Francesco Paci
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 2
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- Video Surveillance and Tracking Methods 2
- Human Pose and Action Recognition 2
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories 2
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- Particle physics theoretical and experimental studies 1
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- IoT and Edge/Fog Computing 1
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- Air Quality Monitoring and Forecasting 1
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- Speech and Audio Processing 1
- Co-authors
- Luca BeniniLorenzo BaraldiF. Finelli⋆Rita CucchiaraGiuseppe SerraD. PaolettiDavide BrunelliManuele Rusci
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionAstronomy and Astrophysics
- Journals
- IEEE Internet of Things Journal (1 paper)IEEE Sensors Journal (1 paper)Journal of Cosmology and Astroparticle Physics (1 paper)
- Partner nations
- ItalySwitzerlandRussia
In The Last Decade
Francesco Paci
8 papers receiving 194 citations
Peers
Comparison fields: 5 of 49
- Human-Computer Interaction 76
- Computer Vision and Pattern Recognition 81
- Astronomy and Astrophysics 64
- Nuclear and High Energy Physics 35
- Museology 6
Countries citing papers authored by Francesco Paci
This map shows the geographic impact of Francesco Paci'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 Francesco Paci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Paci more than expected).
Fields of papers citing papers by Francesco Paci
This network shows the impact of papers produced by Francesco Paci. 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 Francesco Paci. The network helps show where Francesco Paci may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Francesco Paci, 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 | 0 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 10 | |
| 4 | 2018 | 7 | |
| 5 | 2015 | 35 | |
| 6 | 2014 | 11 | |
| 7 | 2014 | 69 | |
| 8 | 2012 | 8 | |
| 9 | 2008 | 57 |
About Francesco Paci
Francesco Paci is a scholar working on Human-Computer Interaction, Geology and Nuclear and High Energy Physics, having authored 9 papers that have together received 199 indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (2 papers), Video Surveillance and Tracking Methods (2 papers), Human Pose and Action Recognition (2 papers), Hand Gesture Recognition Systems (2 papers), IoT and Edge/Fog Computing (1 paper), Particle physics theoretical and experimental studies (1 paper), Air Quality Monitoring and Forecasting (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Human-Computer Interaction (76 citations), Computer Vision and Pattern Recognition (81 citations) and Astronomy and Astrophysics (64 citations). Francesco Paci has collaborated with scholars based in Italy, Switzerland and Russia. Frequent co-authors include Luca Benini, Lorenzo Baraldi, F. Finelli⋆, Rita Cucchiara, Giuseppe Serra, D. Paoletti, Davide Brunelli, Manuele Rusci, A. Gruppuso and Alexei A. Starobinsky. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Sensors Journal, Journal of Cosmology and Astroparticle Physics, ACM SIGBED Review and Institutional Research Information System (University of Udine).
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.