William F. Auffermann

1.5k citations
44 papers · 1.0k indexed · 1 hit paper · h-index 16
Topics
Radiology practices and education (18 papers)Clinical Reasoning and Diagnostic Skills (8 papers)Cardiac Imaging and Diagnostics (6 papers)

In The Last Decade

William F. Auffermann

43 papers receiving 1.0k citations

Hit Papers

Deep Learning in Radiology20182026202020232018100200300

Peers

William F. Auffermann
Comparison fields: 5 of 123
  • Radiology, Nuclear Medicine and Imaging 603
  • Pulmonary and Respiratory Medicine 176
  • Atomic and Molecular Physics, and Optics 154
  • Biomedical Engineering 152
  • Artificial Intelligence 147
Replace Joseph Mammarappallil with:
Joseph Mammarappallil United States
Daniel Giese Germany
Francine L. Jacobson United States
H L Kundel United States
Akshay Chaudhari United States
Daiju Ueda Japan
Srini Tridandapani United States
Tarik K. Alkasab United States
Alice Yu United States
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William F. Auffermann relative to Joseph Mammarappallil United States Joseph Mammarappallil's profile →
Citations per field
00.5×5.8×
Joseph Mammarappallil · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 1
3 17
4 31
5 3
6 9
7 2
8 52
9 16
10 72
11 6
12 9
13 1
14 19
15 45
16 14
17 4
18 1
19 143
20 20

About William F. Auffermann

William F. Auffermann is a scholar working on Family Practice, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiology practices and education (18 papers), Clinical Reasoning and Diagnostic Skills (8 papers) and Cardiac Imaging and Diagnostics (6 papers). The work is most often cited by research in Health Informatics (137 citations), Family Practice (63 citations) and Radiology, Nuclear Medicine and Imaging (603 citations). William F. Auffermann has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Srini Tridandapani, Omer A. Awan, Andrew Colucci, Akash P. Kansagra, Morgan P. McBee, Nadja Kadom, Comeron W. Ghobadi, Brent P. Little, Shing-Chung Ngan and Xiaoping Hu. Their work appears in journals such as NeuroImage, CHEST Journal and Magnetic Resonance in Medicine.

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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