Ivanoe De Falco
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Ernesto TarantinoAntonio Della CioppaUmberto ScafuriGiovanna SanninoGiuseppe De PietroDomenico MaistoGiuseppe A. TrunfioMassimo Esposito
- Topics
- Evolutionary Algorithms and Applications (28 papers)Metaheuristic Optimization Algorithms Research (26 papers)Diabetes Management and Research (12 papers)
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
Ivanoe De Falco
98 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 675
- Computational Theory and Mathematics 218
- Computer Vision and Pattern Recognition 195
- Information Systems 141
- Computer Networks and Communications 141
Countries citing papers authored by Ivanoe De Falco
This map shows the geographic impact of Ivanoe De Falco'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 Ivanoe De Falco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivanoe De Falco more than expected).
Fields of papers citing papers by Ivanoe De Falco
This network shows the impact of papers produced by Ivanoe De Falco. 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 Ivanoe De Falco. The network helps show where Ivanoe De Falco may publish in the future.
Co-authorship network of co-authors of Ivanoe De Falco
This figure shows the co-authorship network connecting the top 25 collaborators of Ivanoe De Falco. A scholar is included among the top collaborators of Ivanoe De Falco 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 Ivanoe De Falco. Ivanoe De Falco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 38 | |
| 12 | 21 | |
| 13 | 16 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 26 | |
| 17 | 2 | |
| 18 | Proceedings of the 12th European Conference on Genetic Programming | 5 |
| 19 | 17 | |
| 20 | A Kolmogorov complexity-based Genetic Programming tool for string compression | 8 |
About Ivanoe De Falco
Ivanoe De Falco is a scholar working on Artificial Intelligence, Health Information Management and Hardware and Architecture, having authored 106 papers that have together received 1.3k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (28 papers), Metaheuristic Optimization Algorithms Research (26 papers) and Diabetes Management and Research (12 papers). The work is most often cited by research in Artificial Intelligence (675 citations), Health Information Management (78 citations) and Computational Theory and Mathematics (218 citations). Ivanoe De Falco has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Ernesto Tarantino, Antonio Della Cioppa, Umberto Scafuri, Giovanna Sannino, Giuseppe De Pietro, Domenico Maisto, Giuseppe A. Trunfio, Massimo Esposito, Roberto Vaccaro and Javed Ali Khan. Their work appears in journals such as Sensors, ACM Computing Surveys and Information Sciences.
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.