Alan Olinsky

494 total citations
19 papers, 339 citations indexed

About

Alan Olinsky is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Alan Olinsky has authored 19 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Alan Olinsky's work include Statistics Education and Methodologies (4 papers), Data Mining Algorithms and Applications (3 papers) and Online Learning and Analytics (2 papers). Alan Olinsky is often cited by papers focused on Statistics Education and Methodologies (4 papers), Data Mining Algorithms and Applications (3 papers) and Online Learning and Analytics (2 papers). Alan Olinsky collaborates with scholars based in United States, United Arab Emirates and Canada. Alan Olinsky's co-authors include Shaw Chen, Lisa L. Harlow, Phyllis Schumacher, J. Quinn, Richard M. Smith, Janet Morahan-Martin, Paul Mangiameli, Shaw K. Chen, J. Michael Hardin and John T. Quinn and has published in prestigious journals such as European Journal of Operational Research, Industrial Management & Data Systems and INFORMS Journal on Applied Analytics.

In The Last Decade

Alan Olinsky

16 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Olinsky United States 6 63 46 40 39 37 19 339
James J. Cochran United States 12 77 1.2× 26 0.6× 15 0.4× 34 0.9× 41 1.1× 47 448
Raffaella Coppier Italy 9 141 2.2× 44 1.0× 46 1.1× 30 0.8× 20 0.5× 26 476
Michela Gnaldi Italy 11 62 1.0× 37 0.8× 15 0.4× 64 1.6× 25 0.7× 26 415
Pengyuan Wang United States 12 108 1.7× 84 1.8× 63 1.6× 56 1.4× 71 1.9× 24 468
Richard J. Rovinelli United States 5 53 0.8× 26 0.6× 22 0.6× 97 2.5× 35 0.9× 9 469
Hsiu‐Ting Yu Taiwan 11 71 1.1× 44 1.0× 37 0.9× 21 0.5× 21 0.6× 23 400
Yves Dominicy Belgium 6 34 0.5× 51 1.1× 53 1.3× 19 0.5× 15 0.4× 15 431
Narendra Mulani United States 9 79 1.3× 86 1.9× 70 1.8× 28 0.7× 80 2.2× 11 480
Gerald E. Evans United States 8 40 0.6× 18 0.4× 34 0.8× 65 1.7× 15 0.4× 28 357
Lawrence C. Marsh United States 8 74 1.2× 25 0.5× 25 0.6× 35 0.9× 25 0.7× 26 548

Countries citing papers authored by Alan Olinsky

Since Specialization
Citations

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

Fields of papers citing papers by Alan Olinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Olinsky

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

All Works

19 of 19 papers shown
1.
Olinsky, Alan, Phyllis Schumacher, & J. Quinn. (2016). An Expanded Assessment of Data Mining Approaches for Analyzing Actuarial Student Success Rate. RePEc: Research Papers in Economics. 3(1). 22–44. 8 indexed citations
2.
Quinn, John T., et al.. (2015). Cluster analysis and persistence in college majors. Journal of Applied Research in Higher Education. 7(2). 275–291. 1 indexed citations
3.
Olinsky, Alan, et al.. (2014). Assessing Gradient Boosting in the Reduction of Misclassification Error in the Prediction of Success for Actuarial Majors. Bryant Digital Repository (Bryant University). 5(1). 12–16. 5 indexed citations
4.
Olinsky, Alan, et al.. (2014). Applying Monte Carlo Simulation to Determine the Likelihood of Cheating on a Multiple-Choice Professional Exam. Bryant Digital Repository (Bryant University). 3(1). 30–36. 1 indexed citations
5.
Schumacher, Phyllis, et al.. (2014). SAS Joint Data Mining Certification at Bryant University. Bryant Digital Repository (Bryant University).
6.
Olinsky, Alan, et al.. (2014). Time Series Data Mining. RePEc: Research Papers in Economics. 1(4). 51–68. 12 indexed citations
7.
Olinsky, Alan, Phyllis Schumacher, & John F. Quinn. (2012). The Importance of Teaching Power in Statistical Hypothesis Testing. 2012(1). 1 indexed citations
8.
Olinsky, Alan, et al.. (2012). The Challenges of Real World Analytics: A Case Study of a Municipal Water Authority Data Analysis. Bryant Digital Repository (Bryant University).
9.
Olinsky, Alan, et al.. (2010). A Review of the Persistent Reconciling Items Between Financial Statements Using U.S. GAAP and International Financial Reporting Standards for Three Auto Manufacturers. Bryant Digital Repository (Bryant University). 6(1). 24–324. 2 indexed citations
10.
Schumacher, Phyllis, Alan Olinsky, J. Quinn, & Richard M. Smith. (2010). A Comparison of Logistic Regression, Neural Networks, and Classification Trees Predicting Success of Actuarial Students. Journal of Education for Business. 85(5). 258–263. 20 indexed citations
11.
Olinsky, Alan, et al.. (2010). Data Mining for Health Care Professionals. RePEc: Research Papers in Economics. 1(2). 30–41. 4 indexed citations
12.
Dufournaud, Christian M., et al.. (2005). Program scheduling of interrelated programs in a university faculty when there might be strategic behavior. 1. 1075–1079. 1 indexed citations
13.
Olinsky, Alan, John T. Quinn, Paul Mangiameli, & Shaw K. Chen. (2004). A genetic algorithm approach to nonlinear least squares estimation. International Journal of Mathematical Education in Science and Technology. 35(2). 207–217. 12 indexed citations
14.
Olinsky, Alan, Shaw Chen, & Lisa L. Harlow. (2003). The comparative efficacy of imputation methods for missing data in structural equation modeling. European Journal of Operational Research. 151(1). 53–79. 251 indexed citations
15.
Olinsky, Alan, et al.. (1998). Dynamic financial imaging: using multimedia to measure the health of your business. Industrial Management & Data Systems. 98(1). 17–22. 1 indexed citations
16.
Olinsky, Alan, Paul Mangiameli, & Shaw K. Chen. (1996). Statistical Support of Forensic Auditing. INFORMS Journal on Applied Analytics. 26(6). 95–104. 2 indexed citations
17.
Morahan-Martin, Janet, Alan Olinsky, & Phyllis Schumacher. (1992). Gender differences in computer experience, skills, and attitudes among incoming college students. 10(1). 1–8. 14 indexed citations
18.
Olinsky, Alan & Phyllis Schumacher. (1990). Illustration of regression results using simulation and graphical presentation. 8(4). 241–247. 1 indexed citations
19.
Olinsky, Alan, et al.. (1990). Using Simulation as an Integrated Teaching Tool in the Mathematics Classroom. Bryant Digital Repository (Bryant University). 3 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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