Jorge G. Morel
- Gastroenterology top 1%
- Molecular Biology
- Food Science top 5%
- Nutrition and Dietetics top 5%
- Surgery
- Co-authors
- Nagaraj K. NeerchalLiam O’MahonyFergus ShanahanPeter J. WhorwellDuane CharbonneauEamonn M.M. QuigleyBarry KielyJames William Anderson
- Topics
- Statistical Methods and Bayesian Inference (18 papers)Bayesian Methods and Mixture Models (8 papers)Statistical Distribution Estimation and Applications (8 papers)
- Journals
- Journal of the American Statistical AssociationAmerican Journal of Clinical NutritionBiometrika
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Jorge G. Morel
23 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Gastroenterology 407
- Molecular Biology 320
- Food Science 212
- Nutrition and Dietetics 199
- Surgery 165
Countries citing papers authored by Jorge G. Morel
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | Overdispersion Models in SAS | 20 |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | Efficacy of an Encapsulated Probiotic Bifidobacterium infantis 35624 in Women with Irritable Bowel Syndromebreakdown → | 579 |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 223 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 44 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 8 | |
| 20 | 1 |
About Jorge G. Morel
Jorge G. Morel is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (18 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Distribution Estimation and Applications (8 papers). The work is most often cited by research in Gastroenterology (407 citations), Pharmacy (160 citations) and Statistics and Probability (163 citations). Jorge G. Morel has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Nagaraj K. Neerchal, Liam O’Mahony, Fergus Shanahan, Peter J. Whorwell, Duane Charbonneau, Eamonn M.M. Quigley, Barry Kiely, James William Anderson, George R. Jerdack and Ann M. Lawrence. Their work appears in journals such as Journal of the American Statistical Association, American Journal of Clinical Nutrition and Biometrika.
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.