Roy T. Sabo

561 total citations
30 papers, 343 citations indexed

About

Roy T. Sabo is a scholar working on Statistics and Probability, General Health Professions and Management Science and Operations Research. According to data from OpenAlex, Roy T. Sabo has authored 30 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 7 papers in General Health Professions and 6 papers in Management Science and Operations Research. Recurrent topics in Roy T. Sabo's work include Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Roy T. Sabo is often cited by papers focused on Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Roy T. Sabo collaborates with scholars based in United States, Switzerland and Jordan. Roy T. Sabo's co-authors include Alex H. Krist, Steven H. Woolf, Camille J. Hochheimer, N. Rao Chaganty, Teresa Day, John Cyrus, Ghalib Bello, Khalid Kheirallah, Paulette Lail Kashiri and Stephen F. Rothemich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Journal of Medical Internet Research.

In The Last Decade

Roy T. Sabo

26 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roy T. Sabo United States	9	115	63	49	48	33	30	343
Shemra Rizzo United States	12	49 0.4×	91 1.4×	49 1.0×	32 0.7×	15 0.5×	21	540
Ashley C Griffin United States	11	146 1.3×	77 1.2×	9 0.2×	73 1.5×	53 1.6×	23	347
Melek Somai United States	10	115 1.0×	115 1.8×	6 0.1×	28 0.6×	24 0.7×	19	315
M. Ataharul Islam Bangladesh	9	58 0.5×	19 0.3×	17 0.3×	20 0.4×	12 0.4×	18	312
James Hoath United States	6	298 2.6×	65 1.0×	9 0.2×	109 2.3×	50 1.5×	6	487
Alex Broadbent South Africa	12	148 1.3×	73 1.2×	78 1.6×	6 0.1×	7 0.2×	45	615
Emilie Shireman United States	6	140 1.2×	44 0.7×	11 0.2×	10 0.2×	8 0.2×	7	382
Diane M. Korngiebel United States	12	198 1.7×	209 3.3×	9 0.2×	31 0.6×	13 0.4×	24	586
Victoria A. Velkoff United States	9	139 1.2×	39 0.6×	10 0.2×	12 0.3×	7 0.2×	17	505
Nicole Fusco United States	9	78 0.7×	66 1.0×	18 0.4×	7 0.1×	31 0.9×	16	319

Countries citing papers authored by Roy T. Sabo

Since Specialization

Citations

This map shows the geographic impact of Roy T. Sabo'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 Roy T. Sabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy T. Sabo more than expected).

Fields of papers citing papers by Roy T. Sabo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy T. Sabo. 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 Roy T. Sabo. The network helps show where Roy T. Sabo may publish in the future.

Co-authorship network of co-authors of Roy T. Sabo

This figure shows the co-authorship network connecting the top 25 collaborators of Roy T. Sabo. A scholar is included among the top collaborators of Roy T. Sabo 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 Roy T. Sabo. Roy T. Sabo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rockwell, Michelle S., Adam Funk, Roy T. Sabo, et al.. (2024). Practice Facilitation to Address Unhealthy Alcohol Use in Primary Care. JAMA Health Forum. 5(8). e242371–e242371. 3 indexed citations

Sabo, Roy T., et al.. (2024). Moving From Crisis to Stability? The Success and Limits of an Eviction Prevention Program. Housing Policy Debate. 35(3). 452–469.

Marks, Sarah J., Andrew D. Mitchell, Chethan Bachireddy, et al.. (2024). The relationship between food and housing insecurity and healthcare use among Virginia Medicaid expansion members: Considering the neighborhood context. Health Services Research. 60(S2). e14416–e14416.

O’Loughlin, Kristen, Tracey L. Henry, Alicia Richards, et al.. (2023). Rising Racial Disparities in Opioid Mortality and Undertreatment of Opioid Use Disorder and Mental Health Comorbidities in Virginia. SHILAP Revista de lepidopterología. 2(3). 100102–100102. 4 indexed citations

Kaizer, Alexander, Hayley M. Belli, Samantha C. Roberts, et al.. (2023). Recent innovations in adaptive trial designs: A review of design opportunities in translational research. Journal of Clinical and Translational Science. 7(1). e125–e125. 21 indexed citations

Krist, Alex H., Michelle S. Rockwell, Alicia Richards, et al.. (2023). Use of population health data to promote equitable recruitment for a primary care practice implementation trial addressing unhealthy alcohol use. Journal of Clinical and Translational Science. 7(1). e110–e110. 3 indexed citations

Krist, Alex H., et al.. (2023). High Quality Primary Care, Stress, and Major Practice Changes. PubMed Central. 3873–3873. 1 indexed citations

Sabo, Roy T., et al.. (2021). A natural lead‐in approach to response‐adaptive allocation for continuous outcomes. Pharmaceutical Statistics. 20(3). 563–572. 2 indexed citations

Hochheimer, Camille J. & Roy T. Sabo. (2021). Testing for Phases of Dropout Attrition Using Change-Point Hazard Models. Journal of Survey Statistics and Methodology. 10(4). 1079–1097. 1 indexed citations

10.

Sabo, Roy T., et al.. (2020). Handling Skewed Data: A Comparison of Two Popular Methods. Applied Sciences. 10(18). 6247–6247. 34 indexed citations

11.

Hochheimer, Camille J., Roy T. Sabo, Robert A. Perera, Nitai D. Mukhopadhyay, & Alex H. Krist. (2019). Identifying Attrition Phases in Survey Data: Applicability and Assessment Study. Journal of Medical Internet Research. 21(8). e12811–e12811. 18 indexed citations

12.

Hochheimer, Camille J., Roy T. Sabo, Alex H. Krist, et al.. (2016). Methods for Evaluating Respondent Attrition in Web-Based Surveys. Journal of Medical Internet Research. 18(11). e301–e301. 70 indexed citations

13.

Sabo, Roy T. & Ghalib Bello. (2016). Optimal and lead-in adaptive allocation for binary outcomes: A comparison of Bayesian methods. Communication in Statistics- Theory and Methods. 46(6). 2823–2836.

14.

Bello, Ghalib & Roy T. Sabo. (2015). Outcome-adaptive allocation with natural lead-in for three-group trials with binary outcomes. Journal of Statistical Computation and Simulation. 86(12). 2441–2449. 5 indexed citations

15.

Krist, Alex H., Siobhan M. Phillips, Roy T. Sabo, et al.. (2014). Adoption, Reach, Implementation, and Maintenance of a Behavioral and Mental Health Assessment in Primary Care. The Annals of Family Medicine. 12(6). 525–533. 37 indexed citations

16.

Sabo, Roy T.. (2014). Adaptive Allocation for Binary Outcomes Using Decreasingly Informative Priors. Journal of Biopharmaceutical Statistics. 24(3). 569–578. 4 indexed citations

17.

Krist, Alex H., Steven H. Woolf, Ghalib Bello, et al.. (2014). Engaging Primary Care Patients to Use a Patient-Centered Personal Health Record. The Annals of Family Medicine. 12(5). 418–426. 80 indexed citations

18.

Sabo, Roy T. & Edward L. Boone. (2013). Statistical Research Methods. 6 indexed citations

19.

Sabo, Roy T. & N. Rao Chaganty. (2010). What can go wrong when ignoring correlation bounds in the use of generalized estimating equations. Statistics in Medicine. 29(24). 2501–2507. 13 indexed citations

20.

Sabo, Roy T. & N. Rao Chaganty. (2010). Estimation Methods for an Autoregressive Familial Correlation Structure. Communication in Statistics- Theory and Methods. 39(6). 973–991. 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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