Luisa Franconi
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 3
- Computer Science Applications top 10%
- Statistics and Probability top 5%
- Statistical Methods and Inference 1
- Sociology and Political Science top 10%
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- Regional Economics and Spatial Analysis 2
- Regional resilience and development 1
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- Advanced Image and Video Retrieval Techniques 1
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- Advanced Multi-Objective Optimization Algorithms 1
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- Urban Planning and Valuation 1
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- Regional Development and Policy 1
- Co-authors
- Anco HundepoolEric Schulte NordholtJosep Domingo‐FerrerSarah GiessingPeter‐Paul de WolfKeith SpicerJulian StanderChristopher Jennison
- Journals
- Lecture notes in computer science (1 paper)Statistics and Computing (2 papers)GeoJournal (1 paper)
- Partner nations
- ItalyUnited Kingdom
In The Last Decade
Luisa Franconi
10 papers receiving 363 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 280
- Computer Science Applications 34
- Statistics and Probability 48
- Management Science and Operations Research 66
- Sociology and Political Science 119
Countries citing papers authored by Luisa Franconi
This map shows the geographic impact of Luisa Franconi'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 Luisa Franconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Franconi more than expected).
Fields of papers citing papers by Luisa Franconi
This network shows the impact of papers produced by Luisa Franconi. 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 Luisa Franconi. The network helps show where Luisa Franconi may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Luisa Franconi, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2017 | 12 | |
| 4 | 2012 | 207 | |
| 5 | Statistical Disclosure Control | 2012 | 104 |
| 6 | Guidelines for the checking of output based on microdata research | 2010 | 8 |
| 7 | Privacy in Statistical Databases: CENEX-SDC Project International Conference, PSD 2006Rome, Italy, December 13-15, 2006Proceedings (Lecture Notes in Computer Science) | 2007 | 1 |
| 8 | 2004 | 15 | |
| 9 | 2003 | 7 | |
| 10 | 2002 | 15 | |
| 11 | 1997 | 18 |
About Luisa Franconi
Luisa Franconi is a scholar working on Artificial Intelligence, Statistics and Probability and Management, Monitoring, Policy and Law, having authored 11 papers that have together received 388 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Regional Economics and Spatial Analysis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Statistical Methods and Inference (1 paper), Regional resilience and development (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Urban Planning and Valuation (1 paper) and Regional Development and Policy (1 paper). The work is most often cited by research in Artificial Intelligence (280 citations), Computer Science Applications (34 citations) and Statistics and Probability (48 citations). Luisa Franconi has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Anco Hundepool, Eric Schulte Nordholt, Josep Domingo‐Ferrer, Sarah Giessing, Peter‐Paul de Wolf, Keith Spicer, Julian Stander, Christopher Jennison, Felix Ritchie and Andrea Pagano. Their work appears in journals such as Lecture notes in computer science, Statistics and Computing and GeoJournal.
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.