Pól Mac Aonghusa

828 citations
33 papers · 316 · h-index 9

Impact in

Papers in

Pól Mac Aonghusa

31 papers receiving 303 citations

Peers

Pól Mac Aonghusa
Comparison fields: 5 of 111
  • Applied Psychology 54
  • Health Informatics 13
  • General Health Professions 82
  • General Decision Sciences 5
  • Health Information Management 11
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Citations per year

Countries citing papers authored by Pól Mac Aonghusa

Since Specialization
Citations

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

Fields of papers citing papers by Pól Mac Aonghusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pól Mac Aonghusa. 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 Pól Mac Aonghusa. The network helps show where Pól Mac Aonghusa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017163
2 202117
3 202017
4 202115
5 201211
6
Capturing the Pulse of Cities: Opportunity and Research Challenges for Robust Stream Data Reasoning.
20129
7 20149
8 20218
9 20188
10 20145
11 19875
12 20244
13 20214
14 20144
15
Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology.
20214
16 20184
17 19894
18
Coordinating social care and healthcare using semanticweb technologies
20133
19 20233
20 20163

About Pól Mac Aonghusa

Pól Mac Aonghusa is a scholar working on Artificial Intelligence, General Health Professions, Sociology and Political Science, Management Science and Operations Research and Health Information Management, having authored 33 papers that have together received 316 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Health Policy Implementation Science (4 papers), Semantic Web and Ontologies (4 papers), Privacy, Security, and Data Protection (4 papers), Data Quality and Management (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Data Management and Algorithms (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Applied Psychology (54 citations), Health Informatics (13 citations), General Health Professions (82 citations), General Decision Sciences (5 citations) and Health Information Management (11 citations). Pól Mac Aonghusa has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Susan Michie, Robert West, John Shawe‐Taylor, Marta M. Marques, Ailbhe N. Finnerty, James Thomas, Léa A. Deleris, Emma Norris, Alison O’Mara-Eves and Marie Johnston. Their work appears in journals such as Surgical Endoscopy, Scientific Reports, International Journal of Medical Sciences, IBM Journal of Research and Development and IEEE Transactions on Information Forensics and Security.

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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