Gerard M. Healy

1.0k total citations
41 papers, 616 citations indexed

About

Gerard M. Healy is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gerard M. Healy has authored 41 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gerard M. Healy's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Renal cell carcinoma treatment (3 papers). Gerard M. Healy is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Renal cell carcinoma treatment (3 papers). Gerard M. Healy collaborates with scholars based in Ireland, Canada and Germany. Gerard M. Healy's co-authors include Brendan S. Kelly, Ciaran E. Redmond, Eric Heffernan, Ronan P. Killeen, Conor Judge, Kristen W. Yeom, Aonghus Lawlor, Gregory J. Nason, Prateek Mathur and Dominik Deniffel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and CHEST Journal.

In The Last Decade

Gerard M. Healy

39 papers receiving 608 citations

Peers

Gerard M. Healy
Comparison fields: 5 of 104
  • Radiology, Nuclear Medicine and Imaging 197
  • Pulmonary and Respiratory Medicine 159
  • Health Informatics 83
  • Surgery 77
  • Oncology 76
Replace Severin Rodler with:
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Severin Rodler Germany View profile →
Citations per field, relative to Gerard M. Healy
Gerard M. Healy · 1×
Citations per year, relative to Gerard M. Healy
Gerard M. Healy · 1×

Countries citing papers authored by Gerard M. Healy

Since Specialization
Citations

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

Fields of papers citing papers by Gerard M. Healy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard M. Healy. 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 Gerard M. Healy. The network helps show where Gerard M. Healy may publish in the future.

Co-authorship network of co-authors of Gerard M. Healy

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard M. Healy. A scholar is included among the top collaborators of Gerard M. Healy 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 Gerard M. Healy. Gerard M. Healy 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
# Work Indexed citations
1 5
2 1
3 5
4 15
5 2
6 14
7 4
8 9
9 3
10 52
11 28
12 33
13 4
14 5
15 10
16 5
17 1
18 80
19 14
20 9

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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