Mario Pavone

1.4k total citations
47 papers, 487 citations indexed

About

Mario Pavone is a scholar working on Biomedical Engineering, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Mario Pavone has authored 47 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 13 papers in Molecular Biology and 13 papers in Artificial Intelligence. Recurrent topics in Mario Pavone's work include Artificial Immune Systems Applications (18 papers), Metaheuristic Optimization Algorithms Research (11 papers) and vaccines and immunoinformatics approaches (6 papers). Mario Pavone is often cited by papers focused on Artificial Immune Systems Applications (18 papers), Metaheuristic Optimization Algorithms Research (11 papers) and vaccines and immunoinformatics approaches (6 papers). Mario Pavone collaborates with scholars based in Italy, United Kingdom and Mexico. Mario Pavone's co-authors include Vincenzo Cutello, Giuseppe Nicosia, Jon Timmis, Carlos A. Coello Coello, Giuseppe Narzisi, Alireza Osareh, Bita Shadgar, David A. Pelta, Natalio Krasnogor and Murat Aslan and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Evolutionary Computation and Applied Soft Computing.

In The Last Decade

Mario Pavone

46 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario Pavone Italy	11	208	192	174	84	66	47	487
Senhua Yu United States	3	218 1.0×	105 0.5×	62 0.4×	49 0.6×	16 0.2×	5	389
Edward Clark United Kingdom	8	186 0.9×	77 0.4×	167 1.0×	54 0.6×	46 0.7×	13	378
Thomas Stibor Germany	9	304 1.5×	137 0.7×	101 0.6×	103 1.2×	13 0.2×	15	433
Jason Brownlee Australia	4	59 0.3×	161 0.8×	43 0.2×	13 0.2×	66 1.0×	14	420
Rajesh Cherukuri United States	2	631 3.0×	289 1.5×	168 1.0×	103 1.2×	12 0.2×	2	816
Franciszek Seredyński Poland	10	65 0.3×	200 1.0×	78 0.4×	11 0.1×	183 2.8×	70	507
Andrew Watkins United States	6	393 1.9×	170 0.9×	197 1.1×	107 1.3×	6 0.1×	13	528
Lois Boggess United States	10	415 2.0×	300 1.6×	228 1.3×	114 1.4×	11 0.2×	20	702

Countries citing papers authored by Mario Pavone

Since Specialization

Citations

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

Fields of papers citing papers by Mario Pavone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Pavone

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Pavone. A scholar is included among the top collaborators of Mario Pavone 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 Mario Pavone. Mario Pavone 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

Cutello, Vincenzo, et al.. (2025). Data-driven forecasting and its role in enhanced decision-making. Engineering Applications of Artificial Intelligence. 154. 110934–110934. 1 indexed citations

Talbi, El‐Ghazali, et al.. (2025). Metaheuristics in automated machine learning: Strategies for optimization. Intelligent Systems with Applications. 26. 200532–200532. 2 indexed citations

Cutello, Vincenzo, et al.. (2024). Group Dynamics in Memory-Enhanced Ant Colonies: The Influence of Colony Division on a Maze Navigation Problem. Algorithms. 17(2). 63–63. 1 indexed citations

Cutello, Vincenzo, et al.. (2024). Efficient heuristics to compute minimal and stable feedback arc sets. Journal of Combinatorial Optimization. 48(4).

Cutello, Vincenzo, et al.. (2023). Machine Learning and Genetic Algorithms: A case study on image reconstruction. Knowledge-Based Systems. 284. 111194–111194. 29 indexed citations

Tiwari, Ritu, Mario Pavone, & Mukesh Saraswat. (2023). Proceedings of International Conference on Computational Intelligence. Algorithms for intelligent systems. 3 indexed citations

Pavone, Mario, et al.. (2023). A sensitivity analysis of parameters in an agent-based model for crowd simulations. Applied Soft Computing. 146. 110684–110684. 1 indexed citations

Cutello, Vincenzo, et al.. (2023). A Machine Learning Approach to Simulate Gene Expression and Infer Gene Regulatory Networks. Entropy. 25(8). 1214–1214. 9 indexed citations

Gaspero, Luca Di, Paola Festa, Amir Nakib, & Mario Pavone. (2023). Metaheuristics. Lecture notes in computer science. 2 indexed citations

10.

Cutello, Vincenzo, et al.. (2023). Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques. Frontiers in Big Data. 6. 1179625–1179625. 6 indexed citations

11.

Cutello, Vincenzo, et al.. (2023). Random search immune algorithm for community detection. Soft Computing. 27(12). 8061–8090. 4 indexed citations

12.

Cutello, Vincenzo, et al.. (2023). Discovering Entities Similarities in Biological Networks Using a Hybrid Immune Algorithm. Informatics. 10(1). 18–18. 1 indexed citations

13.

Stefano, Antonino Di, A. Vitale, Vincenzo Cutello, & Mario Pavone. (2016). How long should offspring lifespan be in order to obtain a proper exploration?. 1–8. 7 indexed citations

14.

Pavone, Mario & Carlos A. Coello Coello. (2012). Optimization on complex systems. Memetic Computing. 4(3). 163–164. 3 indexed citations

15.

Costanza, Jole, Vincenzo Cutello, Luca Zammataro, et al.. (2011). Effective calibration of artificial gene regulatory networks.. 39–46. 1 indexed citations

16.

Cutello, Vincenzo, et al.. (2010). Protein multiple sequence alignment by hybrid bio-inspired algorithms. Nucleic Acids Research. 39(6). 1980–1992. 17 indexed citations

17.

Cutello, Vincenzo, Giuseppe Nicosia, Mario Pavone, & Giovanni Stracquadanio. (2010). Entropic divergence for population based optimization algorithms. 1–8. 5 indexed citations

18.

Krasnogor, Natalio, Giuseppe Nicosia, Mario Pavone, & David A. Pelta. (2008). Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) (Studies in Computational Intelligence) (Studies in Computational Intelligence) XXXX. Springer eBooks. 10 indexed citations

19.

Cutello, Vincenzo, et al.. (2006). Aligning multiple protein sequences by hybrid clonal selection algorithm with insert-remove-gaps and blockshuffling operators. 2 indexed citations

20.

Cutello, Vincenzo, Giuseppe Nicosia, & Mario Pavone. (2006). An immune algorithm with stochastic aging and kullback entropy for the chromatic number problem. Journal of Combinatorial Optimization. 14(1). 9–33. 23 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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