Francesco Papi
Impact in
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- Hybrid Renewable Energy Systems
- Aerospace Engineering top 5%
- Wind Energy Research and Development
- Radar Systems and Signal Processing
Papers in
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- Wind Energy Research and Development 30
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- Target Tracking and Data Fusion in Sensor Networks 30
- Gaussian Processes and Bayesian Inference 10
- Co-authors
- Alessandro Bianchini (37 shared papers)Claudio Fantacci (2 shared papers)Luigi Chisci (11 shared papers)Ba-Tuong Vo (3 shared papers)Du Yong Kim (2 shared papers)Ba‐Ngu Vo (2 shared papers)Michael Beard (1 shared paper)Giorgio Battistelli (8 shared papers)
In The Last Decade
Francesco Papi
71 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Energy Engineering and Power Technology 82
- Aerospace Engineering 425
- Artificial Intelligence 546
- Computer Networks and Communications 270
- Ocean Engineering 141
Countries citing papers authored by Francesco Papi
This map shows the geographic impact of Francesco Papi'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 Papi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Papi more than expected).
Fields of papers citing papers by Francesco Papi
This network shows the impact of papers produced by Francesco Papi. 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 Papi. The network helps show where Francesco Papi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesco Papi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 146 | |
| 2 | 2023 | 73 | |
| 3 | 2010 | 71 | |
| 4 | 2015 | 71 | |
| 5 | 2022 | 65 | |
| 6 | 2016 | 52 | |
| 7 | 2009 | 47 | |
| 8 | 2011 | 47 | |
| 9 | 2010 | 36 | |
| 10 | 2012 | 36 | |
| 11 | 2014 | 34 | |
| 12 | 2014 | 34 | |
| 13 | On constraints exploitation for particle filtering based target tracking | 2012 | 27 |
| 14 | 2020 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2021 | 22 | |
| 17 | Traffic intensity estimation via PHD filtering | 2008 | 20 |
| 18 | 2014 | 20 | |
| 19 | 2014 | 18 | |
| 20 | 2013 | 16 |
About Francesco Papi
Francesco Papi is a scholar working on Aerospace Engineering, Artificial Intelligence, Computational Mechanics, Environmental Engineering and Computer Networks and Communications, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wind Energy Research and Development (30 papers), Target Tracking and Data Fusion in Sensor Networks (30 papers), Fluid Dynamics and Vibration Analysis (15 papers), Wind and Air Flow Studies (14 papers), Distributed Sensor Networks and Detection Algorithms (11 papers), Gaussian Processes and Bayesian Inference (10 papers), Wave and Wind Energy Systems (8 papers) and Fault Detection and Control Systems (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (82 citations), Aerospace Engineering (425 citations), Artificial Intelligence (546 citations), Computer Networks and Communications (270 citations) and Ocean Engineering (141 citations). Francesco Papi has collaborated with scholars based in Italy, Australia and Germany. Frequent co-authors include Alessandro Bianchini, Claudio Fantacci, Luigi Chisci, Ba-Tuong Vo, Du Yong Kim, Ba‐Ngu Vo, Michael Beard, Giorgio Battistelli, Francesco Balduzzi and Giovanni Ferrara. Their work appears in journals such as Wind energy science, IEEE Signal Processing Letters, Energies, IEEE Transactions on Signal Processing and IEEE Transactions on Aerospace and Electronic Systems.
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.