The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jonathan M. Garibaldi sits on this spectrum.
This scientist: 341 publications — 83rd percentile
83% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jonathan M. Garibaldi sits on this spectrum.
This scientist: 47 D-Index — 52nd percentile
52% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Jonathan M. Garibaldi is affiliated with the University of Nottingham in the United Kingdom and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence and its applications. Their research encompasses various subfields including artificial intelligence, computer vision and pattern recognition, management science and operations research, industrial and manufacturing engineering, and computational theory and mathematics.
Their main topics of research activity cover fuzzy logic and control systems, neural networks and applications, data stream mining techniques, multi-criteria decision making, rough sets and fuzzy logic, medical image segmentation techniques, and advanced neural network applications.
Jonathan M. Garibaldi's recent publications include:
The scientist frequently publishes in venues such as:
Jonathan M. Garibaldi has collaborated extensively with several frequent co-authors, including Steven Heffner, Carmen S. Menoni, Evan Ackerman, Philip Ross, and Eliza Strickland.
In addition to journal articles and conference papers, Jonathan M. Garibaldi has published books with Springer Nature, including two editions of "Computational Intelligence" in 2021 and 2023.
The scientist was recognized as an IEEE Fellow in 2021 for contributions to computational intelligence techniques in data analysis and decision support.
Stephen F. Weng;Jenna Reps;Joe Kai;Jonathan M. Garibaldi
Unknown
Leah R. Band;Darren M. Wells;Antoine Larrieu;Jianyong Sun
J.B. Tilbury;W.J. Van Eetvelt;J.M. Garibaldi;J.S.H. Curnsw
Jianyong Sun;Jonathan M. Garibaldi;Charlie Hodgman
J.M. Garibaldi;T. Ozen
Robert D. F. Keith;Sarah Beckley;Jonathan M. Garibaldi;Jenny A. Westgate
Daniele Soria;Jonathan M. Garibaldi;Federico Ambrogi;Elia M. Biganzoli
Joseph L Baxter;Edmund Burke;Jonathan M Garibaldi;Mark Norman
Shang-Ming Zhou;Francisco Chiclana;Robert I. John;Jonathan M. Garibaldi
Hishammuddin Asmuni;Edmund K. Burke;Jonathan M. Garibaldi;Barry McCollum
Enrico Glaab;Jaume Bacardit;Jonathan M. Garibaldi;Natalio Krasnogor
Christian Wagner;Simon Miller;Jonathan M. Garibaldi;Derek T. Anderson
Hui Yang;Jonathan M. Garibaldi
Enrico Glaab;Jonathan M Garibaldi;Natalio Krasnogor
H. Hirschmuller;P.R. Innocent;J.M. Garibaldi
D. Ouelhadj;J. Garibaldi;J. MacLaren;R. Sakellariou
J.M. Garibaldi;M. Jaroszewski;S. Musikasuwan
Pooja Jain;Jonathan M. Garibaldi;Jonathan D. Hirst
A.M. Whitbrook;U. Aickelin;J.M. Garibaldi
Robert Oates;Julie Greensmith;Uwe Aickelin;Jonathan Garibaldi
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