William F. Auffermann

1.5k total citations · 1 hit paper
44 papers, 1.0k citations indexed

About

William F. Auffermann is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Family Practice. According to data from OpenAlex, William F. Auffermann has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Surgery and 8 papers in Family Practice. Recurrent topics in William F. Auffermann's work include Radiology practices and education (18 papers), Clinical Reasoning and Diagnostic Skills (8 papers) and Cardiac Imaging and Diagnostics (6 papers). William F. Auffermann is often cited by papers focused on Radiology practices and education (18 papers), Clinical Reasoning and Diagnostic Skills (8 papers) and Cardiac Imaging and Diagnostics (6 papers). William F. Auffermann collaborates with scholars based in United States, Canada and Australia. William F. Auffermann's co-authors include Srini Tridandapani, Omer A. Awan, Andrew Colucci, Akash P. Kansagra, Comeron W. Ghobadi, Nadja Kadom, Morgan P. McBee, Xiaoping Hu, Brent P. Little and Shing-Chung Ngan and has published in prestigious journals such as NeuroImage, CHEST Journal and Magnetic Resonance in Medicine.

In The Last Decade

William F. Auffermann

43 papers receiving 1.0k citations

Hit Papers

Deep Learning in Radiology 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning in Radiology
    2018 329 citations Omer A. Awan, Andrew Colucci et al. Academic Radiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William F. Auffermann United States 16 603 176 154 152 147 44 1.0k
Joseph Mammarappallil United States 14 292 0.5× 167 0.9× 238 1.5× 42 0.3× 61 0.4× 47 644
Daniel Giese Germany 20 1.2k 2.1× 509 2.9× 156 1.0× 218 1.4× 118 0.8× 89 2.3k
Daiju Ueda Japan 26 838 1.4× 286 1.6× 224 1.5× 287 1.9× 378 2.6× 123 2.3k
Francine L. Jacobson United States 23 1.1k 1.8× 1.5k 8.6× 182 1.2× 310 2.0× 228 1.6× 74 2.5k
Akshay Chaudhari United States 23 953 1.6× 73 0.4× 54 0.4× 477 3.1× 353 2.4× 105 2.0k
Jin K. Kim Canada 18 129 0.2× 248 1.4× 115 0.7× 93 0.6× 73 0.5× 138 1.3k
Ankur M. Doshi United States 19 544 0.9× 322 1.8× 33 0.2× 101 0.7× 57 0.4× 60 973
H L Kundel United States 20 837 1.4× 410 2.3× 22 0.1× 129 0.8× 159 1.1× 40 1.3k
Clifton R. Haider United States 19 359 0.6× 105 0.6× 51 0.3× 167 1.1× 56 0.4× 71 928
Srini Tridandapani United States 17 699 1.2× 204 1.2× 39 0.3× 334 2.2× 149 1.0× 90 1.3k

Countries citing papers authored by William F. Auffermann

Since Specialization
Citations

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

Fields of papers citing papers by William F. Auffermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William F. Auffermann. 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 William F. Auffermann. The network helps show where William F. Auffermann may publish in the future.

