Pól Mac Aonghusa

828 total citations
33 papers, 316 citations indexed

About

Pól Mac Aonghusa is a scholar working on Artificial Intelligence, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Pól Mac Aonghusa has authored 33 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in General Health Professions and 4 papers in Sociology and Political Science. Recurrent topics in Pól Mac Aonghusa's work include Privacy-Preserving Technologies in Data (5 papers), Privacy, Security, and Data Protection (4 papers) and Health Policy Implementation Science (4 papers). Pól Mac Aonghusa is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Privacy, Security, and Data Protection (4 papers) and Health Policy Implementation Science (4 papers). Pól Mac Aonghusa collaborates with scholars based in Ireland, United Kingdom and United States. Pól Mac Aonghusa's co-authors include Susan Michie, Ailbhe N. Finnerty, John Shawe‐Taylor, Robert West, Emma Norris, Marie Johnston, Marta M. Marques, Alison O’Mara-Eves, Léa A. Deleris and Michael P. Kelly and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecules.

In The Last Decade

Pól Mac Aonghusa

31 papers receiving 303 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pól Mac Aonghusa Ireland 9 82 56 54 30 28 33 316
Chaohui Guo China 11 101 1.2× 37 0.7× 48 0.9× 16 0.5× 17 0.6× 46 427
Stefano Bonacina Italy 11 106 1.3× 41 0.7× 41 0.8× 40 1.3× 35 1.3× 46 450
Zhichao Hao United States 7 49 0.6× 88 1.6× 28 0.5× 38 1.3× 23 0.8× 15 479
Hadi Lotfnezhad Afshar Iran 8 178 2.2× 77 1.4× 51 0.9× 52 1.7× 16 0.6× 16 527
Luis Marco-Ruiz Norway 11 122 1.5× 85 1.5× 31 0.6× 23 0.8× 57 2.0× 27 487
Nasim Aslani Iran 10 91 1.1× 46 0.8× 23 0.4× 25 0.8× 10 0.4× 28 399
Leonard Fehring Germany 11 173 2.1× 67 1.2× 129 2.4× 31 1.0× 34 1.2× 33 439
Francisco J. Núñez-Benjumea Spain 7 55 0.7× 26 0.5× 27 0.5× 8 0.3× 21 0.8× 28 217
Lena Griebel Germany 8 207 2.5× 38 0.7× 23 0.4× 41 1.4× 20 0.7× 12 425
Stephan Kiefer Germany 11 54 0.7× 70 1.3× 28 0.5× 40 1.3× 64 2.3× 34 358

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-authorship network of co-authors of Pól Mac Aonghusa

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

All Works

20 of 20 papers shown
2.
Dalli, Jeffrey, et al.. (2024). Clinical and computational development of a patient-calibrated ICGFA bowel transection recommender. Surgical Endoscopy. 38(6). 3212–3222. 1 indexed citations
3.
Sbodio, Marco Luca, et al.. (2024). Collaborative artificial intelligence system for investigation of healthcare claims compliance. Scientific Reports. 14(1). 11884–11884. 4 indexed citations
4.
Wu, Dan, Ian S. Miller, Annette T. Byrne, et al.. (2023). BF2-Azadipyrromethene Fluorophores for Intraoperative Vital Structure Identification. Molecules. 28(5). 2167–2167. 3 indexed citations
5.
Hardy, Niall, Pól Mac Aonghusa, Peter Neary, & Ronan A. Cahill. (2021). Intraprocedural Artificial Intelligence for Colorectal Cancer Detection and Characterisation in Endoscopy and Laparoscopy. Surgical Innovation. 28(6). 768–775. 17 indexed citations
6.
Wu, Dan, Ronan A. Cahill, Pól Mac Aonghusa, et al.. (2021). Dual Color Imaging from a Single BF 2 -Azadipyrromethene Fluorophore Demonstrated in vivo for Lymph Node Identification. International Journal of Medical Sciences. 18(7). 1541–1553. 15 indexed citations
7.
Wu, Dan, Pól Mac Aonghusa, & Donal F. O’Shea. (2021). Correlation of national and healthcare workers COVID-19 infection data; implications for large-scale viral testing programs. PLoS ONE. 16(4). e0250699–e0250699. 4 indexed citations
8.
Cahill, Ronan A., Pól Mac Aonghusa, & Neil Mortensen. (2021). The age of surgical operative video big data - My bicycle or our park?. The Surgeon. 20(3). e7–e12. 8 indexed citations
9.
Bonin, Francesca, Martin Gleize, Ailbhe N. Finnerty, et al.. (2020). HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports.. Language Resources and Evaluation. 1967–1975. 1 indexed citations
10.
Norris, Emma, Ailbhe N. Finnerty, Marta M. Marques, et al.. (2017). The Human Behaviour-Change Project: Developing a Behaviour Change Intervention Ontology.. UCL Discovery (University College London). 1 indexed citations
11.
Michie, Susan, James Thomas, Marie Johnston, et al.. (2017). The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation. Implementation Science. 12(1). 121–121. 163 indexed citations
12.
West, Robert, Susan Michie, John Shawe‐Taylor, et al.. (2016). Human Behaviour-Change Project. OSF Preprints (OSF Preprints).
13.
Aonghusa, Pól Mac & Douglas J. Leith. (2016). Don’t Let Google Know I’m Lonely. ACM Transactions on Privacy and Security. 19(1). 1–25. 3 indexed citations
14.
Gkoulalas-Divanis, Aris & Pól Mac Aonghusa. (2014). Privacy protection in open information management platforms. IBM Journal of Research and Development. 58(1). 2:1–2:11. 5 indexed citations
15.
Kotoulas, Spyros, et al.. (2014). A linked data approach to care coordination. 77–87. 3 indexed citations
16.
Kotoulas, Spyros, Vanessa López, Marco Luca Sbodio, et al.. (2014). SPUD - Semantic Processing of Urban Data. SSRN Electronic Journal. 1 indexed citations
17.
Kotoulas, Spyros, et al.. (2014). Enabling Person-Centric Care using Linked Data Technologies. Studies in health technology and informatics. 205. 692–6. 4 indexed citations
18.
Kotoulas, Spyros, Vanessa López, Wei Shen, et al.. (2013). Coordinating social care and healthcare using semanticweb technologies. International Semantic Web Conference. 169–172. 3 indexed citations
19.
Lécué, Freddy, Spyros Kotoulas, & Pól Mac Aonghusa. (2012). Capturing the Pulse of Cities: Opportunity and Research Challenges for Robust Stream Data Reasoning.. National Conference on Artificial Intelligence. 9 indexed citations
20.
López, Vanessa, et al.. (2012). QuerioCity: Accessing the Information of a City (DEMO). National Conference on Artificial Intelligence. 1 indexed citations

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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