Ernesto Mininno
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 1%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Ferrante NeriGiovanni IaccaFrancesco CupertinoDavid NasoBiagio TurchianoMeng‐Hiot LimYew-Soon OngFabio Caraffini
- Topics
- Metaheuristic Optimization Algorithms Research (20 papers)Evolutionary Algorithms and Applications (19 papers)Advanced Multi-Objective Optimization Algorithms (13 papers)
- Journals
- IEEE Transactions on Industry ApplicationsInformation SciencesIEEE Transactions on Evolutionary Computation
- Partner nations
- FinlandItalyUnited Kingdom
In The Last Decade
Ernesto Mininno
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 842
- Computational Theory and Mathematics 533
- Control and Systems Engineering 174
- Electrical and Electronic Engineering 170
- Computer Networks and Communications 104
Countries citing papers authored by Ernesto Mininno
This map shows the geographic impact of Ernesto Mininno'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 Mininno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernesto Mininno more than expected).
Fields of papers citing papers by Ernesto Mininno
This network shows the impact of papers produced by Ernesto Mininno. 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 Mininno. The network helps show where Ernesto Mininno may publish in the future.
Co-authorship network of co-authors of Ernesto Mininno
This figure shows the co-authorship network connecting the top 25 collaborators of Ernesto Mininno. A scholar is included among the top collaborators of Ernesto Mininno 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 Mininno. Ernesto Mininno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 122 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 18 | |
| 6 | 18 | |
| 7 | 115 | |
| 8 | 103 | |
| 9 | 9 | |
| 10 | 134 | |
| 11 | 186 | |
| 12 | 42 | |
| 13 | 65 | |
| 14 | 98 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 46 | |
| 20 | 14 |
About Ernesto Mininno
Ernesto Mininno is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (20 papers), Evolutionary Algorithms and Applications (19 papers) and Advanced Multi-Objective Optimization Algorithms (13 papers). The work is most often cited by research in Computational Theory and Mathematics (533 citations), Artificial Intelligence (842 citations) and Control and Systems Engineering (174 citations). Ernesto Mininno has collaborated with scholars based in Finland, Italy and United Kingdom. Frequent co-authors include Ferrante Neri, Giovanni Iacca, Francesco Cupertino, David Naso, Biagio Turchiano, Meng‐Hiot Lim, Yew-Soon Ong, Fabio Caraffini, Lorenzo Picinali and L. Salvatore. Their work appears in journals such as IEEE Transactions on Industry Applications, Information Sciences and IEEE Transactions on Evolutionary Computation.
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.