Sara Capecchi
- Artificial Intelligence top 10%
- Logic, programming, and type systems 12
- Advanced Software Engineering Methodologies 8
- Multi-Agent Systems and Negotiation 4
- Information Systems top 10%
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- Formal Methods in Verification 6
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- Teaching and Learning Programming 5
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- Access Control and Trust 5
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- Distributed systems and fault tolerance 4
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- Lorenzo BettiniElena GiachinoBetti VenneriMariangiola Dezani-CiancagliniG. BanchelliLaura RaimondiG. IgnestiF. Buffoni
- Journals
- SHILAP Revista de lepidopterología (2 papers)Biochemical Pharmacology (1 paper)Applied Sciences (1 paper)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Sara Capecchi
31 papers receiving 226 citations
Peers
Comparison fields: 5 of 55
- Biochemistry 36
- Artificial Intelligence 135
- Software 14
- Information Systems 66
- Computational Theory and Mathematics 46
Countries citing papers authored by Sara Capecchi
This map shows the geographic impact of Sara Capecchi'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 Sara Capecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Capecchi more than expected).
Fields of papers citing papers by Sara Capecchi
This network shows the impact of papers produced by Sara Capecchi. 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 Sara Capecchi. The network helps show where Sara Capecchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sara Capecchi, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2019 | 0 | |
| 8 | 2018 | 30 | |
| 9 | 2017 | 5 | |
| 10 | 2016 | 2 | |
| 11 | 2014 | 8 | |
| 12 | 2014 | 2 | |
| 13 | 2012 | 8 | |
| 14 | 2010 | 5 | |
| 15 | 2009 | 8 | |
| 16 | 2009 | 4 | |
| 17 | 2007 | 10 | |
| 18 | 2006 | 4 | |
| 19 | 2005 | 6 | |
| 20 | 1991 | 53 |
About Sara Capecchi
Sara Capecchi is a scholar working on Computer Science Applications, Artificial Intelligence and Hardware and Architecture, having authored 33 papers that have together received 239 indexed citations. Recurring topics across this work include Logic, programming, and type systems (12 papers), Advanced Software Engineering Methodologies (8 papers), Formal Methods in Verification (6 papers), Teaching and Learning Programming (5 papers), Access Control and Trust (5 papers), Multi-Agent Systems and Negotiation (4 papers), Distributed systems and fault tolerance (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Biochemistry (36 citations), Artificial Intelligence (135 citations) and Software (14 citations). Sara Capecchi has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Lorenzo Bettini, Elena Giachino, Betti Venneri, Mariangiola Dezani-Ciancaglini, G. Banchelli, Laura Raimondi, G. Ignesti, F. Buffoni, Ilaria Castellani and R. Pirisino. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical Pharmacology and Applied 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.