Moreno Ursino
- Statistics and Probability top 2%
- Pulmonary and Respiratory Medicine
- Management Science and Operations Research top 10%
- Economics and Econometrics
- Pediatrics, Perinatology and Child Health
- Co-authors
- Sarah ZoharCorinne AlbertiNigel StallardMauro GaspariniEmmanuelle CometsSatoshi MoritaTim FriedeFrederike Lentz
- Topics
- Statistical Methods in Clinical Trials (23 papers)Optimal Experimental Design Methods (12 papers)Health Systems, Economic Evaluations, Quality of Life (8 papers)
- Cited by
- Statistics and ProbabilityCritical Care and Intensive Care MedicineManagement Science and Operations Research
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Moreno Ursino
35 papers receiving 319 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 150
- Pulmonary and Respiratory Medicine 65
- Management Science and Operations Research 54
- Economics and Econometrics 52
- Pediatrics, Perinatology and Child Health 46
Countries citing papers authored by Moreno Ursino
This map shows the geographic impact of Moreno Ursino'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 Moreno Ursino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moreno Ursino more than expected).
Fields of papers citing papers by Moreno Ursino
This network shows the impact of papers produced by Moreno Ursino. 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 Moreno Ursino. The network helps show where Moreno Ursino may publish in the future.
Co-authorship network of co-authors of Moreno Ursino
This figure shows the co-authorship network connecting the top 25 collaborators of Moreno Ursino. A scholar is included among the top collaborators of Moreno Ursino 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 Moreno Ursino. Moreno Ursino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 20 | |
| 17 | 14 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 17 |
About Moreno Ursino
Moreno Ursino is a scholar working on Statistics and Probability, Management Science and Operations Research and Pharmacology, having authored 42 papers that have together received 324 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (23 papers), Optimal Experimental Design Methods (12 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). The work is most often cited by research in Statistics and Probability (150 citations), Critical Care and Intensive Care Medicine (29 citations) and Management Science and Operations Research (54 citations). Moreno Ursino has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Sarah Zohar, Corinne Alberti, Nigel Stallard, Mauro Gasparini, Emmanuelle Comets, Satoshi Morita, Tim Friede, Frederike Lentz, Olivier Baud and Thomas Schmitz. Their work appears in journals such as PLoS ONE, Biometrics and American Journal of Obstetrics and Gynecology.
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.