Benjamin S. Baumer
Impact in
- Statistics and Probability top 2%
- Statistics Education and Methodologies
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- Scientific Computing and Data Management
Papers in
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- Data Analysis with R 14
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- Sports Analytics and Performance 12
- Co-authors
- Nicholas J. Horton (11 shared papers)Mine Çetinkaya-Rundel (6 shared papers)Andrew Bray (5 shared papers)Amotz Bar-Noy (9 shared papers)Johanna Hardin (3 shared papers)Roger D. Peng (1 shared paper)Olaf Hall-Holt (1 shared paper)Mark Daniel Ward (1 shared paper)
- Journals
- Journal of Quantitative Analysis in Sports (4 papers)The American Statistician (3 papers)Wiley Interdisciplinary Reviews Computational Statistics (3 papers)Algorithmica (2 papers)Developmental Biology (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Benjamin S. Baumer
41 papers receiving 640 citations
Peers
Comparison fields: 5 of 118
- Statistics and Probability 209
- Information Systems and Management 102
- Computer Science Applications 62
- Management Information Systems 82
- Parasitology 33
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 156 | |
| 2 | 2015 | 96 | |
| 3 | 2014 | 91 | |
| 4 | 2018 | 46 | |
| 5 | 2015 | 44 | |
| 6 | 2022 | 24 | |
| 7 | 2015 | 23 | |
| 8 | Women's Entrepreneurship Report 2018/2019 | 2019 | 23 |
| 9 | 2021 | 22 | |
| 10 | 2023 | 18 | |
| 11 | 2018 | 13 | |
| 12 | 2013 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2019 | 9 | |
| 15 | 2008 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 2020 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2013 | 5 |
About Benjamin S. Baumer
Benjamin S. Baumer is a scholar working on Artificial Intelligence, Economics and Econometrics, Statistics and Probability, Computer Networks and Communications and Information Systems and Management, having authored 46 papers that have together received 669 indexed citations. Recurring topics across this work include Data Analysis with R (14 papers), Sports Analytics and Performance (12 papers), Statistics Education and Methodologies (12 papers), Energy Efficient Wireless Sensor Networks (6 papers), Big Data and Business Intelligence (5 papers), Optimization and Search Problems (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Statistics and Probability (209 citations), Information Systems and Management (102 citations), Computer Science Applications (62 citations), Management Information Systems (82 citations) and Parasitology (33 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, Andrew Bray, Amotz Bar-Noy, Johanna Hardin, Roger D. Peng, Olaf Hall-Holt, Mark Daniel Ward, Paul Roback and Duncan Temple Lang. Their work appears in journals such as Journal of Quantitative Analysis in Sports, The American Statistician, Wiley Interdisciplinary Reviews Computational Statistics, Algorithmica and Developmental Biology.
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.