Fabio Pinelli

2.9k citations
40 papers · 1.8k indexed · 2 hit papers · h-index 14

Fabio Pinelli

39 papers receiving 1.8k citations

Hit Papers

WhereNext4002007202620132019200400600

Peers

Fabio Pinelli
Comparison fields: 5 of 75
  • Transportation 1.2k
  • Signal Processing 954
  • Geography, Planning and Development 265
  • Building and Construction 359
  • Automotive Engineering 179
Replace Quannan Li with:
Quannan Li China
Mirco Nanni Italy
Roberto Trasarti Italy
Kai Zheng China
Vânia Bogorny Brazil
José Antônio Fernandes de Macêdo Brazil
Bart Kuijpers Belgium
Lisi Chen China
Luís Otávio Álvares Brazil
Jun Luo China
Fabio Pinelli relative to Quannan Li China Quannan Li's profile →
Citations per field
00.5×1.5×1.9×
Quannan Li · 1×
Citations per year

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

The 25 scholars most cited alongside Fabio Pinelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabio Pinelli Line = papers co-authored together Fabio Pinelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20242
3 20241
4 20243
5 20233
6 20232
7 20235
8 20224
9
AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data
20143
10 201412
11
ABACUS: Apriori-BAsed Community discovery in mUltidimensional networkS
20131
12 20138
13 201324
14
Individual Mobility Profiles: Methods and Application on Vehicle Sharing.
20124
15 201216
16 201188
17 2011201
18
Location Prediction through Trajectory Pattern Mining (Extended Abstract).
20101
19 200831
20 200629

About Fabio Pinelli

Fabio Pinelli is a scholar working on Transportation, Signal Processing and Geography, Planning and Development, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (21 papers), Data Management and Algorithms (17 papers), Transportation Planning and Optimization (8 papers), Geographic Information Systems Studies (8 papers), Transportation and Mobility Innovations (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Data Mining Algorithms and Applications (4 papers) and Traffic Prediction and Management Techniques (4 papers). The work is most often cited by research in Transportation (1.2k citations), Signal Processing (954 citations) and Geography, Planning and Development (265 citations). Fabio Pinelli has collaborated with scholars based in Italy, Ireland and United States. Frequent 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. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems, Pharmacology, IEEE Transactions on Visualization and Computer Graphics and Artificial Intelligence and Law.

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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