Aaron D. Ward

2.7k citations
134 papers · 1.9k · h-index 23

Impact in

Papers in

Aaron D. Ward

121 papers receiving 1.9k citations

Peers

Aaron D. Ward
Comparison fields: 5 of 119
  • Radiology, Nuclear Medicine and Imaging 961
  • Radiation 292
  • Pulmonary and Respiratory Medicine 1.1k
  • Health Informatics 28
  • Computer Vision and Pattern Recognition 400
Replace Hidetaka Arimura with:
Hidetaka Arimura Japan
Soumya Ghose United States
Pretesh Patel United States
Annette Haworth Australia
Sibo Tian United States
Jifke F. Veenland Netherlands
Jason Dowling Australia
Alessandro Stefano Italy
René Werner Germany
Yong Yin China
Aaron D. Ward relative to Hidetaka Arimura Japan Hidetaka Arimura's profile →
Citations per field
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Hidetaka Arimura · 1×
Citations per year

Countries citing papers authored by Aaron D. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Aaron D. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron D. Ward. 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 Aaron D. Ward. The network helps show where Aaron D. Ward may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012156
2 2011117
3 2015111
4 201394
5 201490
6 201061
7 201160
8 201258
9 201255
10 201954
11 201346
12 201244
13 200942
14 201937
15 201534
16 201533
17 201432
18 202031
19 201630
20 201328

About Aaron D. Ward

Aaron D. Ward is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 134 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (52 papers), Radiomics and Machine Learning in Medical Imaging (46 papers), AI in cancer detection (24 papers), Medical Image Segmentation Techniques (24 papers), Lung Cancer Diagnosis and Treatment (21 papers), Prostate Cancer Treatment and Research (19 papers), Medical Imaging and Analysis (15 papers) and Medical Imaging Techniques and Applications (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (961 citations), Radiation (292 citations), Pulmonary and Respiratory Medicine (1.1k citations), Health Informatics (28 citations) and Computer Vision and Pattern Recognition (400 citations). Aaron D. Ward has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include David A. Palma, Aaron Fenster, Suresh Senan, Glenn Bauman, Sarah A. Mattonen, Cesare Romagnoli, Madeleine Moussa, José A. Gómez, Eli Gibson and George Rodrigues. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, Scientific Reports and Academic Radiology.

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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