Jules L. Ellis

604 total citations
24 papers, 413 citations indexed

About

Jules L. Ellis is a scholar working on Statistics and Probability, Management Science and Operations Research and Experimental and Cognitive Psychology. According to data from OpenAlex, Jules L. Ellis has authored 24 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Jules L. Ellis's work include Psychometric Methodologies and Testing (6 papers), Statistical Methods in Clinical Trials (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Jules L. Ellis is often cited by papers focused on Psychometric Methodologies and Testing (6 papers), Statistical Methods in Clinical Trials (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Jules L. Ellis collaborates with scholars based in Netherlands, United States and Poland. Jules L. Ellis's co-authors include Brian W. Junker, Arnold L. van den Wollenberg, Klaas Sijtsma, L Jaworska-Feil, Bogusława Budziszewska, Władysław Lasoń, Gilles van Luijtelaar, Denny Borsboom, A.M.L. Coenen and Jurjen Bosga and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Epidemiology and Personality and Individual Differences.

In The Last Decade

Jules L. Ellis

21 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jules L. Ellis Netherlands	11	120	102	102	59	52	24	413
J. Jack McArdle United States	6	90 0.8×	149 1.5×	120 1.2×	69 1.2×	66 1.3×	10	511
Kensuke Okada Japan	13	79 0.7×	46 0.5×	74 0.7×	28 0.5×	114 2.2×	47	522
Deborah L. Schnipke United States	9	99 0.8×	139 1.4×	300 2.9×	113 1.9×	53 1.0×	23	575
Junhao Pan China	15	50 0.4×	172 1.7×	18 0.2×	27 0.5×	205 3.9×	73	642
Jochen Ranger Germany	12	103 0.9×	130 1.3×	173 1.7×	62 1.1×	38 0.7×	40	420
Mark Daniel United States	9	43 0.4×	302 3.0×	30 0.3×	14 0.2×	167 3.2×	12	613
Peter W. van Rijn United States	13	64 0.5×	62 0.6×	127 1.2×	63 1.1×	21 0.4×	42	455
Yvonnick Noël France	10	103 0.9×	55 0.5×	37 0.4×	14 0.2×	80 1.5×	20	254
Zachary F. Fisher United States	11	33 0.3×	102 1.0×	33 0.3×	18 0.3×	75 1.4×	31	268
Rudolf Debelak Switzerland	14	36 0.3×	86 0.8×	73 0.7×	40 0.7×	87 1.7×	35	402

Countries citing papers authored by Jules L. Ellis

Since Specialization

Citations

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

Fields of papers citing papers by Jules L. Ellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jules L. Ellis. 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 Jules L. Ellis. The network helps show where Jules L. Ellis may publish in the future.

Co-authorship network of co-authors of Jules L. Ellis

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

All Works

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20 of 20 papers shown

Ellis, Jules L., L. Andries van der Ark, & Klaas Sijtsma. (2025). An Overall Test of Pairwise Mean Conditional Covariances in IRT. Psychometrika. 90(1). 384–414.

Ellis, Jules L. & Klaas Sijtsma. (2024). Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality. Psychometrika. 89(3). 774–795. 3 indexed citations

Ellis, Jules L., et al.. (2024). Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task. Psychometrika. 89(4). 1280–1303. 1 indexed citations

Sijtsma, Klaas, Jules L. Ellis, & Denny Borsboom. (2024). Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment. Psychometrika. 89(1). 84–117. 26 indexed citations

Sijtsma, Klaas, Jules L. Ellis, & Denny Borsboom. (2024). Rejoinder to McNeish and Mislevy: What Does Psychological Measurement Require?. Psychometrika. 89(4). 1175–1185.

Aarts, Johanna W. M., et al.. (2023). Is it fun or is it hard? Studying physician-related attributes of shared decision-making by ranking case vignettes. SHILAP Revista de lepidopterología. 3. 100208–100208. 2 indexed citations

Ellis, Jules L. & Klaas Sijtsma. (2023). A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models. Psychometrika. 88(2). 387–412. 3 indexed citations

Ellis, Jules L.. (2021). A Test Can Have Multiple Reliabilities. Psychometrika. 86(4). 869–876. 12 indexed citations

Postma, Simone, Henk Schers, Jules L. Ellis, et al.. (2020). Primary care functioning scale showed validity and reliability in patients with chronic conditions: a psychometric study. Journal of Clinical Epidemiology. 125. 130–137. 2 indexed citations

10.

Ellis, Jules L.. (2020). A Simple Model to Determine the Efficient Duration of Exams. Educational and Psychological Measurement. 81(3). 549–568. 1 indexed citations

11.

Ellis, Jules L., Jakub Pecanka, & Jelle J. Goeman. (2018). Gaining power in multiple testing of interval hypotheses via conditionalization. Biostatistics. 21(2). e65–e79. 4 indexed citations

12.

Ellis, Jules L.. (2016). Applying statistics in behavioural research. Data Archiving and Networked Services (DANS). 10 indexed citations

13.

Ellis, Jules L.. (2013). An Inequality for Correlations in Unidimensional Monotone Latent Variable Models for Binary Variables. Psychometrika. 79(2). 303–316. 12 indexed citations

14.

Ellis, Jules L.. (2013). Probability interpretations of intraclass reliabilities. Statistics in Medicine. 32(26). 4596–4608. 6 indexed citations

15.

Ellis, Jules L.. (2012). A standard for test reliability in group research. Behavior Research Methods. 45(1). 16–24. 22 indexed citations

16.

Luijtelaar, Gilles van, Bogusława Budziszewska, L Jaworska-Feil, et al.. (2001). The ovarian hormones and absence epilepsy: a long-term EEG study and pharmacological effects in a genetic absence epilepsy model. Epilepsy Research. 46(3). 225–239. 51 indexed citations

17.

Ellis, Jules L.. (1993). Subpopulation invariance of patterns in covariance matrices. British Journal of Mathematical and Statistical Psychology. 46(2). 231–254. 17 indexed citations

18.

Ellis, Jules L. & Arnold L. van den Wollenberg. (1993). Local Homogeneity in Latent Trait Models. A Characterization of the Homogeneous Monotone IRT Model. Psychometrika. 58(3). 417–429. 40 indexed citations

19.

Roskam, Edward E. & Jules L. Ellis. (1992). Commentary on Guttman: The Irrelevance of Factor Analysis for the Study of Group Differences. Multivariate Behavioral Research. 27(2). 205–218. 4 indexed citations

20.

Roskam, Edward E. & Jules L. Ellis. (1992). Reaction to Other Commentaries. Multivariate Behavioral Research. 27(2). 249–252. 1 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.

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