Brian Caffo

1.3k citations
31 papers · 788 indexed · h-index 14

Impact in

Papers in

Brian Caffo

29 papers receiving 768 citations

Peers

Brian Caffo
Comparison fields: 5 of 145
  • Statistics and Probability 163
  • Computational Mathematics 8
  • Cognitive Neuroscience 237
  • Radiology, Nuclear Medicine and Imaging 160
  • Rehabilitation 44
Replace Huaihou Chen with:
Huaihou Chen United States
Mark Fiecas United States
Allison P. Anderson United States
Eduardo Henrik Aubert Cuba
Jon Anderson United Kingdom
Michelle Liou Taiwan
Tian Siva Tian United States
James Wilson United States
Jianfeng Zhang China
S. McKay Curtis United States
Brian Caffo relative to Huaihou Chen United States Huaihou Chen's profile →
Citations per field
00.5×4.9×
Huaihou Chen · 1×
Citations per year

Countries citing papers authored by Brian Caffo

Since Specialization
Citations

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

Fields of papers citing papers by Brian Caffo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Caffo. 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 Brian Caffo. The network helps show where Brian Caffo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202132
2 202022
3 20194
4 201753
5 20176
6 201560
7 20151
8 20122
9 20126
10 201228
11 201236
12 201215
13 201294
14 20116
15 201142
16
For peer review only Computerized lung sound analysis to improve the specificity of pediatric pneumonia diagnosis in resource-poor settings:
20111
17
A unified approach to modeling multivariate binary data using copulas over partitions
20103
18 20093
19 200787
20 2001137

About Brian Caffo

Brian Caffo is a scholar working on Issues, ethics and legal aspects, Cognitive Neuroscience, Statistics and Probability, General Decision Sciences and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 788 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced MRI Techniques and Applications (3 papers), MRI in cancer diagnosis (2 papers), Traumatic Brain Injury Research (2 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics and Probability (163 citations), Computational Mathematics (8 citations), Cognitive Neuroscience (237 citations), Radiology, Nuclear Medicine and Imaging (160 citations) and Rehabilitation (44 citations). Brian Caffo has collaborated with scholars based in United States, France and China. Frequent co-authors include Alan Agresti, Jonathan Hartzel, Ciprian M. Crainiceanu, Christos Davatzikos, Brian S. Schwartz, Jeff Goldsmith, Jennifer F. Bobb, Clinton D. Kilts, F. DuBois Bowman and Susan Spear Bassett. Their work appears in journals such as NeuroImage, Electronic Journal of Statistics, Human Brain Mapping, Alzheimer s & Dementia and Physiotherapy.

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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