Eric J. Beh

2.0k citations
112 papers · 1.1k · h-index 18

Impact in

Papers in

    • Sensory Analysis and Statistical Methods 67
    • Advanced Statistical Methods and Models 33
    • Statistical Methods and Applications 10
    • Statistical Methods and Bayesian Inference 10

Eric J. Beh

104 papers receiving 1.1k citations

Peers

Eric J. Beh
Comparison fields: 5 of 150
  • Computational Mathematics 37
  • Statistics and Probability 329
  • Food Science 566
  • Tourism, Leisure and Hospitality Management 15
  • Analytical Chemistry 60
Replace Shizuhiko Nishisato with:
Shizuhiko Nishisato Canada
Rosaria Lombardo Italy
Michel van de Velden Netherlands
Rolf E. Bargmann United States
James C. Lingoes United States
David B. MacKay United States
Fortunato Pesarin Italy
R. Darrell Bock Russia
Andrew K. Clark Canada
Chikio Hayashi Japan
Eric J. Beh relative to Shizuhiko Nishisato Canada Shizuhiko Nishisato's profile →
Citations per field
00.5×7.9×
Shizuhiko Nishisato · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eric J. Beh, 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 Eric J. Beh Line = papers co-authored together Eric J. Beh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004126
2
Correspondence Analysis: Theory, Practice and New Strategies
201497
3 199756
4 201251
5 199835
6 200132
7 199831
8 200530
9 200729
10 201027
11 200725
12 199925
13 200424
14 201022
15 201019
16 200919
17 202117
18 201817
19 200717
20 200916

About Eric J. Beh

Eric J. Beh is a scholar working on Food Science, Statistics and Probability, Artificial Intelligence, Analytical Chemistry and Signal Processing, having authored 112 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (67 papers), Advanced Statistical Methods and Models (33 papers), Statistical Methods and Applications (10 papers), Spectroscopy and Chemometric Analyses (10 papers), Statistical Methods and Bayesian Inference (10 papers), Blind Source Separation Techniques (5 papers), Bayesian Modeling and Causal Inference (5 papers) and Cognitive and psychological constructs research (4 papers). The work is most often cited by research in Computational Mathematics (37 citations), Statistics and Probability (329 citations), Food Science (566 citations), Tourism, Leisure and Hospitality Management (15 citations) and Analytical Chemistry (60 citations). Eric J. Beh has collaborated with scholars based in Australia, Italy and South Africa. Frequent co-authors include Rosaria Lombardo, Luigi D’Ambra, Pamela J. Davy, Biagio Simonetti, David Steel, Derek Smith, Pietro Amenta, Thomas B. Farver, Irene L. Hudson and J. C. W. Rayner. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Statistical Planning and Inference, International Statistical Review, Food Quality and Preference and Journal of the Royal Statistical Society Series A (Statistics in Society).

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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