Byron Wine

676 total citations
41 papers, 383 citations indexed

About

Byron Wine is a scholar working on Developmental and Educational Psychology, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Byron Wine has authored 41 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Developmental and Educational Psychology, 9 papers in Sociology and Political Science and 9 papers in Cognitive Neuroscience. Recurrent topics in Byron Wine's work include Behavioral and Psychological Studies (31 papers), Autism Spectrum Disorder Research (9 papers) and Workplace Violence and Bullying (5 papers). Byron Wine is often cited by papers focused on Behavioral and Psychological Studies (31 papers), Autism Spectrum Disorder Research (9 papers) and Workplace Violence and Bullying (5 papers). Byron Wine collaborates with scholars based in United States and Australia. Byron Wine's co-authors include David A. Wilder, Julie Atwell, Donald A. Hantula, Saul Axelrod, Shawn P. Gilroy, Melissa R. Nosik, James E. Carr, Adam T. Brewer, Josh Pritchard and Ting Chen and has published in prestigious journals such as Journal of Applied Behavior Analysis, Education and Treatment of Children and Journal of Organizational Behavior Management.

In The Last Decade

Byron Wine

36 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byron Wine United States 12 294 153 80 54 42 41 383
Amy J. Henley United States 9 141 0.5× 87 0.6× 50 0.6× 43 0.8× 29 0.7× 12 256
Martin L. Tombari United States 9 298 1.0× 42 0.3× 251 3.1× 96 1.8× 33 0.8× 14 459
Frank L. Bird United States 9 77 0.3× 128 0.8× 92 1.1× 17 0.3× 21 0.5× 27 351
Sabine Saade Canada 11 68 0.2× 186 1.2× 165 2.1× 59 1.1× 58 1.4× 24 344
M. Clara Barata Portugal 10 254 0.9× 34 0.2× 146 1.8× 31 0.6× 11 0.3× 22 646
Juan Pablo Barreyro Argentina 12 167 0.6× 60 0.4× 29 0.4× 51 0.9× 41 1.0× 84 414
Clarice Thomas United States 5 317 1.1× 70 0.5× 54 0.7× 19 0.4× 10 0.2× 7 448
Donald M. Stenhoff United States 10 207 0.7× 173 1.1× 146 1.8× 14 0.3× 20 0.5× 19 436
Brittany L. Hott United States 11 126 0.4× 58 0.4× 99 1.2× 26 0.5× 12 0.3× 43 319
Т.В. Корнилова Russia 10 67 0.2× 32 0.2× 93 1.2× 117 2.2× 14 0.3× 65 343

Countries citing papers authored by Byron Wine

Since Specialization
Citations

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

Fields of papers citing papers by Byron Wine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byron Wine

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

All Works

20 of 20 papers shown
1.
Wine, Byron, et al.. (2024). An Analysis of Variables Contributing to Board Certified Behavior Analyst® Turnover. Behavior Analysis in Practice. 18(4). 1124–1138.
2.
Wine, Byron, et al.. (2024). A blocking and distance management staff training intervention for torso‐ and head‐directed aggression. Journal of Applied Behavior Analysis. 57(3). 668–675. 1 indexed citations
3.
Wine, Byron, et al.. (2023). An initial evaluation of staff injuries in human service organizations. Behavioral Interventions. 39(1). 4 indexed citations
4.
Gravina, Nicole, et al.. (2023). Finding a Meaningful Career Using Organizational Behavior Management. Behavior Analysis in Practice. 17(1). 338–346.
5.
Wine, Byron, et al.. (2022). Human Services During the COVID Pandemic: Using Behavioral Safety Programs to Protect Human Services Workers and Students. Advances in Neurodevelopmental Disorders. 6(3). 360–365.
6.
Wine, Byron, et al.. (2020). On Turnover in Human Services. Behavior Analysis in Practice. 13(2). 492–501. 19 indexed citations
7.
Nosik, Melissa R., et al.. (2020). Teaching Employees How to Receive Feedback: A Preliminary Investigation. Journal of Organizational Behavior Management. 40(1-2). 19–29. 13 indexed citations
8.
Wine, Byron, et al.. (2019). The Effects of Temporal Placement of Feedback on Performance With and Without Goals. Journal of Organizational Behavior Management. 39(3-4). 308–316. 5 indexed citations
9.
Wine, Byron, et al.. (2017). Speak Up: Increasing Conversational Volume in a Child with Autism Spectrum Disorder. Behavior Analysis in Practice. 10(4). 407–410. 2 indexed citations
10.
Wine, Byron, et al.. (2017). Further Effects of Lottery Odds on Responding. Journal of Organizational Behavior Management. 37(1). 75–82. 4 indexed citations
11.
Wine, Byron, et al.. (2016). A Review ofConsumer Behavior Analysis: (A) Rational Approach to Consumer ChoicebyDavid P. Kelley III and Byron Wine. Journal of Organizational Behavior Management. 36(1). 94–97. 1 indexed citations
12.
Wine, Byron, et al.. (2015). Icing on the Cake: The Role of Research in Practitioner Training. Behavior Analysis in Practice. 8(2). 140–141. 4 indexed citations
13.
Wine, Byron, et al.. (2014). An Initial Assessment of Effective Preference Assessment Intervals Among Employees. Journal of Organizational Behavior Management. 34(3). 188–195. 7 indexed citations
14.
Wine, Byron & Saul Axelrod. (2014). The Effects of Progressively Thinning High-Preference Item Delivery on Responding in Employees. Journal of Organizational Behavior Management. 34(4). 291–299. 4 indexed citations
15.
Wine, Byron, et al.. (2014). An Evaluation of Stimulus Preference Assessment Methodology in Organizational Behavior Management. Journal of Organizational Behavior Management. 34(1). 7–15. 21 indexed citations
16.
Wine, Byron, et al.. (2013). ENHANCING THE ACCURACY OF LOW‐FREQUENCY BEHAVIOR DATA COLLECTION BY DIRECT‐CARE STAFF. Behavioral Interventions. 28(4). 344–352. 7 indexed citations
17.
Wilder, David A., et al.. (2011). Further Evaluation of the Accuracy of Managerial Prediction of Employee Preference. Journal of Organizational Behavior Management. 31(2). 130–139. 16 indexed citations
18.
Wine, Byron & David A. Wilder. (2009). THE EFFECTS OF VARIED VERSUS CONSTANT HIGH‐, MEDIUM‐, AND LOW‐PREFERENCE STIMULI ON PERFORMANCE. Journal of Applied Behavior Analysis. 42(2). 321–326. 10 indexed citations
19.
Wilder, David A., et al.. (2006). A Comparison Between Survey and Verbal Choice Methods of Identifying Potential Reinforcers Among Employees. Journal of Organizational Behavior Management. 25(4). 1–13. 17 indexed citations
20.
Wilder, David A., et al.. (2005). PREINTERVENTION ANALYSIS AND IMPROVEMENT OF CUSTOMER GREETING IN A RESTAURANT. Journal of Applied Behavior Analysis. 38(3). 411–415. 17 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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