Jorge G. Morel

1.6k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Jorge G. Morel is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Jorge G. Morel has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Jorge G. Morel's work include Statistical Methods and Bayesian Inference (18 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Distribution Estimation and Applications (8 papers). Jorge G. Morel is often cited by papers focused on Statistical Methods and Bayesian Inference (18 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Distribution Estimation and Applications (8 papers). Jorge G. Morel collaborates with scholars based in United States, Ireland and United Kingdom. Jorge G. Morel's co-authors include Nagaraj K. Neerchal, Liam O’Mahony, Fergus Shanahan, Peter J. Whorwell, Barry Kiely, Eamonn M.M. Quigley, Duane Charbonneau, Ann M. Lawrence, David A. Hengehold and James William Anderson and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Clinical Nutrition and Biometrika.

In The Last Decade

Jorge G. Morel

23 papers receiving 1.0k citations

Hit Papers

Efficacy of an Encapsulat... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge G. Morel United States 9 407 320 212 199 165 24 1.1k
Nataliya Sokolovska France 11 94 0.2× 1.3k 4.0× 171 0.8× 167 0.8× 333 2.0× 33 2.0k
Ingeborg Bovee-Oudenhoven Netherlands 21 102 0.3× 642 2.0× 379 1.8× 708 3.6× 168 1.0× 36 1.5k
Jordi Espadaler Spain 21 40 0.1× 696 2.2× 262 1.2× 132 0.7× 65 0.4× 54 1.4k
Hanne Rolighed Christensen Denmark 14 27 0.1× 417 1.3× 433 2.0× 165 0.8× 105 0.6× 55 1.6k
Matthew C. B. Tsilimigras United States 14 43 0.1× 473 1.5× 39 0.2× 25 0.1× 83 0.5× 16 713
Hanieh‐Sadat Ejtahed Iran 25 81 0.2× 706 2.2× 160 0.8× 193 1.0× 120 0.7× 125 1.8k
Edi Prifti France 19 163 0.4× 2.1k 6.6× 279 1.3× 257 1.3× 367 2.2× 44 3.0k
Kristien E. Bouter Netherlands 9 273 0.7× 1.4k 4.4× 138 0.7× 148 0.7× 179 1.1× 11 1.9k
Douglas Rosendale New Zealand 19 70 0.2× 564 1.8× 266 1.3× 187 0.9× 62 0.4× 42 1.1k
Mary Feeney United States 10 59 0.1× 290 0.9× 224 1.1× 105 0.5× 523 3.2× 19 1.9k

Countries citing papers authored by Jorge G. Morel

Since Specialization
Citations

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

Fields of papers citing papers by Jorge G. Morel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge G. Morel. 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 Jorge G. Morel. The network helps show where Jorge G. Morel may publish in the future.

Co-authorship network of co-authors of Jorge G. Morel

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge G. Morel. A scholar is included among the top collaborators of Jorge G. Morel 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 Jorge G. Morel. Jorge G. Morel 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.
Neerchal, Nagaraj K., et al.. (2017). An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions. Journal of Computational and Graphical Statistics. 27(3). 587–601. 1 indexed citations
2.
Neerchal, Nagaraj K., et al.. (2015). An approximation to the information matrix of exponential family finite mixtures. Annals of the Institute of Statistical Mathematics. 69(2). 333–364. 1 indexed citations
3.
Morel, Jorge G. & Nagaraj K. Neerchal. (2012). Overdispersion Models in SAS. 20 indexed citations
4.
Gobbert, Matthias K., et al.. (2012). Maximum-likelihood estimation of the random-clumped multinomial model as a prototype problem for large-scale statistical computing. Journal of Statistical Computation and Simulation. 83(12). 2178–2194. 2 indexed citations
5.
Morel, Jorge G. & Nagaraj K. Neerchal. (2012). Sample Size Determination for Alternate Periods of Use Study Designs with Binary Responses. Journal of Biopharmaceutical Statistics. 22(2). 351–367.
6.
Morel, Jorge G., et al.. (2007). Optimization of the skin multiple analyte profile bioanalytical method for determination of skin biomarkers from D‐Squame® tape samples. Skin Research and Technology. 13(3). 330–342. 19 indexed citations
7.
Sutradhar, Santosh, Nagaraj K. Neerchal, & Jorge G. Morel. (2007). A goodness-of-fit test for overdispersed binomial (or multinomial) models. Journal of Statistical Planning and Inference. 138(5). 1459–1471. 2 indexed citations
8.
Whorwell, Peter J., Jorge G. Morel, Duane Charbonneau, et al.. (2006). Efficacy of an Encapsulated Probiotic Bifidobacterium infantis 35624 in Women with Irritable Bowel Syndrome. The American Journal of Gastroenterology. 101(7). 1581–1590. 579 indexed citations breakdown →
9.
Whorwell, Peter J., et al.. (2005). Who Is the Responder to Probiotic Therapy in IBS? Data from a Controlled Clinical Trial with Bifidobacterium infantis 35624. The American Journal of Gastroenterology. 100. S325–S326. 1 indexed citations
10.
Neerchal, Nagaraj K. & Jorge G. Morel. (2004). An improved method for the computation of maximum likeliood estimates for multinomial overdispersion models. Computational Statistics & Data Analysis. 49(1). 33–43. 16 indexed citations
11.
Morel, Jorge G., et al.. (2003). Small Sample Correction for the Variance of GEE Estimators. Biometrical Journal. 45(4). 395–409. 137 indexed citations
12.
Anderson, James William, et al.. (2000). Cholesterol-lowering effects of psyllium intake adjunctive to diet therapy in men and women with hypercholesterolemia: meta-analysis of 8 controlled trials. American Journal of Clinical Nutrition. 71(2). 472–479. 223 indexed citations
13.
Neerchal, Nagaraj K. & Jorge G. Morel. (1998). Large Cluster Results for Two Parametric Multinomial Extra Variation Models. Journal of the American Statistical Association. 93(443). 1078–1078. 3 indexed citations
14.
Morel, Jorge G. & Nagaraj K. Neerchal. (1997). Clustered binary logistic regression in teratology data using a finite mixture distribution. Statistics in Medicine. 16(24). 2843–2853. 6 indexed citations
15.
Morel, Jorge G. & Kenneth J. Koehler. (1995). A One-Step Gauss-Newton Estimator for Modelling Categorical Data with Extraneous Variation. Journal of the Royal Statistical Society Series C (Applied Statistics). 44(2). 187–187. 4 indexed citations
16.
Morel, Jorge G., et al.. (1993). A finite mixture distribution for modelling multinomial extra variation. Biometrika. 80(2). 363–371. 44 indexed citations
17.
Morel, Jorge G., et al.. (1993). A Finite Mixture Distribution for Modelling Multinomial Extra Variation. Biometrika. 80(2). 363–363. 3 indexed citations
18.
Hartsfield, James K., Mi‐Kyung Lee, Jorge G. Morel, & Don R. Hilbelink. (1992). Statistical analysis of the effect of cadmium and zinc on hamster teratogenesis. Biochemical Medicine and Metabolic Biology. 48(2). 159–173. 10 indexed citations
19.
Blair, R. Clifford & Jorge G. Morel. (1992). On the use of the generalized t and generalized rank‐sum statistics in medical research. Statistics in Medicine. 11(4). 491–501. 8 indexed citations
20.
Blair, R. Clifford & Jorge G. Morel. (1992). Rejoinder. Statistics in Medicine. 11(4). 507–509. 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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