Luke Bornn
Impact in
- Orthopedics and Sports Medicine top 10%
- Sports Performance and Training
- Economics and Econometrics top 10%
- Sports Analytics and Performance
Papers in
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- Sports Analytics and Performance 12
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- Sports Performance and Training 7
- Co-authors
- Daniel Cervone (3 shared papers)Javier Fernández (2 shared papers)James V. Zidek (1 shared paper)Gavin Shaddick (1 shared paper)Alexander Franks (3 shared papers)Steven Y. Wu (1 shared paper)Alexander D’Amour (1 shared paper)Maxime Rischard (2 shared papers)
- Journals
- Journal of Quantitative Analysis in Sports (3 papers)Journal of the American Statistical Association (2 papers)Data Mining and Knowledge Discovery (1 paper)Biostatistics (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Luke Bornn
21 papers receiving 246 citations
Peers
Comparison fields: 5 of 78
- Orthopedics and Sports Medicine 88
- Economics and Econometrics 152
- Statistics and Probability 28
- Environmental Engineering 35
- Artificial Intelligence 61
Countries citing papers authored by Luke Bornn
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
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-authors
The 25 scholars most cited alongside Luke Bornn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 54 | |
| 2 | 2020 | 37 | |
| 3 | 2016 | 28 | |
| 4 | 2018 | 23 | |
| 5 | 2015 | 20 | |
| 6 | 2017 | 16 | |
| 7 | 2019 | 13 | |
| 8 | 2021 | 9 | |
| 9 | 2017 | 8 | |
| 10 | The Pressing Game: Optimal Defensive Disruption in Soccer | 2016 | 8 |
| 11 | 2019 | 8 | |
| 12 | 2015 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2016 | 3 | |
| 18 | ASSESSMENT AND MANAGEMENTOF ANEMIA IN A POPULATION OF CHILDREN LIVING IN THE INDIAN HIMALAYAS: A STUDENT-LED INITIATIVE | 2011 | 2 |
| 19 | A Pseudo-Marginal Perspective on the ABC Algorithm | 2014 | 2 |
| 20 | One Pseudo-Sample is Enough in Approximate Bayesian Computation MCMC | 2014 | 2 |
About Luke Bornn
Luke Bornn is a scholar working on Economics and Econometrics, Orthopedics and Sports Medicine, Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 21 papers that have together received 258 indexed citations. Recurring topics across this work include Sports Analytics and Performance (12 papers), Sports Performance and Training (7 papers), Markov Chains and Monte Carlo Methods (3 papers), Sports Dynamics and Biomechanics (3 papers), Forecasting Techniques and Applications (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Bayesian Methods and Mixture Models (2 papers) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (88 citations), Economics and Econometrics (152 citations), Statistics and Probability (28 citations), Environmental Engineering (35 citations) and Artificial Intelligence (61 citations). Luke Bornn has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Daniel Cervone, Javier Fernández, James V. Zidek, Gavin Shaddick, Alexander Franks, Steven Y. Wu, Alexander D’Amour, Maxime Rischard, Luke Miratrix and Iavor Bojinov. Their work appears in journals such as Journal of Quantitative Analysis in Sports, Journal of the American Statistical Association, Data Mining and Knowledge Discovery, Biostatistics and Journal of Machine Learning Research.
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.