Allen I. Fleishman

902 citations
6 papers · 705 indexed · 1 hit paper · h-index 6
Topics
Advanced Statistical Methods and Models (3 papers)School Choice and Performance (2 papers)Statistical Methods and Inference (1 paper)
Partner nations
United States

In The Last Decade

Allen I. Fleishman

6 papers receiving 611 citations

Hit Papers

A Method for Simulating Non-Normal Distributions19782026199420101978100200300400500

Peers

Allen I. Fleishman
Comparison fields: 5 of 103
  • Statistics and Probability 368
  • Management Science and Operations Research 214
  • Statistics, Probability and Uncertainty 124
  • Computer Networks and Communications 83
  • Artificial Intelligence 78
Replace C. David Vale with:
C. David Vale United States
Walter Kristof United States
Haruhiko Ogasawara Japan
Janice A. Gifford United States
Wicher Bergsma United Kingdom
Marilyn S. Wingersky United States
Won‐Chan Lee United States
Yi‐Hsuan Lee United States
Bruno Lecoutre France
William J. Hemmerle United States
Allen I. Fleishman relative to C. David Vale United States C. David Vale's profile →
Citations per field
00.5×2.9×
C. David Vale · 1×
Citations per year

Countries citing papers authored by Allen I. Fleishman

Since Specialization
Citations

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

Fields of papers citing papers by Allen I. Fleishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allen I. Fleishman. 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 Allen I. Fleishman. The network helps show where Allen I. Fleishman may publish in the future.

Co-authorship network of co-authors of Allen I. Fleishman

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 42
2
A Method for Simulating Non-Normal Distributionsbreakdown →
539
3 36
4 10
5 12
6 66

About Allen I. Fleishman

Allen I. Fleishman is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 6 papers that have together received 705 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (3 papers), School Choice and Performance (2 papers) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Statistics and Probability (368 citations), Statistics, Probability and Uncertainty (124 citations) and Management Science and Operations Research (214 citations). Allen I. Fleishman has collaborated with scholars based in United States. Frequent co-authors include Lloyd G. Humphreys. Their work appears in journals such as Journal of Educational Psychology, Psychometrika and Educational and Psychological Measurement.

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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