Jonathan M. Garibaldi
Impact in
- Health Information Management top 0.1%
- Artificial Intelligence in Healthcare
- Health Informatics top 1%
Papers in
-
- Fuzzy Logic and Control Systems 83
- Neural Networks and Applications 44
- Advanced Clustering Algorithms Research 10
-
- Multi-Criteria Decision Making 35
- Co-authors
- Robert John (41 shared papers)Jenna Reps (11 shared papers)Joe Kai (1 shared paper)Nadeem Qureshi (1 shared paper)Stephen Weng (1 shared paper)Christian Wagner (45 shared papers)P.R. Innocent (5 shared papers)Daniele Soria (34 shared papers)
- Journals
- IEEE Transactions on Fuzzy Systems (23 papers)PLoS ONE (6 papers)Artificial Intelligence in Medicine (5 papers)Journal of Biomedical Informatics (5 papers)British Journal of Cancer (4 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Jonathan M. Garibaldi
269 papers receiving 6.3k citations
Jonathan M. Garibaldi's Hit Papers
Peers
Comparison fields: 5 of 199
- Health Information Management 469
- Health Informatics 120
- Management Science and Operations Research 935
- Artificial Intelligence 2.3k
- Statistics and Probability 554
Countries citing papers authored by Jonathan M. Garibaldi
This map shows the geographic impact of Jonathan M. Garibaldi'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 M. Garibaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Garibaldi more than expected).
Fields of papers citing papers by Jonathan M. Garibaldi
This network shows the impact of papers produced by Jonathan M. Garibaldi. 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 M. Garibaldi. The network helps show where Jonathan M. Garibaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Garibaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 275 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Can machine-learning improve cardiovascular risk prediction using routine clinical data? Hit paper breakdown → | 2017 | 848 |
| 2 | 2009 | 369 | |
| 3 | 2002 | 314 | |
| 4 | 2017 | 191 | |
| 5 | 1994 | 188 | |
| 6 | 2008 | 134 | |
| 7 | 2011 | 121 | |
| 8 | 2007 | 117 | |
| 9 | 2011 | 116 | |
| 10 | 1995 | 100 | |
| 11 | 2014 | 96 | |
| 12 | 2012 | 89 | |
| 13 | 2009 | 79 | |
| 14 | 2008 | 78 | |
| 15 | 2014 | 73 | |
| 16 | 2009 | 70 | |
| 17 | 2015 | 68 | |
| 18 | 2004 | 64 | |
| 19 | 2015 | 63 | |
| 20 | 2010 | 60 |
About Jonathan M. Garibaldi
Jonathan M. Garibaldi is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Molecular Biology and Computer Vision and Pattern Recognition, having authored 275 papers that have together received 6.6k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (83 papers), Neural Networks and Applications (44 papers), Fuzzy Systems and Optimization (36 papers), Multi-Criteria Decision Making (35 papers), Rough Sets and Fuzzy Logic (18 papers), Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (12 papers) and Advanced Clustering Algorithms Research (10 papers). The work is most often cited by research in Health Information Management (469 citations), Health Informatics (120 citations), Management Science and Operations Research (935 citations), Artificial Intelligence (2.3k citations) and Statistics and Probability (554 citations). Jonathan M. Garibaldi has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Robert John, Jenna Reps, Joe Kai, Nadeem Qureshi, Stephen Weng, Christian Wagner, P.R. Innocent, Daniele Soria, Heiko Hirschmüller and Ian O. Ellis. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, PLoS ONE, Artificial Intelligence in Medicine, Journal of Biomedical Informatics and British Journal of Cancer.
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.