Jonathan M. Garibaldi

233 papers and 5.3k indexed citations i.

About

Jonathan M. Garibaldi is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Jonathan M. Garibaldi has authored 233 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 43 papers in Molecular Biology and 36 papers in Statistics and Probability. Recurrent topics in Jonathan M. Garibaldi’s work include Fuzzy Logic and Control Systems (69 papers), Neural Networks and Applications (37 papers) and Fuzzy Systems and Optimization (29 papers). Jonathan M. Garibaldi is often cited by papers focused on Fuzzy Logic and Control Systems (69 papers), Neural Networks and Applications (37 papers) and Fuzzy Systems and Optimization (29 papers). Jonathan M. Garibaldi collaborates with scholars based in United Kingdom, China and Australia. Jonathan M. Garibaldi's co-authors include Jenna Reps, Nadeem Qureshi, Joe Kai, Stephen Weng, Christian Wagner, Robert John, Daniele Soria, Ian O. Ellis, P.R. Innocent and Heiko Hirschmüller and has published in prestigious journals such as PLoS ONE, Cancer Research and British Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Jonathan M. Garibaldi i

Fields of papers citing papers by Jonathan M. Garibaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Jonathan M. Garibaldi

Since Specialization
Citations

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).

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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