Jesse Windle

1.1k total citations · 1 hit paper
6 papers, 566 citations indexed

About

Jesse Windle is a scholar working on Artificial Intelligence, Statistics and Probability and Information Systems. According to data from OpenAlex, Jesse Windle has authored 6 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Information Systems. Recurrent topics in Jesse Windle's work include Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Methods and Inference (2 papers). Jesse Windle is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Methods and Inference (2 papers). Jesse Windle collaborates with scholars based in United States. Jesse Windle's co-authors include James G. Scott, Nicholas G. Polson, Carlos M. Carvalho, Julia Olsen and L. Sun and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Bayesian Analysis.

In The Last Decade

Jesse Windle

6 papers receiving 547 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables

2013 480 citations Nicholas G. Polson, James G. Scott et al. Journal of the American Statistical Association profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesse Windle United States	4	259	253	64	55	38	6	566
Reza Modarres United States	16	418 1.6×	197 0.8×	76 1.2×	53 1.0×	34 0.9×	81	940
Adam Rothman United States	9	322 1.2×	145 0.6×	86 1.3×	63 1.1×	44 1.2×	26	657
Guido Consonni Italy	12	357 1.4×	287 1.1×	69 1.1×	34 0.6×	21 0.6×	53	567
Julio Michael Stern Brazil	15	295 1.1×	227 0.9×	40 0.6×	59 1.1×	34 0.9×	100	744
Matthew A. Nunes United Kingdom	9	160 0.6×	181 0.7×	33 0.5×	36 0.7×	44 1.2×	27	450
Max G’Sell United States	8	200 0.8×	214 0.8×	64 1.0×	26 0.5×	28 0.7×	13	570
Nicholas A. James United States	4	131 0.5×	88 0.3×	54 0.8×	50 0.9×	21 0.6×	7	477
Jaeyong Lee South Korea	14	353 1.4×	242 1.0×	69 1.1×	33 0.6×	29 0.8×	66	662
Minh‐Ngoc Tran Australia	10	236 0.9×	221 0.9×	25 0.4×	36 0.7×	16 0.4×	39	408
Hien D. Nguyen Australia	13	113 0.4×	210 0.8×	38 0.6×	22 0.4×	23 0.6×	70	583

Countries citing papers authored by Jesse Windle

Since Specialization

Citations

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

Fields of papers citing papers by Jesse Windle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse Windle

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Windle. A scholar is included among the top collaborators of Jesse Windle 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 Jesse Windle. Jesse Windle 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:

6 of 6 papers shown

1.

Windle, Jesse & Carlos M. Carvalho. (2014). A Tractable State-Space Model for Symmetric Positive-Definite Matrices. Bayesian Analysis. 9(4). 12 indexed citations

2.

Windle, Jesse, Carlos M. Carvalho, James G. Scott, & L. Sun. (2013). Polya-Gamma Data Augmentation for Dynamic Models. arXiv (Cornell University). 1 indexed citations

3.

Polson, Nicholas G., James G. Scott, & Jesse Windle. (2013). The Bayesian Bridge. Journal of the Royal Statistical Society Series B (Statistical Methodology). 76(4). 713–733. 64 indexed citations

4.

Polson, Nicholas G., James G. Scott, & Jesse Windle. (2013). Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables. Journal of the American Statistical Association. 108(504). 1339–1349. 480 indexed citations breakdown →

5.

Olsen, Julia, et al.. (2005). Breaking the Holiday Inn Priority Club CAPTCHA. College Mathematics Journal. 36(2). 101–101. 2 indexed citations

6.

Windle, Jesse, et al.. (2005). Breaking the Holiday Inn Priority Club CAPTCHA. College Mathematics Journal. 36(2). 101–108. 7 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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