Timothy M. Bateman

14.2k total citations
231 papers, 6.2k citations indexed

About

Timothy M. Bateman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Timothy M. Bateman has authored 231 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Radiology, Nuclear Medicine and Imaging, 78 papers in Cardiology and Cardiovascular Medicine and 65 papers in Biomedical Engineering. Recurrent topics in Timothy M. Bateman's work include Cardiac Imaging and Diagnostics (172 papers), Advanced MRI Techniques and Applications (85 papers) and Medical Imaging Techniques and Applications (83 papers). Timothy M. Bateman is often cited by papers focused on Cardiac Imaging and Diagnostics (172 papers), Advanced MRI Techniques and Applications (85 papers) and Medical Imaging Techniques and Applications (83 papers). Timothy M. Bateman collaborates with scholars based in United States, Canada and Switzerland. Timothy M. Bateman's co-authors include James H. O’Keefe, Gary V. Heller, James A. Case, S. James Cullom, A. Iain McGhie, Daniel S. Berman, Carrie Barnhart, Richard J. Gray, Jack M. Matloff and Randall C. Thompson and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Timothy M. Bateman

219 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy M. Bateman United States	46	4.5k	2.7k	1.5k	1.3k	271	231	6.2k
John J. Mahmarian United States	40	4.4k 1.0×	2.8k 1.0×	1.4k 0.9×	1.4k 1.0×	229 0.8×	153	5.6k
Gary V. Heller United States	42	5.9k 1.3×	3.6k 1.3×	1.5k 1.0×	1.3k 1.0×	154 0.6×	195	7.3k
Ami E. Iskandrian United States	47	5.0k 1.1×	4.8k 1.7×	1.1k 0.7×	1.7k 1.3×	341 1.3×	225	7.9k
Harvey S. Hecht United States	38	4.1k 0.9×	2.9k 1.1×	1.2k 0.8×	2.0k 1.5×	158 0.6×	129	5.7k
Robert C. Hendel United States	35	3.0k 0.7×	2.4k 0.9×	891 0.6×	1.3k 1.0×	605 2.2×	121	4.9k
S. Richard Underwood United Kingdom	33	2.7k 0.6×	2.7k 1.0×	627 0.4×	1.1k 0.8×	153 0.6×	128	4.7k
Terrence D. Ruddy Canada	41	4.7k 1.0×	3.3k 1.2×	1.4k 0.9×	1.4k 1.1×	413 1.5×	242	7.2k
Eric R. Powers United States	43	2.2k 0.5×	3.5k 1.3×	764 0.5×	2.5k 1.9×	529 2.0×	117	5.7k
Paul Knaapen Netherlands	45	4.0k 0.9×	3.6k 1.3×	864 0.6×	2.4k 1.8×	324 1.2×	301	6.2k
Luciano Agati Italy	31	1.7k 0.4×	2.3k 0.8×	504 0.3×	923 0.7×	163 0.6×	124	3.3k

Countries citing papers authored by Timothy M. Bateman

Since Specialization

Citations

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

Fields of papers citing papers by Timothy M. Bateman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy M. Bateman

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

All Works

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20 of 20 papers shown

Shanbhag, Aakash, Robert J.H. Miller, Mark A. Lemley, et al.. (2025). General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI. JACC. Cardiovascular imaging. 18(11). 1235–1246. 1 indexed citations

Thompson, Randall C., et al.. (2025). National trends in radiopharmaceutical use for the diagnosis of cardiac amyloidosis from 2019 to 2024. Journal of Nuclear Cardiology. 54. 102502–102502.

Miller, Robert J.H., Paul Kavanagh, Mark A. Lemley, et al.. (2025). Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging. Journal of Nuclear Medicine. 66(4). 648–653. 1 indexed citations

Sperry, Brett W., Randall C. Thompson, Andrew J. Einstein, et al.. (2024). Influence of Body Mass Index on Radiation Exposure Across Imaging Modalities in the Evaluation of Chest Pain. Journal of the American Heart Association. 13(8). e033566–e033566. 3 indexed citations

Williams, Michelle C., Aakash Shanbhag, Jianhang Zhou, et al.. (2024). Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry. European Heart Journal - Cardiovascular Imaging. 25(7). 976–985. 9 indexed citations

Patel, Krishna, Poghni Peri-Okonny, A. Iain McGhie, et al.. (2024). Prognostic value of transient ischemic dilation on Rubidium-82 positron emission tomography myocardial perfusion imaging. Journal of Nuclear Cardiology. 44. 102084–102084.

