Andrea Cassioli
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Numerical Analysis top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Fabio SchoenMarco LocatelliBernardetta AddisMarco SciandroneJan UnkelbachCarlile LavorLeo LibertiOktay Günlük
- Topics
- Advanced Optimization Algorithms Research (5 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)Metaheuristic Optimization Algorithms Research (3 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsComputer Graphics and Computer-Aided Design
- Partner nations
- ItalyUnited StatesBrazil
In The Last Decade
Andrea Cassioli
15 papers receiving 334 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 125
- Artificial Intelligence 113
- Aerospace Engineering 49
- Numerical Analysis 45
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Andrea Cassioli
This map shows the geographic impact of Andrea Cassioli'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 Andrea Cassioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Cassioli more than expected).
Fields of papers citing papers by Andrea Cassioli
This network shows the impact of papers produced by Andrea Cassioli. 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 Andrea Cassioli. The network helps show where Andrea Cassioli may publish in the future.
Co-authorship network of co-authors of Andrea Cassioli
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Cassioli. A scholar is included among the top collaborators of Andrea Cassioli 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 Andrea Cassioli. Andrea Cassioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 32 | |
| 3 | 11 | |
| 4 | 16 | |
| 5 | 30 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 23 | |
| 10 | 12 | |
| 11 | 36 | |
| 12 | 4 | |
| 13 | 85 | |
| 14 | 13 | |
| 15 | 20 |
About Andrea Cassioli
Andrea Cassioli is a scholar working on Numerical Analysis, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 15 papers that have together received 350 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Numerical Analysis (45 citations), Computational Theory and Mathematics (125 citations) and Computer Graphics and Computer-Aided Design (20 citations). Andrea Cassioli has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Fabio Schoen, Marco Locatelli, Bernardetta Addis, Marco Sciandrone, Jan Unkelbach, Carlile Lavor, Leo Liberti, Oktay Günlük, Antonio Mucherino and Paolo Papale. Their work appears in journals such as European Journal of Operational Research, BMC Bioinformatics and Physics in Medicine and Biology.
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.