Carey E. Priebe

212 papers receiving 3.6k citations

Carey E. Priebe's Hit Papers

The connectome of an insect brain 2023 · 171 citations
1710+3+6Years since publication100200300

Peers

Carey E. Priebe
Comparison fields: 5 of 169
  • Statistical and Nonlinear Physics 764
  • Statistics and Probability 417
  • Computational Mathematics 27
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 744
Replace Boaz Nadler with:
Boaz Nadler Israel
Stéphane Lafon United States
Eric D. Kolaczyk United States
Desmond J. Higham United Kingdom
Jürgen Jost Germany
Naftali Tishby Israel
Graeme Mitchison United Kingdom
Shuiwang Ji United States
Joshua T Vogelstein United States
Gideon Dror Israel
Carey E. Priebe relative to Boaz Nadler Israel Boaz Nadler's profile →
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Countries citing papers authored by Carey E. Priebe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Carey E. Priebe Line = papers co-authored together Carey E. Priebe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The complete connectome of a learning and memory centre in an insect brain
Hit paper breakdown →
2017304
2 2005190
3
The connectome of an insect brain
Hit paper breakdown →
2023171
4 2014148
5 2015131
6 2012121
7 1993119
8 2010103
9 201580
10 201569
11 200160
12 201457
13 201451
14
Statistical inference on random dot product graphs: a survey
201847
15 201347
16 201647
17 200346
18 199443
19 201842
20 201541

About Carey E. Priebe

Carey E. Priebe is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Statistics and Probability and Cognitive Neuroscience, having authored 220 papers that have together received 3.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (50 papers), Bayesian Methods and Mixture Models (30 papers), Face and Expression Recognition (24 papers), Advanced Graph Neural Networks (24 papers), Functional Brain Connectivity Studies (23 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 (764 citations), Statistics and Probability (417 citations), Computational Mathematics (27 citations), Artificial Intelligence (1.4k citations) and Computer Vision and Pattern Recognition (744 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 IEEE Transactions on Pattern Analysis and Machine Intelligence, Computational Statistics & Data Analysis, 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.

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