Alan Olinsky

22 papers receiving 327 citations

Peers

Alan Olinsky
Comparison fields: 5 of 115
  • Statistics and Probability 40
  • Applied Psychology 18
  • Organizational Behavior and Human Resource Management 39
  • Management Science and Operations Research 44
  • Marketing 28
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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-authors

The 19 scholars most cited alongside Alan Olinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan Olinsky Line = papers co-authored together Alan Olinsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003262
2 201023
3 201414
4
Gender differences in computer experience, skills, and attitudes among incoming college students
199214
5 200414
6 201610
7 20105
8
Assessing Gradient Boosting in the Reduction of Misclassification Error in the Prediction of Success for Actuarial Majors
20145
9
Using Simulation as an Integrated Teaching Tool in the Mathematics Classroom
19903
10 20192
11 20102
12 20212
13 19962
14 20132
15
The Importance of Teaching Power in Statistical Hypothesis Testing
20121
16
Illustration of regression results using simulation and graphical presentation
19901
17 20211
18 20111
19 20191
20 20221

About Alan Olinsky

Alan Olinsky is a scholar working on Artificial Intelligence, Statistics and Probability, Information Systems, Management Science and Operations Research and Computer Networks and Communications, having authored 29 papers that have together received 370 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (6 papers), Data Mining Algorithms and Applications (4 papers), Statistics Education and Methodologies (4 papers), Advanced Statistical Methods and Models (3 papers), Statistical Methods and Bayesian Inference (2 papers), Artificial Intelligence in Healthcare (2 papers), Healthcare Operations and Scheduling Optimization (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Statistics and Probability (40 citations), Applied Psychology (18 citations), Organizational Behavior and Human Resource Management (39 citations), Management Science and Operations Research (44 citations) and Marketing (28 citations). Alan Olinsky has collaborated with scholars based in United States, Canada and United Arab Emirates. Frequent co-authors include Shaw Chen, Lisa L. Harlow, Phyllis Schumacher, J. Quinn, Richard M. Smith, Janet Morahan-Martin, Paul Mangiameli, J. Michael Hardin, John T. Quinn and Shaw K. Chen. Their work appears in journals such as Journal of Education for Business, European Journal of Operational Research, INFORMS Journal on Applied Analytics, Industrial Management & Data Systems and International Journal of Mathematical Education in Science and Technology.

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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