Paul Doolan

26 papers receiving 358 citations

Peers

Paul Doolan
Comparison fields: 5 of 37
  • Radiation 107
  • Health Informatics 27
  • Pulmonary and Respiratory Medicine 179
  • Complementary and alternative medicine 20
  • Radiology, Nuclear Medicine and Imaging 41
Replace Tomohiro Kajikawa with:
Tomohiro Kajikawa Japan
Peng Xiao China
Yixiao Li China
Maja C. Sohlin Sweden
Rasmus Bokrantz Sweden
Heide Rohling Germany
Tarek Halabi United States
Lasse Rye Aarup Denmark
Michael Monz Germany
Oskari Pakari Switzerland
Paul Doolan relative to Tomohiro Kajikawa Japan Tomohiro Kajikawa's profile →
Citations per field
00.5×10×20×27×
Tomohiro Kajikawa · 1×
Citations per year

Countries citing papers authored by Paul Doolan

Since Specialization
Citations

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

Fields of papers citing papers by Paul Doolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202365
2 201561
3 201042
4 201540
5 202020
6 201718
7 201917
8 202316
9 201313
10 20158
11 20158
12 20168
13 20248
14 20215
15 20245
16 20214
17 20214
18 20234
19 20193
20 20243

About Paul Doolan

Paul Doolan is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Health Informatics, having authored 27 papers that have together received 361 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (10 papers), Advanced Radiotherapy Techniques (10 papers), Medical Image Segmentation Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (1 paper), Advances in Oncology and Radiotherapy (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Radiation (107 citations), Health Informatics (27 citations), Pulmonary and Respiratory Medicine (179 citations), Complementary and alternative medicine (20 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Paul Doolan has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gary J. Royle, El Hassane Bentefour, Gregory Charles Sharp, M Testa, Raymond G. Reid, Joao Carlos Seco, Charles‐Antoine Collins‐Fekete, Iosif Strouthos, Luc Beaulieu and Konstantinos Ferentinos. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Radiotherapy and Oncology, Journal of Applied Clinical Medical Physics and Cancer Management and Research.

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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