Gianluca Agresti
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Instrumentation top 5%
- Environmental Engineering
- Aerospace Engineering
- Co-authors
- Pietro ZanuttighUmberto MichieliGiulio MarinMarco ToldoSimone MilaniStefano MattocciaMatteo PoggiFabio Tosi
- Topics
- Advanced Optical Sensing Technologies (9 papers)Advanced Vision and Imaging (7 papers)Optical measurement and interference techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceSensors
- Partner nations
- ItalyTaiwanSwitzerland
In The Last Decade
Gianluca Agresti
13 papers receiving 237 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 187
- Artificial Intelligence 88
- Instrumentation 77
- Environmental Engineering 26
- Aerospace Engineering 25
Countries citing papers authored by Gianluca Agresti
This map shows the geographic impact of Gianluca Agresti'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 Gianluca Agresti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Agresti more than expected).
Fields of papers citing papers by Gianluca Agresti
This network shows the impact of papers produced by Gianluca Agresti. 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 Gianluca Agresti. The network helps show where Gianluca Agresti may publish in the future.
Co-authorship network of co-authors of Gianluca Agresti
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Agresti. A scholar is included among the top collaborators of Gianluca Agresti 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 Gianluca Agresti. Gianluca Agresti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 16 | |
| 4 | 11 | |
| 5 | 41 | |
| 6 | 31 | |
| 7 | 6 | |
| 8 | 30 | |
| 9 | 32 | |
| 10 | 18 | |
| 11 | 13 | |
| 12 | 14 | |
| 13 | 23 | |
| 14 | 0 |
About Gianluca Agresti
Gianluca Agresti is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Media Technology, having authored 14 papers that have together received 245 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (9 papers), Advanced Vision and Imaging (7 papers) and Optical measurement and interference techniques (6 papers). The work is most often cited by research in Instrumentation (77 citations), Computer Vision and Pattern Recognition (187 citations) and Artificial Intelligence (88 citations). Gianluca Agresti has collaborated with scholars based in Italy, Taiwan and Switzerland. Frequent co-authors include Pietro Zanuttigh, Umberto Michieli, Giulio Marin, Marco Toldo, Simone Milani, Stefano Mattoccia, Matteo Poggi, Fabio Tosi, Valerio Cambareri and Fabien Cardinaux. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.
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.