Fabio Pinelli

2.9k total citations · 2 hit papers
40 papers, 1.8k citations indexed

About

Fabio Pinelli is a scholar working on Transportation, Signal Processing and Information Systems. According to data from OpenAlex, Fabio Pinelli has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Transportation, 17 papers in Signal Processing and 9 papers in Information Systems. Recurrent topics in Fabio Pinelli's work include Human Mobility and Location-Based Analysis (21 papers), Data Management and Algorithms (17 papers) and Transportation Planning and Optimization (8 papers). Fabio Pinelli is often cited by papers focused on Human Mobility and Location-Based Analysis (21 papers), Data Management and Algorithms (17 papers) and Transportation Planning and Optimization (8 papers). Fabio Pinelli collaborates with scholars based in Italy, Ireland and United States. Fabio Pinelli's co-authors include Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Roberto Trasarti, Anna Monreale, Francesco Calabrese, Chiara Renso, Salvatore Rinzivillo, Ji Won Yoon and Rahul Nair and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Fabio Pinelli

39 papers receiving 1.8k citations

Hit Papers

Trajectory pattern mining 2007 2026 2013 2019 2007 2009 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabio Pinelli Italy 14 1.2k 954 359 302 265 40 1.8k
Quannan Li China 10 1.2k 1.0× 656 0.7× 275 0.8× 151 0.5× 228 0.9× 10 1.8k
Mirco Nanni Italy 19 1.4k 1.2× 1.4k 1.4× 372 1.0× 434 1.4× 375 1.4× 70 2.7k
Kai Zheng China 24 700 0.6× 1.3k 1.4× 282 0.8× 336 1.1× 356 1.3× 68 2.0k
Roberto Trasarti Italy 15 836 0.7× 486 0.5× 228 0.6× 170 0.6× 146 0.6× 47 1.2k
José Antônio Fernandes de Macêdo Brazil 15 622 0.5× 741 0.8× 149 0.4× 219 0.7× 318 1.2× 111 1.4k
Vânia Bogorny Brazil 20 1.0k 0.8× 1.3k 1.4× 171 0.5× 238 0.8× 553 2.1× 62 2.0k
Bart Kuijpers Belgium 16 611 0.5× 766 0.8× 140 0.4× 168 0.6× 328 1.2× 65 1.3k
Luís Otávio Álvares Brazil 17 710 0.6× 930 1.0× 114 0.3× 187 0.6× 379 1.4× 41 1.4k
Han Su China 20 367 0.3× 537 0.6× 161 0.4× 155 0.5× 162 0.6× 51 1.2k
Jun Luo China 20 402 0.3× 421 0.4× 259 0.7× 119 0.4× 110 0.4× 70 1.1k

Countries citing papers authored by Fabio Pinelli

Since Specialization
Citations

This map shows the geographic impact of Fabio Pinelli'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 Fabio Pinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Pinelli more than expected).

Fields of papers citing papers by Fabio Pinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Pinelli. 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 Fabio Pinelli. The network helps show where Fabio Pinelli may publish in the future.

Co-authorship network of co-authors of Fabio Pinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Pinelli. A scholar is included among the top collaborators of Fabio Pinelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabio Pinelli. Fabio Pinelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pinelli, Fabio, et al.. (2024). Understanding Human Mobility Dynamics: Insights from Summarized Semantic Trajectories. ISTI Open Portal. 159–164. 2 indexed citations
2.
Petrocchi, Marinella, et al.. (2024). Evaluating Trustworthiness of Online News Publishers via Article Classification. 671–678. 1 indexed citations
3.
Galletta, Letterio & Fabio Pinelli. (2024). Explainable Ponzi Schemes Detection on Ethereum. 1014–1023. 5 indexed citations
4.
Pinelli, Fabio, et al.. (2024). Measuring corporate digital divide through websites: insights from Italian firms. EPJ Data Science. 13(1). 3 indexed citations
5.
Pinelli, Fabio, et al.. (2023). FLIRT: Federated Learning for Information Retrieval. IRIS Research product catalog (Sapienza University of Rome). 3472–3475. 3 indexed citations
6.
Renso, Chiara, et al.. (2023). Semantic Enrichment of Mobility Data: A Comprehensive Methodology and the MAT-BUILDER System. IEEE Access. 11. 90857–90875. 5 indexed citations
7.
Renso, Chiara, et al.. (2023). A general methodology for building multiple aspect trajectories. CINECA IRIS Institutial research information system (University of Pisa). 1695. 515–517. 2 indexed citations
8.
Renso, Chiara, et al.. (2022). MAT-Builder: a System to Build Semantically Enriched Trajectories. Zenodo (CERN European Organization for Nuclear Research). 274–277. 4 indexed citations
9.
Berlingerio, Michele, Francesco Calabrese, Giusy Di Lorenzo, et al.. (2014). AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 3 indexed citations
10.
Pinelli, Fabio, Francesco Calabrese, & Eric Bouillet. (2014). A Methodology for Denoising and Generating Bus Infrastructure Data. IEEE Transactions on Intelligent Transportation Systems. 1–6. 12 indexed citations
11.
Berlingerio, Michele, Fabio Pinelli, & Francesco Calabrese. (2013). ABACUS: Apriori-BAsed Community discovery in mUltidimensional networkS. arXiv (Cornell University). 1 indexed citations
12.
Chen, Bei, Fabio Pinelli, Mathieu Sinn, Adi Botea, & Francesco Calabrese. (2013). Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots. 53–58. 24 indexed citations
13.
Pinelli, Fabio, Francesco Calabrese, & Eric Bouillet. (2013). Robust bus-stop identification and denoising methodology. 2298–2303. 8 indexed citations
14.
Trasarti, Roberto, Fabio Pinelli, Mirco Nanni, & Fosca Giannotti. (2012). Individual Mobility Profiles: Methods and Application on Vehicle Sharing.. SEBD. 35–42. 4 indexed citations
15.
Trasarti, Roberto, Fabio Pinelli, Mirco Nanni, & Fosca Giannotti. (2011). Mining mobility user profiles for car pooling. ISTI Open Portal. 1190–1198. 88 indexed citations
16.
Giannotti, Fosca, Mirco Nanni, Dino Pedreschi, et al.. (2011). Unveiling the complexity of human mobility by querying and mining massive trajectory data. The VLDB Journal. 20(5). 695–719. 201 indexed citations
17.
Monreale, Anna, Fabio Pinelli, Roberto Trasarti, & Fosca Giannotti. (2010). Location Prediction through Trajectory Pattern Mining (Extended Abstract).. CINECA IRIS Institutial research information system (University of Pisa). 134–141. 1 indexed citations
18.
Monreale, Anna, Fabio Pinelli, Roberto Trasarti, & Fosca Giannotti. (2009). WhereNext. CINECA IRIS Institutial research information system (University of Pisa). 637–646. 400 indexed citations breakdown →
19.
Pensa, Ruggero G., Anna Monreale, Fabio Pinelli, & Dino Pedreschi. (2008). Pattern-Preserving k-Anonymization of Sequences and its Application to Mobility Data Mining. Pharmacology. 397(2). 44–60. 31 indexed citations
20.
Giannotti, Fosca, Mirco Nanni, Dino Pedreschi, & Fabio Pinelli. (2006). Mining sequences with temporal annotations. 593–597. 29 indexed citations

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.

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