chidanand V. Apte and Kathleen R. McKeown. Their work appears in journals such as Information Processing & Management, IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record, Computers & Mathematics with Applications and IBM Journal of Research and Development.

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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