James Arbuckle

2.0k total citations · 1 hit paper
12 papers, 1.7k citations indexed

About

James Arbuckle is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, James Arbuckle has authored 12 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Signal Processing. Recurrent topics in James Arbuckle's work include Advanced Statistical Methods and Models (2 papers), Neural Networks and Applications (2 papers) and Blind Source Separation Techniques (2 papers). James Arbuckle is often cited by papers focused on Advanced Statistical Methods and Models (2 papers), Neural Networks and Applications (2 papers) and Blind Source Separation Techniques (2 papers). James Arbuckle collaborates with scholars based in United States and Canada. James Arbuckle's co-authors include James Larimer, Michael Friendly and Leona S. Aiken and has published in prestigious journals such as Psychometrika, The American Statistician and Behavior Research Methods.

In The Last Decade

James Arbuckle

10 papers receiving 1.6k citations

Hit Papers

Full Information Estimation in the Presence of Incomplete... 1996 2026 2006 2016 1996 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Arbuckle United States 7 549 389 352 349 213 12 1.7k
David Rogosa United States 16 520 0.9× 483 1.2× 359 1.0× 486 1.4× 446 2.1× 39 2.6k
Allan L. McCutcheon United States 14 494 0.9× 283 0.7× 666 1.9× 199 0.6× 262 1.2× 28 2.3k
Donald M. Medley United States 13 499 0.9× 480 1.2× 332 0.9× 637 1.8× 189 0.9× 49 2.7k
Paul Allison United States 3 351 0.6× 286 0.7× 697 2.0× 367 1.1× 95 0.4× 3 1.9k
James L. Wardrop United States 15 346 0.6× 453 1.2× 213 0.6× 561 1.6× 232 1.1× 31 1.7k
Tammi Vacha‐Haase United States 22 602 1.1× 696 1.8× 331 0.9× 359 1.0× 287 1.3× 50 2.5k
David J. Armor United States 20 392 0.7× 280 0.7× 466 1.3× 817 2.3× 166 0.8× 66 2.2k
Larry G. Daniel United States 17 272 0.5× 397 1.0× 230 0.7× 615 1.8× 232 1.1× 62 2.0k
G. Cynthia Fekken Canada 21 995 1.8× 747 1.9× 570 1.6× 112 0.3× 521 2.4× 53 2.4k
Robert F. Strahan United States 13 473 0.9× 508 1.3× 480 1.4× 90 0.3× 222 1.0× 41 1.8k

Countries citing papers authored by James Arbuckle

Since Specialization
Citations

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

Fields of papers citing papers by James Arbuckle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Arbuckle

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

All Works

12 of 12 papers shown
1.
Arbuckle, James. (2017). EBOOK : IBM SPSS Amos 25 User’s Guide. 34 indexed citations
2.
Arbuckle, James, et al.. (2002). A collection of letters and essays on several subjects.
3.
Arbuckle, James. (1996). Full Information Estimation in the Presence of Incomplete Data. Dialnet (Universidad de la Rioja). 243–278. 1432 indexed citations breakdown →
4.
Arbuckle, James. (1994). Computer Announcement Amos: Analysis of Moment Structures. Psychometrika. 59(1). 135–137. 89 indexed citations
5.
Arbuckle, James. (1989). AMOS: Analysis of Moment Structures. The American Statistician. 43(1). 66–66. 100 indexed citations
6.
Arbuckle, James. (1979). Program for computing measures of association in two-way contingency tables. Behavior Research Methods. 11(3). 403–403. 1 indexed citations
7.
Arbuckle, James & Michael Friendly. (1977). On Rotating to Smooth Functions. Psychometrika. 42(1). 127–140. 6 indexed citations
8.
Arbuckle, James & James Larimer. (1976). The number of two-way tables satisfying certain additivity axioms. Journal of Mathematical Psychology. 13(1). 89–100. 12 indexed citations
9.
Arbuckle, James & Michael Friendly. (1975). A program for rotation to smooth functions. Behavior Research Methods. 7(5). 474–474. 2 indexed citations
10.
Arbuckle, James & Leona S. Aiken. (1975). A program for Pitman’s permutation test for differences in location. Behavior Research Methods. 7(4). 381–381. 1 indexed citations
11.
Arbuckle, James, et al.. (1973). A GENERAL PROCEDURE FOR PARAMETER ESTIMATION FOR THE LAW OF COMPARATIVE JUDGEMENT. British Journal of Mathematical and Statistical Psychology. 26(2). 240–260. 19 indexed citations
12.
Arbuckle, James. (1970). MULTIVARIATE ANALYSIS WITH STATIONARY ERROR: AN APPLICATION TO AUDITORY EVOKED POTENTIALS. ETS Research Bulletin Series. 1970(1).

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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