Trent D. Buskirk
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- Mobile Crowdsensing and Crowdsourcing 3
- Communication top 5%
- Social Media and Politics 3
- Applied Psychology top 10%
- Health top 10%
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- Survey Methodology and Nonresponse 17
- Focus Groups and Qualitative Methods 4
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- Data-Driven Disease Surveillance 4
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- Statistical Methods and Bayesian Inference 4
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- Healthcare Policy and Management 4
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- Bayesian Methods and Mixture Models 2
- Co-authors
- David DutwinCharles H. AndrusSheila A. ScovilleKevin SteinSharon L. LohrTenbroeck SmithC Christina MehtaChiewkwei Kaw
- Journals
- Field Methods (3 papers)Journal of Survey Statistics and Methodology (3 papers)Public Opinion Quarterly (2 papers)
- Partner nations
- United StatesBelgiumSingapore
In The Last Decade
Trent D. Buskirk
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 139
- Computer Science Applications 77
- Communication 92
- Applied Psychology 65
- Health 92
- Sociology and Political Science 420
Countries citing papers authored by Trent D. Buskirk
This map shows the geographic impact of Trent D. Buskirk'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 Trent D. Buskirk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trent D. Buskirk more than expected).
Fields of papers citing papers by Trent D. Buskirk
This network shows the impact of papers produced by Trent D. Buskirk. 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 Trent D. Buskirk. The network helps show where Trent D. Buskirk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Trent D. Buskirk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 1 | |
| 2 | 2022 | 4 | |
| 3 | Big data meets survey science: A collection of innovative methods | 2020 | 13 |
| 4 | 2018 | 33 | |
| 5 | Background Checks for Firearm Transfers, 2013-14 - Statistical Tables | 2016 | 4 |
| 6 | 2014 | 0 | |
| 7 | 2014 | 31 | |
| 8 | 2014 | 48 | |
| 9 | Mobile technologies for conducting, augmenting and potentially replacing surveys | 2014 | 7 |
| 10 | 2014 | 3 | |
| 11 | 2014 | 70 | |
| 12 | 2009 | 27 | |
| 13 | 2009 | 21 | |
| 14 | 2009 | 89 | |
| 15 | 2008 | 85 | |
| 16 | 2008 | 29 | |
| 17 | 2007 | 33 | |
| 18 | 2006 | 93 | |
| 19 | 2006 | 176 | |
| 20 | A Post-stratified Raking-ratio Estimator Linking National and State Survey Data for Estimating Drug Use | 2003 | 1 |
About Trent D. Buskirk
Trent D. Buskirk is a scholar working on Statistics and Probability, Computer Science Applications, Sociology and Political Science, Family Practice and Communication, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (17 papers), Data-Driven Disease Surveillance (4 papers), Statistical Methods and Bayesian Inference (4 papers), Focus Groups and Qualitative Methods (4 papers), Healthcare Policy and Management (4 papers), Social Media and Politics (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Computer Science Applications (77 citations), Communication (92 citations), Applied Psychology (65 citations), Health (92 citations) and Sociology and Political Science (420 citations). Trent D. Buskirk has collaborated with scholars based in United States, Belgium and Singapore. Frequent co-authors include David Dutwin, Charles H. Andrus, Sheila A. Scoville, Kevin Stein, Sharon L. Lohr, Tenbroeck Smith, C Christina Mehta, Chiewkwei Kaw, J. Stafford and Frank Baker. Their work appears in journals such as Field Methods, Journal of Survey Statistics and Methodology, Public Opinion Quarterly, Social Science Computer Review and Cancer.
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.