Luke Bornn

469 total citations
21 papers, 258 citations indexed

About

Luke Bornn is a scholar working on Economics and Econometrics, Orthopedics and Sports Medicine and Statistics and Probability. According to data from OpenAlex, Luke Bornn has authored 21 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 7 papers in Orthopedics and Sports Medicine and 5 papers in Statistics and Probability. Recurrent topics in Luke Bornn's work include Sports Analytics and Performance (12 papers), Sports Performance and Training (7 papers) and Markov Chains and Monte Carlo Methods (3 papers). Luke Bornn is often cited by papers focused on Sports Analytics and Performance (12 papers), Sports Performance and Training (7 papers) and Markov Chains and Monte Carlo Methods (3 papers). Luke Bornn collaborates with scholars based in Canada, United States and Spain. Luke Bornn's co-authors include Daniel Cervone, Javier Fernández, Gavin Shaddick, James V. Zidek, Alexander Franks, Steven Y. Wu, Alexander D’Amour, Luke Miratrix, Maxime Rischard and Iavor Bojinov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of Machine Learning Research.

In The Last Decade

Luke Bornn

21 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luke Bornn Canada	9	152	88	61	35	30	21	258
Georgi N. Boshnakov United Kingdom	9	86 0.6×	14 0.2×	51 0.8×	16 0.5×	8 0.3×	34	256
Rory Bunker Japan	7	169 1.1×	119 1.4×	71 1.2×	4 0.1×	32 1.1×	13	291
Jan Van Haaren Belgium	10	153 1.0×	100 1.1×	93 1.5×		73 2.4×	24	255
Anthony Cioppa Belgium	10	74 0.5×	11 0.1×	105 1.7×	6 0.2×	203 6.8×	24	265
Iñigo Urteaga United States	8	8 0.1×	9 0.1×	73 1.2×	17 0.5×	10 0.3×	27	262
Dirk Hecker Germany	8	30 0.2×	8 0.1×	28 0.5×	4 0.1×	74 2.5×	18	220
Wayne S. Smith United States	7	42 0.3×	3 0.0×	85 1.4×	4 0.1×	11 0.4×	12	275
Gabriel A. Rodriguez‐Yam Mexico	7	97 0.6×		70 1.1×	11 0.3×	9 0.3×	12	379
Liya Fu China	10	20 0.1×	2 0.0×	55 0.9×	13 0.4×	30 1.0×	32	279
Tadeusz Lasota Poland	6	42 0.3×	1 0.0×	93 1.5×	8 0.2×	23 0.8×	9	236

Countries citing papers authored by Luke Bornn

Since Specialization

Citations

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

Fields of papers citing papers by Luke Bornn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Bornn

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

20 of 20 papers shown

Bornn, Luke, et al.. (2022). A Data-First Approach to Learning Real-World Statistical Modeling. SHILAP Revista de lepidopterología. 13(1). 1 indexed citations

Bornn, Luke, et al.. (2021). Home sweet home: Quantifying home court advantages for NCAA basketball statistics. arXiv (Cornell University). 7(1). 25–36. 9 indexed citations

Bornn, Luke, et al.. (2020). Using in-game shot trajectories to better understand defensive impact in the NBA. 6(4). 235–242. 3 indexed citations

Fernández, Javier, Luke Bornn, & Daniel Cervone. (2020). A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions. arXiv (Cornell University). 37 indexed citations

Rischard, Maxime, et al.. (2020). Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs. Journal of the American Statistical Association. 116(534). 619–631. 6 indexed citations

Bornn, Luke, et al.. (2019). Rao-Blackwellizing field goal percentage. Journal of Quantitative Analysis in Sports. 15(2). 85–95. 8 indexed citations

Rischard, Maxime, et al.. (2019). A nonparametric Bayesian methodology for regression discontinuity designs. Journal of Statistical Planning and Inference. 202. 14–30. 13 indexed citations

Bornn, Luke, et al.. (2018). Soccer Analytics: Unravelling the Complexity of “The Beautiful Game”. Significance. 15(3). 26–29. 23 indexed citations

Bornn, Luke, et al.. (2017). Adjusting for scorekeeper bias in NBA box scores. Data Mining and Knowledge Discovery. 31(6). 1622–1642. 8 indexed citations

10.

Wu, Steven Y. & Luke Bornn. (2017). Modeling Offensive Player Movement in Professional Basketball. The American Statistician. 72(1). 72–79. 16 indexed citations

11.

Chen, Yutian, et al.. (2016). Herded gibbs sampling. Journal of Machine Learning Research. 17(1). 263–291. 5 indexed citations

12.

Bojinov, Iavor & Luke Bornn. (2016). The Pressing Game: Optimal Defensive Disruption in Soccer. 8 indexed citations

13.

Antonelli, Joseph, Matthew Cefalu, & Luke Bornn. (2016). The positive effects of population-based preferential sampling in environmental epidemiology. Biostatistics. 17(4). 764–778. 4 indexed citations

14.

Bornn, Luke, Daniel Cervone, Alexander Franks, & Andrew Miller. (2016). Studying Basketball through the Lens of Player Tracking Data. 261–286. 3 indexed citations

15.

Franks, Alexander, Alexander D’Amour, Daniel Cervone, & Luke Bornn. (2016). Meta-analytics: tools for understanding the statistical properties of sports metrics. Journal of Quantitative Analysis in Sports. 12(4). 28 indexed citations

16.

Gerber, Mathieu & Luke Bornn. (2015). . arXiv (Cornell University). 6 indexed citations

17.

Liu, Anthony, Aaron Kaufman, Andrew Reece, et al.. (2015). A mixture-of-modelers approach to forecasting NCAA tournament outcomes. Journal of Quantitative Analysis in Sports. 11(1). 20 indexed citations

18.

Bornn, Luke, Natesh S. Pillai, Aaron Smith, & Dawn B. Woodard. (2014). A Pseudo-Marginal Perspective on the ABC Algorithm. arXiv (Cornell University). 2 indexed citations

19.

Bornn, Luke, Natesh S. Pillai, Aaron Smith, & Dawn B. Woodard. (2014). One Pseudo-Sample is Enough in Approximate Bayesian Computation MCMC. 2 indexed citations

20.

Yan, Matthew, Cindy Huang, Dianne Fang, et al.. (2011). ASSESSMENT AND MANAGEMENTOF ANEMIA IN A POPULATION OF CHILDREN LIVING IN THE INDIAN HIMALAYAS: A STUDENT-LED INITIATIVE. 2(2). 12–18. 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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