Horgan, Stephen, Rupa Sanghani, Mouaz H. Al‐Mallah, et al.. (2023). ASNC model coverage policy: 2023 cardiac positron emission tomography. Journal of Nuclear Cardiology. 30(5). 2114–2185. 1 indexed citations

Miller, Robert J.H., Tali Sharir, Andrew J. Einstein, et al.. (2022). Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. Computers in Biology and Medicine. 145. 105449–105449. 21 indexed citations

Tamarappoo, Balaji, Yuka Otaki, Tali Sharir, et al.. (2022). Differences in Prognostic Value of Myocardial Perfusion Single-Photon Emission Computed Tomography Using High-Efficiency Solid-State Detector Between Men and Women in a Large International Multicenter Study. Circulation Cardiovascular Imaging. 15(6). e012741–e012741. 2 indexed citations

10.

Bateman, Timothy M., Gary V. Heller, Rob Beanlands, et al.. (2021). Practical guide for interpreting and reporting cardiac PET measurements of myocardial blood flow: an Information Statement from the American Society of Nuclear Cardiology, and the Society of Nuclear Medicine and Molecular Imaging. Journal of Nuclear Cardiology. 28(2). 768–787. 21 indexed citations

11.

Hu, Lien-Hsin, Robert J.H. Miller, Tali Sharir, et al.. (2020). Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT. European Heart Journal - Cardiovascular Imaging. 22(6). 705–714. 36 indexed citations

12.

Schindler, Thomas H., Timothy M. Bateman, Daniel S. Berman, et al.. (2020). Appropriate Use Criteria for PET Myocardial Perfusion Imaging. Journal of Nuclear Medicine. 61(8). 1221–1265. 35 indexed citations

13.

Badarin, Firas Al, Paul S. Chan, John A. Spertus, et al.. (2019). Temporal trends in test utilization and prevalence of ischaemia with positron emission tomography myocardial perfusion imaging. European Heart Journal - Cardiovascular Imaging. 21(3). 318–325. 8 indexed citations

14.

Han, Donghee, Alan Rozanski, Heidi Gransar, et al.. (2019). Myocardial Ischemic Burden and Differences in Prognosis Among Patients With and Without Diabetes: Results From the Multicenter International REFINE SPECT Registry. Diabetes Care. 43(2). 453–459. 16 indexed citations

15.

Bateman, Timothy M., Vasken Dilsizian, Rob Beanlands, et al.. (2016). American Society of Nuclear Cardiology and Society of Nuclear Medicine and Molecular Imaging Joint Position Statement on the Clinical Indications for Myocardial Perfusion PET. Journal of Nuclear Cardiology. 23(5). 1227–1231. 25 indexed citations

16.

Courter, Staci, et al.. (2010). Abstract 14503: Prevalence and Correlates of Impaired Myocardial Blood Flow Reserve in Patients With Normal Myocardial Perfusion Rubidium-82 Positron Emission Tomography. Circulation. 122. 1 indexed citations

17.

Hertenstein, Ginger K., et al.. (2006). Best patient preparation before and during radionuclide myocardial perfusion imaging studies. Journal of Nuclear Cardiology. 13(1). 98–110. 9 indexed citations

18.

Dilsizian, Vasken, Timothy M. Bateman, Steven R. Bergmann, et al.. (2005). Metabolic Imaging With β-Methyl- p -[ ¹²³ I]-Iodophenyl-Pentadecanoic Acid Identifies Ischemic Memory After Demand Ischemia. Circulation. 112(14). 2169–2174. 146 indexed citations

19.

Heller, Gary V., Timothy M. Bateman, Elias H. Botvinick, et al.. (2002). Value of attenuation correction in interpretation of stress only exercise Tc-99m sestamibi SPECT imaging: results of a multicenter trial. Journal of the American College of Cardiology. 39. 343–343. 4 indexed citations

20.

O’Keefe, James H., Cindy L. Grines, Marcus A. DeWood, et al.. (1996). Poloxamer-188 as an adjunct to primary percutaneous transluminal coronary angioplasty for acute myocardial infarction. The American Journal of Cardiology. 78(7). 747–750. 31 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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