Byron J. Gajewski

3.3k total citations
153 papers, 2.2k citations indexed

About

Byron J. Gajewski is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Byron J. Gajewski has authored 153 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Statistics and Probability, 34 papers in Public Health, Environmental and Occupational Health and 32 papers in General Health Professions. Recurrent topics in Byron J. Gajewski's work include Statistical Methods in Clinical Trials (29 papers), Health Systems, Economic Evaluations, Quality of Life (21 papers) and Statistical Methods and Bayesian Inference (16 papers). Byron J. Gajewski is often cited by papers focused on Statistical Methods in Clinical Trials (29 papers), Health Systems, Economic Evaluations, Quality of Life (21 papers) and Statistical Methods and Bayesian Inference (16 papers). Byron J. Gajewski collaborates with scholars based in United States, United Kingdom and Netherlands. Byron J. Gajewski's co-authors include Heather Gibbs, Debra K. Sullivan, Edward F. Ellerbeck, Matthew S. Mayo, Nancy Dunton, Kristine Williams, Ruth Herman, Marjorie J. Bott, Susan E. Carlson and Patricia M. Kluding and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Byron J. Gajewski

140 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Byron J. Gajewski United States	24	739	546	276	244	213	153	2.2k
Andrea J. Cook United States	34	536 0.7×	984 1.8×	437 1.6×	191 0.8×	206 1.0×	128	4.1k
Joel A. Dubin Canada	31	627 0.8×	713 1.3×	834 3.0×	145 0.6×	351 1.6×	115	3.8k
Jason Roy United States	26	755 1.0×	867 1.6×	258 0.9×	163 0.7×	382 1.8×	72	3.3k
Steve McDonald Australia	29	765 1.0×	580 1.1×	132 0.5×	77 0.3×	279 1.3×	107	3.2k
Richard Jacques United Kingdom	28	432 0.6×	388 0.7×	177 0.6×	60 0.2×	239 1.1×	96	2.8k
Marie‐Pierre Sylvestre Canada	28	299 0.4×	338 0.6×	378 1.4×	127 0.5×	371 1.7×	139	2.4k
Elise Dusseldorp Netherlands	32	1.1k 1.4×	477 0.9×	226 0.8×	241 1.0×	226 1.1×	91	3.5k
Shona Fielding United Kingdom	28	332 0.4×	595 1.1×	243 0.9×	115 0.5×	237 1.1×	85	2.6k
Rong Chu Canada	13	490 0.7×	454 0.8×	246 0.9×	131 0.5×	249 1.2×	19	2.8k
Robert A. Greevy United States	36	454 0.6×	310 0.6×	281 1.0×	250 1.0×	492 2.3×	125	3.8k

Countries citing papers authored by Byron J. Gajewski

Since Specialization

Citations

This map shows the geographic impact of Byron J. Gajewski'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 Byron J. Gajewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byron J. Gajewski more than expected).

Fields of papers citing papers by Byron J. Gajewski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byron J. Gajewski. 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 Byron J. Gajewski. The network helps show where Byron J. Gajewski may publish in the future.

Co-authorship network of co-authors of Byron J. Gajewski

This figure shows the co-authorship network connecting the top 25 collaborators of Byron J. Gajewski. A scholar is included among the top collaborators of Byron J. Gajewski 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 Byron J. Gajewski. Byron J. Gajewski 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

Qureshi, Adnan I., J. A. Beall, Christy Cassarly, et al.. (2024). Prevalence, trends, and outcomes of cerebral infarction in patients with aneurysmal subarachnoid hemorrhage in the USA. Journal of Neuroimaging. 34(6). 790–798. 4 indexed citations

Gajewski, Byron J., et al.. (2024). A regional study to evaluate the impact of coal-fired power plants on lung cancer incident rates. SHILAP Revista de lepidopterología. 2(1).

Carlson, Susan E., Byron J. Gajewski, Christina J. Valentine, et al.. (2023). Early and late preterm birth rates in participants adherent to randomly assigned high dose docosahexaenoic acid (DHA) supplementation in pregnancy. Clinical Nutrition. 42(2). 235–243. 9 indexed citations

Brown, Alexandra R., Byron J. Gajewski, Dinesh Pal Mudaranthakam, et al.. (2023). Conducting a bayesian multi-armed trial with response adaptive randomization for comparative effectiveness of medications for CSPN. Contemporary Clinical Trials Communications. 36. 101220–101220.

