Marco Castellani
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Computational Theory and Mathematics top 5%
- Mechanical Engineering
- Co-authors
- Duc Truong PhamHefin RowlandsAshraf FahmyAfshin GhanbarzadehHitoshi ArakiMete KalyoncuKevin A. GloverJohn Gilbey
- Topics
- Evolutionary Algorithms and Applications (15 papers)Metaheuristic Optimization Algorithms Research (15 papers)Neural Networks and Applications (13 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceNature and Landscape Conservation
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Remote Sensing
- Partner nations
- United KingdomNorwayPortugal
In The Last Decade
Marco Castellani
56 papers receiving 838 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 268
- Control and Systems Engineering 140
- Industrial and Manufacturing Engineering 137
- Computational Theory and Mathematics 115
- Mechanical Engineering 101
Countries citing papers authored by Marco Castellani
This map shows the geographic impact of Marco Castellani'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 Marco Castellani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Castellani more than expected).
Fields of papers citing papers by Marco Castellani
This network shows the impact of papers produced by Marco Castellani. 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 Marco Castellani. The network helps show where Marco Castellani may publish in the future.
Co-authorship network of co-authors of Marco Castellani
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Castellani. A scholar is included among the top collaborators of Marco Castellani 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 Marco Castellani. Marco Castellani 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 44 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 31 | |
| 14 | 5 | |
| 15 | 20 | |
| 16 | 3 | |
| 17 | 17 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 5 |
About Marco Castellani
Marco Castellani is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Geology, having authored 58 papers that have together received 870 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Neural Networks and Applications (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (137 citations), Artificial Intelligence (268 citations) and Nature and Landscape Conservation (92 citations). Marco Castellani has collaborated with scholars based in United Kingdom, Norway and Portugal. Frequent co-authors include Duc Truong Pham, Hefin Rowlands, Ashraf Fahmy, Afshin Ghanbarzadeh, Hitoshi Araki, Mete Kalyoncu, Kevin A. Glover, John Gilbey, Mikko Heino and Terje Svåsand. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Remote Sensing.
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.