Andrew J. Buckler
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 10%
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Daniel C. SullivanLawrence H. SchwartzN. Reed DunnickLinda BresolinHuiman X. BarnhartP. David MozleyNancy A. ObuchowskiAlexander R. Guimarães
- Topics
- Radiomics and Machine Learning in Medical Imaging (25 papers)Medical Imaging Techniques and Applications (13 papers)Lung Cancer Diagnosis and Treatment (12 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- CirculationJournal of the American College of CardiologyJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Andrew J. Buckler
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 506
- Biomedical Engineering 264
- Surgery 214
- Cardiology and Cardiovascular Medicine 190
Countries citing papers authored by Andrew J. Buckler
This map shows the geographic impact of Andrew J. Buckler'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 Andrew J. Buckler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Buckler more than expected).
Fields of papers citing papers by Andrew J. Buckler
This network shows the impact of papers produced by Andrew J. Buckler. 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 Andrew J. Buckler. The network helps show where Andrew J. Buckler may publish in the future.
Co-authorship network of co-authors of Andrew J. Buckler
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Buckler. A scholar is included among the top collaborators of Andrew J. Buckler 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 Andrew J. Buckler. Andrew J. Buckler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 165 | |
| 12 | 48 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 21 | |
| 16 | 15 | |
| 17 | 87 | |
| 18 | 60 | |
| 19 | 71 | |
| 20 | 33 |
About Andrew J. Buckler
Andrew J. Buckler is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Statistics and Probability, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), Medical Imaging Techniques and Applications (13 papers) and Lung Cancer Diagnosis and Treatment (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Informatics (28 citations) and Pulmonary and Respiratory Medicine (506 citations). Andrew J. Buckler has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Daniel C. Sullivan, Lawrence H. Schwartz, N. Reed Dunnick, Linda Bresolin, Huiman X. Barnhart, P. David Mozley, Nancy A. Obuchowski, Alexander R. Guimarães, Nicholas Petrick and Alicia Y. Toledano. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and JNCI Journal of the National Cancer Institute.
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.