Gajewski, Byron J., Jo Wick, Jeffrey L. Saver, et al.. (2022). Optimizing a Bayesian hierarchical adaptive platform trial design for stroke patients. Trials. 23(1). 754–754. 7 indexed citations

Mudaranthakam, Dinesh Pal, Byron J. Gajewski, Hope Krebill, et al.. (2022). Barriers to Clinical Trial Participation: Comparative Study Between Rural and Urban Participants. JMIR Cancer. 8(2). e33240–e33240. 18 indexed citations

Faseru, Babalola, Laura M. Mussulman, Niaman Nazir, et al.. (2022). Use of Pre-Enrollment Randomization and Delayed Consent to Maximize Participation in a Clinical Trial of Opt-In versus Opt-Out Tobacco Treatment. Substance Abuse. 43(1). 1035–1042. 1 indexed citations

Travis, James, et al.. (2022). Bayesian adaptive design for pediatric clinical trials incorporating a community of prior beliefs. BMC Medical Research Methodology. 22(1). 118–118. 5 indexed citations

Mudaranthakam, Dinesh Pal, Alexandra R. Brown, Elizabeth H. Kerling, et al.. (2021). The Successful Synchronized Orchestration of an Investigator-Initiated Multicenter Trial Using a Clinical Trial Management System and Team Approach: Design and Utility Study. JMIR Formative Research. 5(12). e30368–e30368. 2 indexed citations

10.

Katzmarzyk, Peter T., John W. Apolzan, Byron J. Gajewski, et al.. (2021). Weight loss in primary care: A pooled analysis of two pragmatic cluster‐randomized trials. Obesity. 29(12). 2044–2054. 8 indexed citations

11.

Meier, Richard, et al.. (2019). Optimizing Sample Size Allocation and Power in a Bayesian Two-Stage Drop-the-Losers Design. The American Statistician. 75(1). 66–75. 1 indexed citations

12.

Gajewski, Byron J., et al.. (2018). Trends in Nursing Care Efficiency From 2007 to 2011 on Acute Nursing Units.. PubMed. 34(6). 266–76. 1 indexed citations

13.

Daley, Christine Makosky, et al.. (2018). Native American Weight Loss Movement: Pilot Test of a Culturally Tailored Weight Loss Program for American Indians. Digital Scholarship - UNLV (University of Nevada Reno). 12(1). 1. 1 indexed citations

14.

Barohn, Richard J., Byron J. Gajewski, Mamatha Pasnoor, et al.. (2018). Patient Assisted Intervention for Neuropathy: Comparison of treatment in real life situations (PAIN-CONTRoLS) (P1.435). Neurology. 90(15_supplement). 4 indexed citations

15.

Richter, Kimber P., et al.. (2017). Two brief valid measures of therapeutic alliance in counseling for tobacco dependence. Journal of Substance Abuse Treatment. 86. 60–64. 16 indexed citations

16.

Gajewski, Byron J., C. Shane Reese, John Colombo, & Susan E. Carlson. (2016). Commensurate Priors on a Finite Mixture Model for Incorporating Repository Data in Clinical Trials. Statistics in Biopharmaceutical Research. 8(2). 151–160. 10 indexed citations

17.

Brown, Alexandra R., Byron J. Gajewski, Lauren S. Aaronson, et al.. (2016). A Bayesian comparative effectiveness trial in action: developing a platform for multisite study adaptive randomization. Trials. 17(1). 428–428. 17 indexed citations

18.

Hou, Qingjiang, Jonathan D. Mahnken, Byron J. Gajewski, & Nancy Dunton. (2011). The Box-Cox power transformation on nursing sensitive indicators: Does it matter if structural effects are omitted during the estimation of the transformation parameter?. BMC Medical Research Methodology. 11(1). 118–118. 10 indexed citations

19.

Klaus, Susan, David J. Ekerdt, & Byron J. Gajewski. (2011). Job satisfaction in birth cohorts of nurses. Journal of Nursing Management. 20(4). 461–471. 24 indexed citations

20.

Rilett, Laurence R., et al.. (1999). ESTIMATING CONFIDENCE INTERVAL FOR FREEWAY CORRIDOR TRAVEL TIME FORECASTS. 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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