Giovanni Iacca

3.0k total citations
121 papers, 1.7k citations indexed

About

Giovanni Iacca is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Giovanni Iacca has authored 121 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 31 papers in Computational Theory and Mathematics and 17 papers in Computer Networks and Communications. Recurrent topics in Giovanni Iacca's work include Evolutionary Algorithms and Applications (41 papers), Metaheuristic Optimization Algorithms Research (41 papers) and Advanced Multi-Objective Optimization Algorithms (30 papers). Giovanni Iacca is often cited by papers focused on Evolutionary Algorithms and Applications (41 papers), Metaheuristic Optimization Algorithms Research (41 papers) and Advanced Multi-Objective Optimization Algorithms (30 papers). Giovanni Iacca collaborates with scholars based in Italy, Netherlands and United Kingdom. Giovanni Iacca's co-authors include Ferrante Neri, Ernesto Mininno, Fabio Caraffini, Vinícius Veloso de Melo, H. J. Wörtche, Antonio Liotta, Arturo Tejada, Meng‐Hiot Lim, Yew-Soon Ong and Libertario Demi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the Royal Society B Biological Sciences and The Journal of the Acoustical Society of America.

In The Last Decade

Giovanni Iacca

111 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Iacca Italy 20 1.1k 621 250 179 171 121 1.7k
Heming Jia China 22 952 0.9× 331 0.5× 157 0.6× 182 1.0× 181 1.1× 57 1.7k
Krzysztof Socha Belgium 9 922 0.8× 384 0.6× 177 0.7× 200 1.1× 197 1.2× 15 1.7k
Mohammed Alswaitti Malaysia 16 666 0.6× 189 0.3× 125 0.5× 215 1.2× 251 1.5× 21 1.5k
Sankha Subhra Mullick India 8 1.0k 0.9× 567 0.9× 67 0.3× 163 0.9× 207 1.2× 11 1.5k
Juan Zhao China 19 636 0.6× 221 0.4× 168 0.7× 220 1.2× 144 0.8× 106 1.1k
Tong Han China 19 794 0.7× 382 0.6× 105 0.4× 197 1.1× 297 1.7× 50 1.5k
Mohamed A. Tawhid Canada 20 760 0.7× 520 0.8× 87 0.3× 128 0.7× 137 0.8× 65 1.3k
Shimpi Singh Jadon India 10 675 0.6× 276 0.4× 150 0.6× 196 1.1× 244 1.4× 21 1.3k
Gang Hu China 19 605 0.5× 254 0.4× 126 0.5× 185 1.0× 162 0.9× 130 1.5k

Countries citing papers authored by Giovanni Iacca

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Iacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Iacca

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Iacca. A scholar is included among the top collaborators of Giovanni Iacca 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 Giovanni Iacca. Giovanni Iacca 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.
Nawaz, Ali, Ali Hassan Sodhro, Gianluca Aloi, et al.. (2025). Proximity-Aware Federated Learning for Symbiotic Task Offloading in Vehicular-Edge Intelligence. IEEE Internet of Things Journal. 12(20). 41412–41422. 1 indexed citations
2.
Melo, Vinícius Veloso de, et al.. (2024). A co-evolutionary algorithm with adaptive penalty function for constrained optimization. Soft Computing. 28(19). 11343–11376. 3 indexed citations
3.
4.
Bacardit, Jaume, Alexander E. I. Brownlee, Stefano Cagnoni, et al.. (2024). Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems. IEEE Transactions on Evolutionary Computation. 29(5). 2213–2228. 6 indexed citations
5.
Iacca, Giovanni, et al.. (2024). Neuron-centric Hebbian Learning. Proceedings of the Genetic and Evolutionary Computation Conference. 87–95. 1 indexed citations
6.
Falco, Ivanoe De, et al.. (2024). NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks. Proceedings of the Genetic and Evolutionary Computation Conference. 295–303. 1 indexed citations
7.
Roveri, Marco, et al.. (2024). Comparing Large Language Models and Grammatical Evolution for Code Generation. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1830–1837. 2 indexed citations
8.
Iacca, Giovanni, et al.. (2024). Curriculum Learning for Robot Manipulation Tasks With Sparse Reward Through Environment Shifts. IEEE Access. 12. 46626–46635. 1 indexed citations
9.
Iacca, Giovanni, et al.. (2024). Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 655–658. 3 indexed citations
10.
Afrakhteh, Sajjad, et al.. (2023). Increasing frame rate of echocardiography based on a novel 2D spatio-temporal meshless interpolation. Ultrasonics. 131. 106953–106953. 10 indexed citations
11.
Leibo, Joel Z., et al.. (2023). The emergence of division of labour through decentralized social sanctioning. Proceedings of the Royal Society B Biological Sciences. 290(2009). 20231716–20231716. 4 indexed citations
12.
Iacca, Giovanni, et al.. (2023). Quality Diversity Evolutionary Learning of Decision Trees. Institutional Research Information System (Università degli Studi di Trento). 425–432. 7 indexed citations
13.
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
14.
Iacca, Giovanni, et al.. (2022). Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction. Algorithms. 15(3). 98–98. 8 indexed citations
15.
Iacca, Giovanni, et al.. (2022). Evolving Hebbian Learning Rules in Voxel-Based Soft Robots. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1536–1546. 8 indexed citations
16.
Medvet, Eric, et al.. (2021). Optimizing the Sensory Apparatus of Voxel-Based Soft Robots Through Evolution and Babbling. SN Computer Science. 3(2). 9 indexed citations
17.
Iacca, Giovanni, et al.. (2020). Multi-Head CNN-LSTM with Prediction Error Analysis for Remaining Useful Life Prediction. SHILAP Revista de lepidopterología. 164–171. 23 indexed citations
18.
Iacca, Giovanni, et al.. (2020). A GPU-Enabled Compact Genetic Algorithm for Very Large-Scale Optimization Problems. Mathematics. 8(5). 758–758. 8 indexed citations
19.
Mocanu, Decebal Constantin, et al.. (2018). Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution. Proceedings of the Genetic and Evolutionary Computation Conference. 569–576. 12 indexed citations
20.
Bucur, Doina, Giovanni Iacca, Giovanni Squillero, & Alberto Tonda. (2014). The impact of topology on energy consumption for collection tree protocols: An experimental assessment through evolutionary computation. Applied Soft Computing. 16. 210–222. 6 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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