Shane Barratt

747 total citations
8 papers, 150 citations indexed

About

Shane Barratt is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shane Barratt has authored 8 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Control and Systems Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Shane Barratt's work include Face and Expression Recognition (2 papers), Statistical Methods and Inference (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Shane Barratt is often cited by papers focused on Face and Expression Recognition (2 papers), Statistical Methods and Inference (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Shane Barratt collaborates with scholars based in United States and Israel. Shane Barratt's co-authors include Stephen Boyd, Mykel J. Kochenderfer, Brandon Amos, Steven Diamond, Akshay Agrawal, J. Zico Kolter, Alex X. Lee, Pieter Abbeel and Walaa M. Moursi and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Machine Learning Research and Journal of Global Optimization.

In The Last Decade

Shane Barratt

7 papers receiving 145 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shane Barratt United States	5	65	54	32	21	20	8	150
Andrew Weinert United States	9	194 3.0×	49 0.9×	49 1.5×	36 1.7×	31 1.6×	29	256
Buu Phan Canada	3	44 0.7×	23 0.4×	40 1.3×	38 1.8×	13 0.7×	4	158
Jia Hou China	8	63 1.0×	21 0.4×	34 1.1×	12 0.6×	25 1.3×	26	302
Habiba A. Ibrahim Egypt	2	100 1.5×	62 1.1×	21 0.7×	79 3.8×	4 0.2×	2	194
Víctor Jiménez Spain	7	25 0.4×	78 1.4×	33 1.0×	41 2.0×	4 0.2×	15	147
David Espès France	8	28 0.4×	44 0.8×	10 0.3×	11 0.5×	9 0.5×	31	153
Jonah Philion Canada	5	10 0.2×	30 0.6×	57 1.8×	67 3.2×	17 0.8×	5	143
Ibrahim Sobh Egypt	6	15 0.2×	54 1.0×	59 1.8×	77 3.7×	6 0.3×	15	159
Cijo Jose Switzerland	4	26 0.4×	77 1.4×	23 0.7×	130 6.2×	9 0.5×	5	188
Leo P. Espindle United States	7	270 4.2×	111 2.1×	82 2.6×	28 1.3×	52 2.6×	10	311

Countries citing papers authored by Shane Barratt

Since Specialization

Citations

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

Fields of papers citing papers by Shane Barratt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shane Barratt

This figure shows the co-authorship network connecting the top 25 collaborators of Shane Barratt. A scholar is included among the top collaborators of Shane Barratt 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 Shane Barratt. Shane Barratt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Barratt, Shane, et al.. (2023). Convex optimization over risk-neutral probabilities. Optimization and Engineering. 25(1). 283–299.

2.

Barratt, Shane & Stephen Boyd. (2022). Covariance prediction via convex optimization. Optimization and Engineering. 24(3). 2045–2078. 3 indexed citations

3.

Barratt, Shane & Stephen Boyd. (2022). Fitting feature-dependent Markov chains. Journal of Global Optimization. 87(2-4). 329–346. 3 indexed citations

4.

Barratt, Shane, et al.. (2021). A Distributed Method for Fitting Laplacian Regularized Stratified Models. Journal of Machine Learning Research. 22(60). 1–37. 4 indexed citations

5.

Agrawal, Akshay, et al.. (2019). Differentiating through a cone program. 2019(2). 32 indexed citations

6.

Agrawal, Akshay, Brandon Amos, Shane Barratt, et al.. (2019). Differentiable Convex Optimization Layers. arXiv (Cornell University). 32. 9558–9570. 30 indexed citations

7.

Barratt, Shane, Mykel J. Kochenderfer, & Stephen Boyd. (2018). Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data. IEEE Transactions on Intelligent Transportation Systems. 20(9). 3536–3545. 69 indexed citations

8.

Lee, Alex X., et al.. (2015). A non-rigid point and normal registration algorithm with applications to learning from demonstrations. 935–942. 9 indexed citations

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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