Dónal Doyle

1.0k citations
11 papers · 689 · h-index 8

Impact in

Papers in

    • AI-based Problem Solving and Planning 6
    • Semantic Web and Ontologies 4
    • Explainable Artificial Intelligence (XAI) 2
    • Topic Modeling 2
    • Advanced Text Analysis Techniques 1
    • Model-Driven Software Engineering Techniques 2

Dónal Doyle

11 papers receiving 648 citations

Peers

Dónal Doyle
Comparison fields: 5 of 87
  • Statistical and Nonlinear Physics 328
  • Artificial Intelligence 356
  • Computer Networks and Communications 131
  • Transportation 32
  • Information Systems 104
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Xovee Xu China
Sucheta Soundarajan United States
Zhaoyun Ding China
Bhawani Sankar Panda India
Huawei Shen China
Andreas Lommatzsch Germany
Alireza Abdollahpouri Iran
Aman Ullah China
Stephen Ranshous United States
Guoyong Cai China
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Citations per field
00.5×10×20×30×40×48×
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Citations per year

Countries citing papers authored by Dónal Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Dónal Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Dónal Doyle, 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 Dónal Doyle Line = papers co-authored together Dónal Doyle links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010385
2 200772
3 200565
4 200456
5 200836
6 200424
7 200622
8
An Evaluation of the Usefulness of Explanation in a CBR System for Decision Support in Bronchiolitis Treatment
200517
9 20058
10
Comparison of the evaluations of a case-based reasoning decision support tool by specialist expert reviewers with those of end users.
20082
11
Migrating a domain-specific modeling language to MDA technology
20062

About Dónal Doyle

Dónal Doyle is a scholar working on Artificial Intelligence, Software, Information Systems, Transportation and Management Information Systems, having authored 11 papers that have together received 689 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (6 papers), Semantic Web and Ontologies (4 papers), Model-Driven Software Engineering Techniques (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Topic Modeling (2 papers), Biomedical Text Mining and Ontologies (1 paper), Data Mining Algorithms and Applications (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (328 citations), Artificial Intelligence (356 citations), Computer Networks and Communications (131 citations), Transportation (32 citations) and Information Systems (104 citations). Dónal Doyle has collaborated with scholars based in Ireland and United States. Frequent co-authors include Pádraig Cunningham, Derek Greene, Sarah Jane Delany, Yusof Rahman, Derek Bridge, Paul F. Walsh, Lorcan Coyle and Arie van Deursen. Their work appears in journals such as Journal of Intelligent Information Systems, Lecture notes in computer science, Computational Intelligence, Data Archiving and Networked Services (DANS) and PubMed.

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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