Ernesto Tarantino
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Ivanoe De FalcoAntonio Della CioppaUmberto ScafuriDomenico MaistoRoberto VaccaroMarek TudrujGiovanna SanninoGiuseppe De Pietro
- Topics
- Metaheuristic Optimization Algorithms Research (23 papers)Evolutionary Algorithms and Applications (22 papers)Diabetes Management and Research (12 papers)
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
Ernesto Tarantino
72 papers receiving 898 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 533
- Computational Theory and Mathematics 172
- Computer Vision and Pattern Recognition 136
- Information Systems 124
- Computer Networks and Communications 121
Countries citing papers authored by Ernesto Tarantino
This map shows the geographic impact of Ernesto Tarantino'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 Ernesto Tarantino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernesto Tarantino more than expected).
Fields of papers citing papers by Ernesto Tarantino
This network shows the impact of papers produced by Ernesto Tarantino. 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 Ernesto Tarantino. The network helps show where Ernesto Tarantino may publish in the future.
Co-authorship network of co-authors of Ernesto Tarantino
This figure shows the co-authorship network connecting the top 25 collaborators of Ernesto Tarantino. A scholar is included among the top collaborators of Ernesto Tarantino 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 Ernesto Tarantino. Ernesto Tarantino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 21 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 37 | |
| 10 | Applications of Evolutionary ComputationEvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II | 3 |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 23 | |
| 14 | 17 | |
| 15 | 0 | |
| 16 | A Kolmogorov complexity-based Genetic Programming tool for string compression | 8 |
| 17 | Towards a Simulation of Natural Mutation | 4 |
| 18 | Genetic Programming Estimates of Kolmogorov Complexity | 9 |
| 19 | Solving the Mapping Problem by Parallel Tabu Search. | 3 |
| 20 | 10 |
About Ernesto Tarantino
Ernesto Tarantino is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics, having authored 76 papers that have together received 965 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (23 papers), Evolutionary Algorithms and Applications (22 papers) and Diabetes Management and Research (12 papers). The work is most often cited by research in Artificial Intelligence (533 citations), Computational Theory and Mathematics (172 citations) and Health Information Management (34 citations). Ernesto Tarantino has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Domenico Maisto, Roberto Vaccaro, Marek Tudruj, Giovanna Sannino, Giuseppe De Pietro, Francesco Fontanella and Angelo Marcelli. Their work appears in journals such as Sensors, Information Sciences and Applied Soft Computing.
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.