Andrea Capponi
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
- Transportation top 1%
- Human Mobility and Location-Based Analysis
Papers in
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- Human Mobility and Location-Based Analysis 14
-
- Mobile Crowdsensing and Crowdsourcing 14
- Co-authors
- Claudio Fiandrino (16 shared papers)Dzmitry Kliazovich (12 shared papers)Pascal Bouvry (10 shared papers)Burak Kantarcı (2 shared papers)Luca Foschini (3 shared papers)Stefano Giordano (2 shared papers)Fabrizio Granelli (3 shared papers)Ulrich Sorger (4 shared papers)
- Journals
- IEEE Transactions on Sustainable Computing (2 papers)Pervasive and Mobile Computing (1 paper)Journal of Parallel and Distributed Computing (1 paper)IEEE Communications Surveys & Tutorials (1 paper)IEEE Access (1 paper)
- Partner nations
- LuxembourgSpainItaly
In The Last Decade
Andrea Capponi
19 papers receiving 717 citations
Andrea Capponi's Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Science Applications 505
- Transportation 326
- Artificial Intelligence 210
- Computer Networks and Communications 142
- Ocean Engineering 74
Countries citing papers authored by Andrea Capponi
This map shows the geographic impact of Andrea Capponi'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 Andrea Capponi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Capponi more than expected).
Fields of papers citing papers by Andrea Capponi
This network shows the impact of papers produced by Andrea Capponi. 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 Andrea Capponi. The network helps show where Andrea Capponi may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrea Capponi, 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 | A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities Hit paper breakdown → | 2019 | 425 |
| 2 | 2017 | 89 | |
| 3 | 2017 | 58 | |
| 4 | 2018 | 19 | |
| 5 | 2017 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2016 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2018 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 |
About Andrea Capponi
Andrea Capponi is a scholar working on Transportation, Computer Science Applications, Electrical and Electronic Engineering, Computer Networks and Communications and Epidemiology, having authored 19 papers that have together received 723 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (14 papers), Human Mobility and Location-Based Analysis (14 papers), Indoor and Outdoor Localization Technologies (7 papers), IoT and Edge/Fog Computing (4 papers), Green IT and Sustainability (3 papers), Data-Driven Disease Surveillance (2 papers), Age of Information Optimization (2 papers) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Computer Science Applications (505 citations), Transportation (326 citations), Artificial Intelligence (210 citations), Computer Networks and Communications (142 citations) and Ocean Engineering (74 citations). Andrea Capponi has collaborated with scholars based in Luxembourg, Spain and Italy. Frequent co-authors include Claudio Fiandrino, Dzmitry Kliazovich, Pascal Bouvry, Burak Kantarcı, Luca Foschini, Stefano Giordano, Fabrizio Granelli, Ulrich Sorger, Giuseppe Cacciatore and Mattia Tomasoni. Their work appears in journals such as IEEE Transactions on Sustainable Computing, Pervasive and Mobile Computing, Journal of Parallel and Distributed Computing, IEEE Communications Surveys & Tutorials and IEEE Access.
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.