Benjamin S. Baumer
Impact in
- Statistics and Probability top 1%
- Statistics Education and Methodologies
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- Teaching and Learning Programming
Papers in
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- Statistics Education and Methodologies 16
- Statistical Methods and Applications 3
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- Sports Analytics and Performance 15
- Co-authors
- Nicholas J. Horton (11 shared papers)Mine Çetinkaya-Rundel (6 shared papers)Gregory J. Matthews (4 shared papers)Andrew P. Bray (5 shared papers)Johanna Hardin (3 shared papers)Amotz Bar-Noy (9 shared papers)Paul Roback (1 shared paper)Roger W. Hoerl (1 shared paper)
- Journals
- Journal of Quantitative Analysis in Sports (4 papers)Wiley Interdisciplinary Reviews Computational Statistics (3 papers)The American Statistician (3 papers)Journal of Computational and Graphical Statistics (2 papers)Algorithmica (2 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Benjamin S. Baumer
47 papers receiving 892 citations
Peers
Comparison fields: 5 of 107
- Statistics and Probability 380
- Computer Science Applications 105
- Information Systems and Management 100
- Information Systems 163
- Parasitology 36
Countries citing papers authored by Benjamin S. Baumer
This map shows the geographic impact of Benjamin S. Baumer'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 Benjamin S. Baumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin S. Baumer more than expected).
Fields of papers citing papers by Benjamin S. Baumer
This network shows the impact of papers produced by Benjamin S. Baumer. 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 Benjamin S. Baumer. The network helps show where Benjamin S. Baumer may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin S. Baumer, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 168 | |
| 2 | 2015 | 161 | |
| 3 | 2015 | 96 | |
| 4 | 2014 | 95 | |
| 5 | 2015 | 54 | |
| 6 | 2018 | 48 | |
| 7 | 2018 | 34 | |
| 8 | 2022 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2015 | 26 | |
| 11 | Women's Entrepreneurship Report 2018/2019 | 2019 | 24 |
| 12 | 2023 | 21 | |
| 13 | 2018 | 13 | |
| 14 | 2013 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2008 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2013 | 8 |
About Benjamin S. Baumer
Benjamin S. Baumer is a scholar working on Statistics and Probability, Economics and Econometrics, Information Systems and Management, Artificial Intelligence and Computational Theory and Mathematics, having authored 52 papers that have together received 938 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (16 papers), Sports Analytics and Performance (15 papers), Data Analysis with R (10 papers), Energy Efficient Wireless Sensor Networks (6 papers), Complexity and Algorithms in Graphs (5 papers), Statistical Methods and Applications (3 papers), Complex Network Analysis Techniques (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Statistics and Probability (380 citations), Computer Science Applications (105 citations), Information Systems and Management (100 citations), Information Systems (163 citations) and Parasitology (36 citations). Benjamin S. Baumer has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Nicholas J. Horton, Mine Çetinkaya-Rundel, Gregory J. Matthews, Andrew P. Bray, Johanna Hardin, Amotz Bar-Noy, Paul Roback, Roger W. Hoerl, Duncan Temple Lang and D. Nolan. Their work appears in journals such as Journal of Quantitative Analysis in Sports, Wiley Interdisciplinary Reviews Computational Statistics, The American Statistician, Journal of Computational and Graphical Statistics and Algorithmica.
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.