Co-authorship network of co-authors of William F. Auffermann

This figure shows the co-authorship network connecting the top 25 collaborators of William F. Auffermann. A scholar is included among the top collaborators of William F. Auffermann 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 William F. Auffermann. William F. Auffermann 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
1.
Kok, Ellen M., Diederick C. Niehorster, Anouk van der Gijp, et al.. (2024). The effects of gaze-display feedback on medical students’ self-monitoring and learning in radiology. Advances in Health Sciences Education. 29(5). 1689–1710. 2 indexed citations
2.
Stoddard, Greg, Peter Anderson, Anna P. Newman, et al.. (2024). Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography. BMC Medical Imaging. 24(1). 350–350. 1 indexed citations
3.
Auffermann, William F., et al.. (2023). The Use of Virtual Reality in Teaching Three-Dimensional Anatomy and Pathology on CT. Journal of Digital Imaging. 36(3). 1279–1284. 17 indexed citations
4.
Auffermann, William F., Phuong-Anh T. Duong, Vivek Srikumar, et al.. (2022). REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays. Scientific Data. 9(1). 350–350. 31 indexed citations
5.
Auffermann, William F., et al.. (2021). RadSimPE — a Radiology Workstation Simulator for Perceptual Education. Journal of Digital Imaging. 34(4). 1059–1066. 3 indexed citations
6.
Auffermann, William F., et al.. (2020). Artificial Intelligence in Cardiopulmonary Imaging. 2. 65–79. 2 indexed citations
7.
Fawver, Bradley, Trafton Drew, Megan K. Mills, et al.. (2020). Seeing isn’t necessarily believing: Misleading contextual information influences perceptual-cognitive bias in radiologists.. Journal of Experimental Psychology Applied. 26(4). 579–592. 9 indexed citations
8.
Auffermann, William F., Trafton Drew, & Elizabeth A. Krupinski. (2020). Special Section Guest Editorial: Medical Image Perception and Observer Performance. Journal of Medical Imaging. 7(2). 1–1. 1 indexed citations
9.
Carrigan, Ann, William F. Auffermann, Megan K. Mills, et al.. (2020). The invisible breast cancer: Experience does not protect against inattentional blindness to clinically relevant findings in radiology. Psychonomic Bulletin & Review. 28(2). 503–511. 20 indexed citations
10.
Drew, Trafton, et al.. (2019). Perceptual training: learning versus attentional shift. Journal of Medical Imaging. 7(2). 1–1. 2 indexed citations
11.
Awan, Omer A., James M. Brian, Joseph S. Fotos, et al.. (2019). Making Learning Fun: Gaming in Radiology Education. Academic Radiology. 26(8). 1127–1136. 52 indexed citations
12.
Degnan, Andrew J., Peter Hardy, Elizabeth A. Krupinski, et al.. (2018). Perceptual and Interpretive Error in Diagnostic Radiology—Causes and Potential Solutions. Academic Radiology. 26(6). 833–845. 72 indexed citations
13.
Tridandapani, Srini, et al.. (2018). An Adaptive Seismocardiography (SCG)-ECG Multimodal Framework for Cardiac Gating Using Artificial Neural Networks. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–11. 16 indexed citations
14.
Auffermann, William F., et al.. (2017). Reducing STAT Portable Chest Radiograph Turnaround Times: A Pilot Study. Current Problems in Diagnostic Radiology. 47(3). 156–160. 6 indexed citations
15.
Newell, Mary S., et al.. (2017). Wavelet-based scaling indices for breast cancer diagnostics. Statistics in Medicine. 36(12). 1989–2000. 7 indexed citations
16.
Bernheim, Adam, William F. Auffermann, & Arthur E. Stillman. (2016). The Dubious Value of Coronary Calcium Scoring on Lung Cancer Screening CT. Journal of the American College of Radiology. 14(3). 343–344. 9 indexed citations
17.
Chetlen, Alison, Mishal Mendiratta‐Lala, Linda Probyn, et al.. (2015). Conventional Medical Education and the History of Simulation in Radiology. Academic Radiology. 22(10). 1252–1267. 45 indexed citations
18.
Kraft, Colleen S., et al.. (2015). A 68-Year-Old Musician With Cough, Wheezing, and a Lung Mass. CHEST Journal. 148(6). e181–e183. 1 indexed citations
19.
Auffermann, William F., Alison Chetlen, Andrew Colucci, et al.. (2014). Online Social Networking for Radiology. Academic Radiology. 22(1). 3–13. 14 indexed citations
20.
Ngan, Shing-Chung, Essa Yacoub, William F. Auffermann, & Xiaoping Hu. (2002). Node merging in Kohonen’s self-organizing mapping of fMRI data. Artificial Intelligence in Medicine. 25(1). 19–33. 20 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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