Jackson Gorham

411 total citations
9 papers, 69 citations indexed

About

Jackson Gorham is a scholar working on Statistics and Probability, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Jackson Gorham has authored 9 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 2 papers in Condensed Matter Physics. Recurrent topics in Jackson Gorham's work include Markov Chains and Monte Carlo Methods (5 papers), Random Matrices and Applications (4 papers) and Statistical Methods and Bayesian Inference (2 papers). Jackson Gorham is often cited by papers focused on Markov Chains and Monte Carlo Methods (5 papers), Random Matrices and Applications (4 papers) and Statistical Methods and Bayesian Inference (2 papers). Jackson Gorham collaborates with scholars based in United States, United Kingdom and Belgium. Jackson Gorham's co-authors include Lester Mackey, Matthew Kahle, Jeremy K. Mason, Gunnar Carlsson, Chris J. Oates, François‐Xavier Briol, Robert E. Gaunt, Christophe Ley, Arthur Gretton and Gesine Reinert and has published in prestigious journals such as Statistical Science, Physical Review E and arXiv (Cornell University).

In The Last Decade

Jackson Gorham

9 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jackson Gorham United States	5	32	17	13	13	8	9	69
Riddhipratim Basu India	7	104 3.3×	18 1.1×	84 6.5×	8 0.6×	20 2.5×	20	118
Ori Gurel-Gurevich Israel	5	20 0.6×	4 0.2×	33 2.5×	12 0.9×	14 1.8×	15	58
Dmitry Zaporozhets Russia	6	18 0.6×	8 0.5×	37 2.8×	7 0.5×	2 0.3×	25	100
Augustin-Louis Cauchy	2	10 0.3×	11 0.6×	5 0.4×	10 0.8×		7	57
Melanie Matchett Wood United States	8	24 0.8×	17 1.0×	90 6.9×	29 2.2×	4 0.5×	17	130
Miklós Abért Hungary	8	17 0.5×	14 0.8×	148 11.4×	53 4.1×	6 0.8×	28	247
Shirshendu Ganguly United States	7	120 3.8×	23 1.4×	109 8.4×	13 1.0×	29 3.6×	34	156
Bridget Eileen Tenner United States	8	10 0.3×	31 1.8×	26 2.0×	67 5.2×		33	167
Perla Sousi United Kingdom	7	75 2.3×	12 0.7×	113 8.7×	10 0.8×	28 3.5×	23	151
Stephen Melczer Canada	6	5 0.2×	11 0.6×	42 3.2×	40 3.1×	1 0.1×	21	89

Countries citing papers authored by Jackson Gorham

Since Specialization

Citations

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

Fields of papers citing papers by Jackson Gorham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jackson Gorham

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

All Works

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9 of 9 papers shown

1.

Briol, François‐Xavier, Robert E. Gaunt, Jackson Gorham, et al.. (2022). Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments. Statistical Science. 38(1). 16 indexed citations

2.

Briol, François‐Xavier, Robert E. Gaunt, Jackson Gorham, et al.. (2021). Stein's Method Meets Statistics: A Review of Some Recent Developments. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 3 indexed citations

3.

Teymur, Onur, et al.. (2021). Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. Kent Academic Repository (University of Kent). 1027–1035. 2 indexed citations

4.

Briol, François‐Xavier, Robert E. Gaunt, Jackson Gorham, et al.. (2021). Stein's Method Meets Computational Statistics: A Review of Some Recent Developments. arXiv (Cornell University). 1 indexed citations

5.

Briol, François‐Xavier, et al.. (2019). Stein Point Markov Chain Monte Carlo. arXiv (Cornell University). 1011–1021. 5 indexed citations

6.

Gorham, Jackson & Lester Mackey. (2017). Measuring Sample Quality with Kernels. arXiv (Cornell University). 1292–1301. 5 indexed citations

7.

Gorham, Jackson & Lester Mackey. (2015). Measuring sample quality with Stein's method. Neural Information Processing Systems. 28. 226–234. 11 indexed citations

8.

Carlsson, Gunnar, Jackson Gorham, Matthew Kahle, & Jeremy K. Mason. (2012). Computational topology for configuration spaces of hard disks. Physical Review E. 85(1). 11303–11303. 24 indexed citations

9.

Gorham, Jackson, et al.. (2012). Publisher's Note: Computational topology for configuration spaces of hard disks [Phys. Rev. E85, 011303 (2012)]. Physical Review E. 85(1). 2 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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