Francesco Papi
Impact in
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- Hybrid Renewable Energy Systems
- Artificial Intelligence top 2%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
Papers in
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- Wind Energy Research and Development 27
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- Target Tracking and Data Fusion in Sensor Networks 29
- Gaussian Processes and Bayesian Inference 10
- Co-authors
- Alessandro Bianchini (35 shared papers)Claudio Fantacci (2 shared papers)Ba-Tuong Vo (3 shared papers)Luigi Chisci (10 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
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Energy Engineering and Power Technology 75
- Artificial Intelligence 539
- Aerospace Engineering 402
- Computer Networks and Communications 259
- Ocean Engineering 135
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 147 | |
| 2 | 2015 | 71 | |
| 3 | 2023 | 65 | |
| 4 | 2010 | 62 | |
| 5 | 2022 | 58 | |
| 6 | 2016 | 50 | |
| 7 | 2011 | 43 | |
| 8 | 2009 | 42 | |
| 9 | 2012 | 36 | |
| 10 | 2010 | 35 | |
| 11 | 2014 | 35 | |
| 12 | 2014 | 32 | |
| 13 | On constraints exploitation for particle filtering based target tracking | 2012 | 26 |
| 14 | 2020 | 24 | |
| 15 | 2020 | 23 | |
| 16 | Traffic intensity estimation via PHD filtering | 2008 | 20 |
| 17 | 2014 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2013 | 16 |
About Francesco Papi
Francesco Papi is a scholar working on Aerospace Engineering, Artificial Intelligence, Computational Mechanics, Computer Networks and Communications and Environmental Engineering, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (29 papers), Wind Energy Research and Development (27 papers), Fluid Dynamics and Vibration Analysis (14 papers), Wind and Air Flow Studies (13 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 (75 citations), Artificial Intelligence (539 citations), Aerospace Engineering (402 citations), Computer Networks and Communications (259 citations) and Ocean Engineering (135 citations). Francesco Papi has collaborated with scholars based in Italy, Australia and Germany. Frequent co-authors include Alessandro Bianchini, Claudio Fantacci, Ba-Tuong Vo, Luigi Chisci, Du Yong Kim, Ba‐Ngu Vo, Michael Beard, Giorgio Battistelli, Francesco Balduzzi and Alfonso Farina. Their work appears in journals such as Wind energy science, Energies, IEEE Signal Processing Letters, IEEE Transactions on Signal Processing and Clinical and Experimental Dermatology.
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.