Brian Caffo
- Cognitive Neuroscience top 0.5%
- Functional Brain Connectivity Studies 67
- Neural dynamics and brain function 30
- EEG and Brain-Computer Interfaces 16
- Endocrine and Autonomic Systems top 0.5%
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 23
- Statistical Methods and Bayesian Inference 22
- Statistical Methods in Clinical Trials 13
- Computational Mathematics top 2%
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- Advanced Neuroimaging Techniques and Applications 31
- Advanced MRI Techniques and Applications 24
- Co-authors
- Naresh M. PunjabiJames J. PekarAlan AgrestiCiprian M. CrainiceanuStewart H. MostofskyJonathan M. SametAnita D. BarberMartin A. Lindquist
- Journals
- NeuroImage (12 papers)Biostatistics (8 papers)Journal of the American Statistical Association (8 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Brian Caffo
220 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Cognitive Neuroscience 3.6k
- Endocrine and Autonomic Systems 1.2k
- Statistics and Probability 1.4k
- Computational Mathematics 56
- Experimental and Cognitive Psychology 1.1k
Countries citing papers authored by Brian Caffo
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 111 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 19 | |
| 15 | Robust portfolio optimization | 2015 | 6 |
| 16 | 2015 | 140 | |
| 17 | 2015 | 10 | |
| 18 | 2009 | 333 | |
| 19 | 2009 | 1 | |
| 20 | Ascent-Based Monte Carlo EM | 2003 | 18 |
About Brian Caffo
Brian Caffo is a scholar working on Statistics and Probability, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Virology, having authored 228 papers that have together received 10.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (67 papers), Advanced Neuroimaging Techniques and Applications (31 papers), Neural dynamics and brain function (30 papers), Advanced MRI Techniques and Applications (24 papers), Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (22 papers), EEG and Brain-Computer Interfaces (16 papers) and Statistical Methods in Clinical Trials (13 papers). The work is most often cited by research in Cognitive Neuroscience (3.6k citations), Endocrine and Autonomic Systems (1.2k citations), Statistics and Probability (1.4k citations), Computational Mathematics (56 citations) and Experimental and Cognitive Psychology (1.1k citations). Brian Caffo has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Naresh M. Punjabi, James J. Pekar, Alan Agresti, Ciprian M. Crainiceanu, Stewart H. Mostofsky, Jonathan M. Samet, Anita D. Barber, Martin A. Lindquist, Mary Beth Nebel and Daniel S. Reich. Their work appears in journals such as NeuroImage, Biostatistics, Journal of the American Statistical Association, Computational Statistics & Data Analysis and Human Brain Mapping.
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.