Antonio Della Cioppa

2.0k total citations
78 papers, 1.2k citations indexed

About

Antonio Della Cioppa is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Antonio Della Cioppa has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Antonio Della Cioppa's work include Evolutionary Algorithms and Applications (32 papers), Metaheuristic Optimization Algorithms Research (28 papers) and Diabetes Management and Research (12 papers). Antonio Della Cioppa is often cited by papers focused on Evolutionary Algorithms and Applications (32 papers), Metaheuristic Optimization Algorithms Research (28 papers) and Diabetes Management and Research (12 papers). Antonio Della Cioppa collaborates with scholars based in Italy, Czechia and United States. Antonio Della Cioppa's co-authors include Ivanoe De Falco, Ernesto Tarantino, Angelo Marcelli, Umberto Scafuri, Claudio De Stefano, Domenico Quagliarella, Domenico Maisto, Rosa Senatore, Giuseppe A. Trunfio and Antonio Parziale and has published in prestigious journals such as Sensors, Pattern Recognition and Information Sciences.

In The Last Decade

Antonio Della Cioppa

75 papers receiving 1.2k citations

Peers

Countries citing papers authored by Antonio Della Cioppa

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Della Cioppa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Della Cioppa. 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 Antonio Della Cioppa. The network helps show where Antonio Della Cioppa may publish in the future.

Co-authorship network of co-authors of Antonio Della Cioppa

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Della Cioppa. A scholar is included among the top collaborators of Antonio Della Cioppa 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 Antonio Della Cioppa. Antonio Della Cioppa 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	An Explainable Deep Learning Framework with Adaptive Feature Selection for Smart Lemon Disease Classification in Agriculture 2025 ·Electronics ·(unknown), Michelina Ruocco, Antonio Della Cioppa, Ivanoe De Falco, Giovanna Sannino	0
2	NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks 2024 ·Proceedings of the Genetic and Evolutionary Computation Conference ·(unknown), Ivanoe De Falco, Antonio Della Cioppa, Giovanni Iacca, Umberto Scafuri	1
3	A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction 2023 ·Sensors ·Ivanoe De Falco, Antonio Della Cioppa, (unknown), (unknown), (unknown), Umberto Scafuri, Ernesto Tarantino	14
4	Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment 2022 ·Sensors ·(unknown), (unknown), Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri	3
5	Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach 2021 ·Proceedings of the Genetic and Evolutionary Computation Conference Companion ·Ivanoe De Falco, Antonio Della Cioppa, Angelo Marcelli, Umberto Scafuri, (unknown), Ernesto Tarantino	7
6	A Grammatical Evolution Approach for Estimating Blood Glucose Levels 2020 ·Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, (unknown), (unknown)	5
7	Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues 2020 ·Artificial Intelligence in Medicine ·Antonio Parziale, Rosa Senatore, Antonio Della Cioppa, Angelo Marcelli	30
8	Parkinson’s Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence 2020 ·(unknown), Antonio Della Cioppa, Angelo Marcelli, Antonio Parziale, Rosa Senatore	14
9	Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization 2019 ·Information Sciences ·Ivanoe De Falco, Antonio Della Cioppa, Giuseppe A. Trunfio	38
10	Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes 2019 ·Future Generation Computer Systems ·Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino	21
11	Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes 2018 ·Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, Giuseppe A. Trunfio	16
12	Large scale optimization of computationally expensive functions 2017 ·Proceedings of the Genetic and Evolutionary Computation Conference Companion ·Ivanoe De Falco, Antonio Della Cioppa, Giuseppe A. Trunfio	11
13	Evolutionary approaches for pooling classifier ensembles: Performance evaluation 2013 ·Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli	1
14	Biological invasion–inspired migration in distributed evolutionary algorithms 2012 ·Information Sciences ·Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino	37
15	Distributed Differential Evolution for the Registration of Remotely Sensed Images 2007 ·Ivanoe De Falco, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa	23
16	A novel grammar-based genetic programming approach to clustering 2005 ·Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Fontanella	17
17	A new evolutionary learning model for handwritten character prototyping 2003 ·L.P. Cordella, Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli	1
18	A Kolmogorov complexity-based Genetic Programming tool for string compression 2000 ·Genetic and Evolutionary Computation Conference ·Ivanoe De Falco, (unknown), Ernesto Tarantino, Antonio Della Cioppa, (unknown)	8
19	Towards a Simulation of Natural Mutation 1999 ·Genetic and Evolutionary Computation Conference ·(unknown), (unknown), Ernesto Tarantino, Antonio Della Cioppa, (unknown)	4
20	Genetic Programming Estimates of Kolmogorov Complexity 1997 ·international conference on Genetic algorithms ·(unknown), (unknown), Antonio Della Cioppa, Ernesto Tarantino, (unknown)	9

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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