Fabio Caraffini

1.9k total citations
85 papers, 1.3k citations indexed

About

Fabio Caraffini is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Fabio Caraffini has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 30 papers in Computational Theory and Mathematics and 8 papers in Management Science and Operations Research. Recurrent topics in Fabio Caraffini's work include Metaheuristic Optimization Algorithms Research (41 papers), Evolutionary Algorithms and Applications (32 papers) and Advanced Multi-Objective Optimization Algorithms (29 papers). Fabio Caraffini is often cited by papers focused on Metaheuristic Optimization Algorithms Research (41 papers), Evolutionary Algorithms and Applications (32 papers) and Advanced Multi-Objective Optimization Algorithms (29 papers). Fabio Caraffini collaborates with scholars based in United Kingdom, Finland and Netherlands. Fabio Caraffini's co-authors include Ferrante Neri, Giovanni Iacca, Anna V. Kononova, Lorenzo Picinali, David Corne, Stefan Kühn, Francisco Chiclana, Mario Góngora, Ernesto Mininno and Mohammad Khishe and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Fabio Caraffini

78 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabio Caraffini United Kingdom 20 867 549 114 110 80 85 1.3k
Saku Kukkonen Finland 12 1.0k 1.2× 983 1.8× 68 0.6× 110 1.0× 138 1.7× 21 1.6k
Dimitris K. Tasoulis Greece 17 1.1k 1.2× 409 0.7× 88 0.8× 144 1.3× 136 1.7× 53 1.5k
Roman Šenkeřík Czechia 20 882 1.0× 270 0.5× 231 2.0× 38 0.3× 161 2.0× 177 1.5k
Brad L. Miller United States 7 786 0.9× 405 0.7× 109 1.0× 100 0.9× 85 1.1× 7 1.5k
Víctor M. Rivas Spain 10 1.2k 1.4× 385 0.7× 183 1.6× 149 1.4× 103 1.3× 23 1.6k
Konstantinos G. Margaritis Greece 18 908 1.0× 306 0.6× 231 2.0× 145 1.3× 82 1.0× 117 1.5k
Cezary Z. Janikow United States 16 1.2k 1.3× 538 1.0× 114 1.0× 138 1.3× 244 3.0× 44 1.9k
Hitoshi Iba Japan 24 889 1.0× 171 0.3× 117 1.0× 134 1.2× 112 1.4× 121 1.4k
Prachi Agrawal India 12 529 0.6× 158 0.3× 220 1.9× 32 0.3× 87 1.1× 39 967
Halina Kwaśnicka Poland 11 406 0.5× 165 0.3× 122 1.1× 61 0.6× 115 1.4× 55 1.0k

Countries citing papers authored by Fabio Caraffini

Since Specialization
Citations

This map shows the geographic impact of Fabio Caraffini'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 Fabio Caraffini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Caraffini more than expected).

Fields of papers citing papers by Fabio Caraffini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Caraffini. 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 Fabio Caraffini. The network helps show where Fabio Caraffini may publish in the future.

Co-authorship network of co-authors of Fabio Caraffini

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

All Works

20 of 20 papers shown
1.
Kühn, Stefan, et al.. (2025). Using generative artificial intelligence to enhance the performance of disadvantaged students in secondary education. Social Sciences & Humanities Open. 12. 102110–102110.
2.
Mamyrbayev, Оrken, et al.. (2025). A joint learning framework for fake news detection. Displays. 90. 103154–103154.
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Caraffini, Fabio, et al.. (2024). An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1838–1845. 1 indexed citations
7.
Caraffini, Fabio, et al.. (2024). Hybrid Summarization of Medical Records for Predicting Length of Stay in the Intensive Care Unit. Applied Sciences. 14(13). 5809–5809. 3 indexed citations
8.
Bonet, Isis, et al.. (2024). Using Artificial Intelligence to Predict the Financial Impact of Climate Transition Risks Within Organisations. International Journal of Intelligent Systems. 2024(1). 1 indexed citations
9.
Kühn, Stefan, et al.. (2023). Direct deduction of chemical class from NMR spectra. Journal of Magnetic Resonance. 348. 107381–107381. 7 indexed citations
10.
Peña, Alejandro, et al.. (2023). An evolutionary intelligent control system for a flexible joints robot. Applied Soft Computing. 135. 110043–110043. 6 indexed citations
11.
Caraffini, Fabio, et al.. (2023). Driving in the Rain: A Survey toward Visibility Estimation through Windshields. International Journal of Intelligent Systems. 2023(1). 10 indexed citations
12.
Caraffini, Fabio, et al.. (2023). Metaheuristics in the Balance: A Survey on Memory‐Saving Approaches for Platforms with Seriously Limited Resources. International Journal of Intelligent Systems. 2023(1). 4 indexed citations
13.
Kim, Yong-Hyuk & Fabio Caraffini. (2023). Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”. Mathematics. 11(5). 1209–1209. 2 indexed citations
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Kononova, Anna V., et al.. (2023). The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. Evolutionary Computation. 32(1). 3–48. 13 indexed citations
16.
Ryan, Alan, et al.. (2022). A Proposed VR Platform for Supporting Blended Learning Post COVID-19. Education Sciences. 12(7). 435–435. 13 indexed citations
17.
Chiclana, Francisco, et al.. (2021). Using self‐organising maps to predict and contain natural disasters and pandemics. International Journal of Intelligent Systems. 37(4). 2739–2757. 3 indexed citations
18.
Caraffini, Fabio, et al.. (2020). A Robust Decision-Making Framework Based on Collaborative Agents. IEEE Access. 8. 150974–150988. 7 indexed citations
19.
Kononova, Anna V., Fabio Caraffini, Hao Wang, & Thomas Bäck. (2020). Can Single Solution Optimisation Methods Be Structurally Biased?. Preprints.org. 1 indexed citations
20.
Caraffini, Fabio, Ferrante Neri, & Lorenzo Picinali. (2014). An analysis on separability for Memetic Computing automatic design. Information Sciences. 265. 1–22. 82 indexed citations

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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