Eric J. Beh

1.9k total citations
104 papers, 1.0k citations indexed

About

Eric J. Beh is a scholar working on Food Science, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Eric J. Beh has authored 104 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Food Science, 42 papers in Statistics and Probability and 13 papers in Artificial Intelligence. Recurrent topics in Eric J. Beh's work include Sensory Analysis and Statistical Methods (65 papers), Advanced Statistical Methods and Models (29 papers) and Spectroscopy and Chemometric Analyses (10 papers). Eric J. Beh is often cited by papers focused on Sensory Analysis and Statistical Methods (65 papers), Advanced Statistical Methods and Models (29 papers) and Spectroscopy and Chemometric Analyses (10 papers). Eric J. Beh collaborates with scholars based in Australia, Italy and South Africa. Eric J. Beh's co-authors include Rosaria Lombardo, Luigi D’Ambra, Pamela J. Davy, Biagio Simonetti, Thomas B. Farver, J. C. W. Rayner, Pietro Amenta, Derek Smith, Irene L. Hudson and Pieter M. Kroonenberg and has published in prestigious journals such as PLoS ONE, Nutrients and Psychometrika.

In The Last Decade

Eric J. Beh

93 papers receiving 965 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric J. Beh Australia 17 497 282 100 62 56 104 1.0k
Shizuhiko Nishisato Canada 14 274 0.6× 279 1.0× 151 1.5× 103 1.7× 49 0.9× 45 1.2k
Rosaria Lombardo Italy 13 204 0.4× 87 0.3× 33 0.3× 27 0.4× 24 0.4× 53 442
Michel van de Velden Netherlands 15 127 0.3× 45 0.2× 114 1.1× 74 1.2× 18 0.3× 56 592
Rolf E. Bargmann United States 11 125 0.3× 339 1.2× 113 1.1× 63 1.0× 62 1.1× 28 1.2k
Paola Zuccolotto Italy 18 199 0.4× 111 0.4× 161 1.6× 23 0.4× 14 0.3× 63 986
Wai‐Yin Poon Hong Kong 17 99 0.2× 761 2.7× 170 1.7× 66 1.1× 14 0.3× 85 1.3k
R. Darrell Bock United Kingdom 4 69 0.1× 273 1.0× 103 1.0× 91 1.5× 107 1.9× 4 1.1k
David B. MacKay United States 19 164 0.3× 88 0.3× 80 0.8× 112 1.8× 11 0.2× 59 1.0k
Fortunato Pesarin Italy 16 54 0.1× 668 2.4× 212 2.1× 42 0.7× 27 0.5× 55 1.5k
Niël le Roux South Africa 11 118 0.2× 101 0.4× 34 0.3× 20 0.3× 100 1.8× 57 558

Countries citing papers authored by Eric J. Beh

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Beh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Beh. 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 Eric J. Beh. The network helps show where Eric J. Beh may publish in the future.

Co-authorship network of co-authors of Eric J. Beh

This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Beh. A scholar is included among the top collaborators of Eric J. Beh 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 Eric J. Beh. Eric J. Beh 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.
Kamalja, Kirtee K., et al.. (2024). A New Algorithm for the Partition of Pearson’s Chi-Squared Statistic for Multiway Contingency Table. Research Online (University of Wollongong). 25(1). 121–149.
2.
3.
Beh, Eric J. & Rosaria Lombardo. (2023). Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics. International Statistical Review. 92(1). 17–42. 4 indexed citations
4.
5.
Beh, Eric J., et al.. (2022). Multiple correspondence analysis as a tool for examining Nobel Prize data from 1901 to 2018. PLoS ONE. 17(4). e0265929–e0265929. 9 indexed citations
6.
7.
Beh, Eric J. & Rosaria Lombardo. (2021). An Introduction to Correspondence Analysis. Wiley series in probability and statistics. 13 indexed citations
8.
Arthur‐Kelly, Michael, et al.. (2020). Associating Cognitive Functions with Technology Features Used to Support Employment for People with Intellectual and Developmental Disability. Advances in Neurodevelopmental Disorders. 4(4). 413–429. 2 indexed citations
9.
Lombardo, Rosaria, Pieter M. Kroonenberg, & Eric J. Beh. (2016). Modelling Trends in Ordered Three-Way Non-Symmetrical Correspondence Analysis. 1–10. 1 indexed citations
10.
11.
Brown, James, Eric J. Beh, & Irene L. Hudson. (2015). Can we use the approaches of ecological inference to learn about the potential for dependence bias in dual-system estimation? An application to cancer registration data.. RMIT Research Repository (RMIT University Library). 1 indexed citations
12.
13.
Lombardo, Rosaria, Eric J. Beh, & Pieter M. Kroonenberg. (2015). Modelling Trends in Ordered Correspondence Analysis Using Orthogonal Polynomials. Psychometrika. 81(2). 325–349. 14 indexed citations
14.
Cheema, Salman, et al.. (2013). Linking ordinal log-linear models with Correspondence Analysis: an application to estimating drug-likeness in the drug discovery process. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 4 indexed citations
15.
Cheema, Salman, et al.. (2013). On issues concerning the assessment of information contained in aggregate data using the F-statistic. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 1 indexed citations
16.
Peiris, Shelton & Eric J. Beh. (2012). Where statistics teaching can go wrong. International Journal of Innovation in Science and Mathematics Education. 15(1). 1 indexed citations
17.
Lombardo, Rosaria, et al.. (2011). Studying the dependence between ordinal-nominal categorical variables via orthogonal polynomials. Journal of Applied Statistics. 38(10). 2119–2132. 10 indexed citations
18.
Beh, Eric J. & Derek Smith. (2011). Real World Occupational Epidemiology, Part 1: Odds Ratios, Relative Risk, and Asbestosis. Archives of Environmental & Occupational Health. 66(2). 119–123. 8 indexed citations
19.
Lombardo, Rosaria & Eric J. Beh. (2010). Simple and multiple correspondence analysis for ordinal-scale variables using orthogonal polynomials. Journal of Applied Statistics. 37(12). 2101–2116. 16 indexed citations
20.
Beh, Eric J., Biagio Simonetti, & Luigi D’Ambra. (2007). Partitioning a non-symmetric measure of association for three-way contingency tables. Journal of Multivariate Analysis. 98(7). 1391–1411. 23 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shizuhiko Nishisato Breakdown of academic impact, for papers by Rosaria Lombardo Breakdown of academic impact, for papers by Michel van de Velden Breakdown of academic impact, for papers by Rolf E. Bargmann Breakdown of academic impact, for papers by Paola Zuccolotto Breakdown of academic impact, for papers by Wai‐Yin Poon Breakdown of academic impact, for papers by R. Darrell Bock Breakdown of academic impact, for papers by David B. MacKay Breakdown of academic impact, for papers by Fortunato Pesarin Breakdown of academic impact, for papers by Niël le Roux
Rankless by CCL
2026