Jonathan M. Garibaldi

10.2k total citations · 1 hit paper
274 papers, 6.5k citations indexed

About

Jonathan M. Garibaldi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Jonathan M. Garibaldi has authored 274 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Artificial Intelligence, 48 papers in Management Science and Operations Research and 46 papers in Molecular Biology. Recurrent topics in Jonathan M. Garibaldi's work include Fuzzy Logic and Control Systems (84 papers), Neural Networks and Applications (45 papers) and Fuzzy Systems and Optimization (36 papers). Jonathan M. Garibaldi is often cited by papers focused on Fuzzy Logic and Control Systems (84 papers), Neural Networks and Applications (45 papers) and Fuzzy Systems and Optimization (36 papers). Jonathan M. Garibaldi collaborates with scholars based in United Kingdom, China and United States. Jonathan M. Garibaldi's co-authors include Robert John, Jenna Reps, Stephen Weng, Nadeem Qureshi, Joe Kai, Christian Wagner, P.R. Innocent, Daniele Soria, Heiko Hirschmüller and Ian O. Ellis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Jonathan M. Garibaldi

270 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

2017 820 citations Jenna Reps, Jonathan M. Garibaldi et al. profile →

Peers

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Garibaldi. A scholar is included among the top collaborators of Jonathan M. Garibaldi 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 M. Garibaldi. Jonathan M. Garibaldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation 2025 ·IEEE Transactions on Circuits and Systems for Video Technology ·Qing Xu, Jiaxuan Li, Xiangjian He, (unknown), (unknown), Wenting Duan, Zhen Chen, Rong Qu, Jonathan M. Garibaldi, Chang Wen Chen	1
2	SoftED: Metrics for soft evaluation of time series event detection 2024 ·Computers & Industrial Engineering ·(unknown), (unknown), (unknown), (unknown), Esther Pacitti, Florent Masséglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo Ogasawara	3
3	A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem 2024 ·Expert Systems with Applications ·(unknown), Jiawei Li, Tianxiang Cui, Huan Jin, Ruibin Bai, Rong Qu, Jonathan M. Garibaldi	3
4	Reshaping Wearable Robots Using Fuzzy Intelligence: Integrating Type-2 Fuzzy Decision, Intelligent Control, and Origami Structure 2023 ·IEEE Transactions on Fuzzy Systems ·(unknown), Jonathan M. Garibaldi, Zhijun Li	7
5	A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty 2022 ·IEEE Transactions on Fuzzy Systems ·Lin Qiao, Xin Chen, Chao Chen, Jonathan M. Garibaldi	14
6	Lessons learned from the COVID-19 pandemic about sample access for research in the UK 2022 ·BMJ Open ·(unknown), (unknown), (unknown), Amir Gander, Barry Fuller, Brian R Davidson, Jonathan M. Garibaldi, Philip Quinlan	4
7	The Barriers and Motivators to Using Human Tissues for Research: The Views of UK-Based Biomedical Researchers 2020 ·Biopreservation and Biobanking ·(unknown), (unknown), Amir Gander, Jonathan M. Garibaldi, Barry Fuller, Brian R Davidson, Philip Quinlan	26
8	Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification 2019 ·Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jonathan M. Garibaldi, Ian O. Ellis, Andrew R. Green, Linlin Shen, Guoping Qiu	24
9	Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom 2018 ·IEEE Transactions on Intelligent Transportation Systems ·Grazziela P. Figueredo, Utkarsh Agrawal, (unknown), Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer‐Olaf Siebers, Robert John	23
10	A signalome screening approach in the autoinflammatory disease TNF receptor associated periodic syndrome (TRAPS) highlights the anti-inflammatory properties of drugs for repurposing 2017 ·Pharmacological Research ·Ian Todd, Ola H. Negm, Jenna Reps, Paul Radford, Grazziela P. Figueredo, Elizabeth McDermott, Elizabeth Drewe, Richard J. Powell, (unknown), Mohamed Hamed, (unknown), Jonathan M. Garibaldi, Stephen A. St-Gallay, Lucy C. Fairclough, Patrick J. Tighe	8
11	Positive mood on the day of influenza vaccination predicts vaccine effectiveness: A prospective observational cohort study 2017 ·Brain Behavior and Immunity ·Kieran Ayling, Lucy C. Fairclough, Patrick J. Tighe, Ian Todd, Vanessa Halliday, Jonathan M. Garibaldi, Simon Royal, (unknown), Heather Buchanan, Kavita Vedhara	30
12	Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer 2016 ·Breast Cancer Research and Treatment ·Andrew R. Green, Daniele Soria, Des G. Powe, Chris Nolan, Mohammed A. Aleskandarany, Marcell A. Szász, Anna‐Mária Tõkés, Graham Ball, Jonathan M. Garibaldi, Emad A. Rakha, Janina Kulka, Ian O. Ellis	22
13	A Data-Centric Strategy for Modern Biobanking 2015 ·Advances in experimental medicine and biology ·Philip Quinlan, Stephen Gardner, (unknown), Richard D. Emes, Jonathan M. Garibaldi	5
14	Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer 2014 ·British Journal of Cancer ·Emad A. Rakha, Daniele Soria, Andrew R. Green, Christophe Lemetre, D. G. Powe, Chris Nolan, Jonathan M. Garibaldi, Graham Ball, Ian O. Ellis	71
15	MysiRNA: Improving siRNA efficacy prediction using a machine-learning model combining multi-tools and whole stacking energy (ΔG) 2012 ·Journal of Biomedical Informatics ·Mohamed Mysara, Mahmoud ElHefnawi, Jonathan M. Garibaldi	15
16	Learning pathway-based decision rules to classify microarray cancer samples 2010 ·Open Repository and Bibliography (University of Luxembourg) ·Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasnogor	5
17	Global Histone Modifications in Breast Cancer Correlate with Tumor Phenotypes, Prognostic Factors, and Patient Outcome 2009 ·Cancer Research ·Somaia Elsheikh, Andrew R. Green, Emad A. Rakha, Des G. Powe, Rabab A. Ahmed, Hilary M. Collins, Daniele Soria, Jonathan M. Garibaldi, Claire E. Paish, Amr Ammar, Matthew J. Grainge, Graham Ball, Magdy K. Abdelghany, Luisa Martı́nez-Pomares, David M. Heery, Ian O. Ellis	366
18	A Comparison of Fuzzy and Non-Fuzzy Ordering Heuristics for Examination Timetabling 2004 ·Hishammuddin Asmuni, Edmund Burke, Jonathan M. Garibaldi	4
19	Investigating Adaptation in Type-2 Fuzzy Logic Systems Applied to Umbilical Acid-Base Assessment 2003 ·(unknown), Jonathan M. Garibaldi	31
20	The Validation of a Fuzzy Expert System for Umbilical Cord Acid-Base Analysis 1998 ·Jonathan M. Garibaldi, (unknown), Emmanuel Ifeachor	3

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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