Paola Casti
- Biophysics top 5%
- Cell Image Analysis Techniques 12
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- Neuroscience and Neuropharmacology Research 7
- Neurotransmitter Receptor Influence on Behavior 5
- Artificial Intelligence top 5%
- AI in cancer detection 20
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- Medical Image Segmentation Techniques 7
- Pharmacology top 10%
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- Digital Radiography and Breast Imaging 8
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- Microfluidic and Bio-sensing Technologies 7
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- Image Processing Techniques and Applications 6
- Co-authors
- Arianna MencattiniEugenio MartinelliMarcello SalmeriCorrado Di NataleRangaraj M. RangayyanMaria Colomba ComesDavide Di GiuseppeLuca Pani
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Advanced Functional Materials (1 paper)
In The Last Decade
Paola Casti
69 papers receiving 861 citations
Peers
Comparison fields: 5 of 120
- Biophysics 91
- Cellular and Molecular Neuroscience 191
- Artificial Intelligence 227
- Computer Vision and Pattern Recognition 141
- Pharmacology 113
Countries citing papers authored by Paola Casti
This map shows the geographic impact of Paola Casti'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 Paola Casti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Casti more than expected).
Fields of papers citing papers by Paola Casti
This network shows the impact of papers produced by Paola Casti. 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 Paola Casti. The network helps show where Paola Casti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paola Casti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 25 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 48 | |
| 14 | 2019 | 29 | |
| 15 | 2017 | 11 | |
| 16 | 2016 | 13 | |
| 17 | 2015 | 26 | |
| 18 | 2009 | 5 | |
| 19 | 2003 | 6 | |
| 20 | 1992 | 1 |
About Paola Casti
Paola Casti is a scholar working on Biophysics, Media Technology and Cellular and Molecular Neuroscience, having authored 71 papers that have together received 883 indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Cell Image Analysis Techniques (12 papers), Digital Radiography and Breast Imaging (8 papers), Medical Image Segmentation Techniques (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Microfluidic and Bio-sensing Technologies (7 papers), Image Processing Techniques and Applications (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Biophysics (91 citations), Cellular and Molecular Neuroscience (191 citations) and Artificial Intelligence (227 citations). Paola Casti has collaborated with scholars based in Italy, Canada and France. Frequent co-authors include Arianna Mencattini, Eugenio Martinelli, Marcello Salmeri, Corrado Di Natale, Rangaraj M. Rangayyan, Maria Colomba Comes, Davide Di Giuseppe, Luca Pani, Giorgio Marchese and Stefania Ruiu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.
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.