Jonathan Montomoli
- Health Informatics top 0.1%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology
- Surgery
- Co-authors
- Valentina BelliniElena BignamiMarco CascellaHenrik Toft SørensenRune ErichsenFederico SemeraroCan İnceOrnella Piazza
- Topics
- Artificial Intelligence in Healthcare and Education (7 papers)Sepsis Diagnosis and Treatment (7 papers)Hemodynamic Monitoring and Therapy (7 papers)
- Partner nations
- ItalyDenmarkSwitzerland
In The Last Decade
Jonathan Montomoli
33 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Health Informatics 554
- Artificial Intelligence 323
- Radiology, Nuclear Medicine and Imaging 273
- Epidemiology 181
- Surgery 155
Countries citing papers authored by Jonathan Montomoli
This map shows the geographic impact of Jonathan Montomoli'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 Jonathan Montomoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Montomoli more than expected).
Fields of papers citing papers by Jonathan Montomoli
This network shows the impact of papers produced by Jonathan Montomoli. 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 Jonathan Montomoli. The network helps show where Jonathan Montomoli may publish in the future.
Co-authorship network of co-authors of Jonathan Montomoli
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Montomoli. A scholar is included among the top collaborators of Jonathan Montomoli 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 Jonathan Montomoli. Jonathan Montomoli 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 | 3 | |
| 3 | 0 | |
| 4 | The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectivesbreakdown → | 100 |
| 5 | 1 | |
| 6 | Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenariosbreakdown → | 656 |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 38 | |
| 15 | 16 | |
| 16 | 15 | |
| 17 | 7 | |
| 18 | 15 | |
| 19 | 39 | |
| 20 | 35 |
About Jonathan Montomoli
Jonathan Montomoli is a scholar working on Health Informatics, Critical Care and Intensive Care Medicine and Internal Medicine, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Sepsis Diagnosis and Treatment (7 papers) and Hemodynamic Monitoring and Therapy (7 papers). The work is most often cited by research in Health Informatics (554 citations), Family Practice (43 citations) and Hepatology (108 citations). Jonathan Montomoli has collaborated with scholars based in Italy, Denmark and Switzerland. Frequent co-authors include Valentina Bellini, Elena Bignami, Marco Cascella, Henrik Toft Sørensen, Rune Erichsen, Federico Semeraro, Can İnce, Ornella Piazza, Abele Donati and Tove Nilsson. Their work appears in journals such as Critical Care Medicine, Critical Care and World Journal of Gastroenterology.
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.