Carey E. Priebe
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- Complex Network Analysis Techniques 49
- Statistics and Probability top 1%
- Statistical Methods and Inference 20
- Artificial Intelligence top 1%
- Bayesian Methods and Mixture Models 30
- Advanced Graph Neural Networks 22
- Neural Networks and Applications 21
- Computational Mathematics top 5%
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- Face and Expression Recognition 24
- Image Retrieval and Classification Techniques 18
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- Functional Brain Connectivity Studies 22
- Co-authors
- David J. MarchetteYoungser ParkMinh TangJoshua T VogelsteinDaniel L. SussmanDonniell E. FishkindVince LyzinskiJohn M. Conroy
- Journals
- Computational Statistics & Data Analysis (12 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (12 papers)Journal of Computational and Graphical Statistics (11 papers)
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Carey E. Priebe
207 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Statistical and Nonlinear Physics 746
- Statistics and Probability 407
- Artificial Intelligence 1.4k
- Computational Mathematics 25
- Computer Vision and Pattern Recognition 746
Countries citing papers authored by Carey E. Priebe
This map shows the geographic impact of Carey E. Priebe'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 Carey E. Priebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carey E. Priebe more than expected).
Fields of papers citing papers by Carey E. Priebe
This network shows the impact of papers produced by Carey E. Priebe. 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 Carey E. Priebe. The network helps show where Carey E. Priebe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carey E. Priebe, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | The connectome of an insect brainbreakdown → | 2023 | 155 |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 32 | |
| 11 | 2021 | 4 | |
| 12 | On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates. | 2020 | 1 |
| 13 | 2019 | 21 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 20 | |
| 16 | 2018 | 17 | |
| 17 | 2015 | 130 | |
| 18 | 2014 | 147 | |
| 19 | 2000 | 17 | |
| 20 | 1999 | 7 |
About Carey E. Priebe
Carey E. Priebe is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Vision and Pattern Recognition and Space and Planetary Science, having authored 217 papers that have together received 3.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (49 papers), Bayesian Methods and Mixture Models (30 papers), Face and Expression Recognition (24 papers), Functional Brain Connectivity Studies (22 papers), Advanced Graph Neural Networks (22 papers), Neural Networks and Applications (21 papers), Statistical Methods and Inference (20 papers) and Image Retrieval and Classification Techniques (18 papers). The work is most often cited by research in Statistical and Nonlinear Physics (746 citations), Statistics and Probability (407 citations), Artificial Intelligence (1.4k citations), Computational Mathematics (25 citations) and Computer Vision and Pattern Recognition (746 citations). Carey E. Priebe has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include David J. Marchette, Youngser Park, Minh Tang, Joshua T Vogelstein, Daniel L. Sussman, Donniell E. Fishkind, Vince Lyzinski, John M. Conroy, Jeffrey L. Solka and Marta Zlatic. Their work appears in journals such as Computational Statistics & Data Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computational and Graphical Statistics, Journal of the American Statistical Association and Journal of Classification.
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.