Bruno Lepri
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis 43
- Transportation Planning and Optimization 8
- Health Informatics top 1%
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- Mental Health Research Topics 12
- Safety Research top 2%
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- Complex Network Analysis Techniques 21
- Opinion Dynamics and Social Influence 19
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- Data-Driven Disease Surveillance 14
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- Personality Traits and Psychology 10
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- Traffic Prediction and Management Techniques 8
- Co-authors
- Alex PentlandFabio PianesiNuria OliverJacopo StaianoGianni BarlacchiEmmanuel LetouzéMarco De NadaiNicu Sebe
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Bruno Lepri
141 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Transportation 894
- Health Informatics 89
- Experimental and Cognitive Psychology 456
- Safety Research 262
- Computer Science Applications 155
Countries citing papers authored by Bruno Lepri
This map shows the geographic impact of Bruno Lepri'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 Bruno Lepri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Lepri more than expected).
Fields of papers citing papers by Bruno Lepri
This network shows the impact of papers produced by Bruno Lepri. 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 Bruno Lepri. The network helps show where Bruno Lepri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bruno Lepri, 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 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 11 | |
| 8 | A survey on deep learning for human mobilitybreakdown → | 2023 | 122 |
| 9 | 2023 | 4 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 66 | |
| 13 | 2020 | 15 | |
| 14 | 2019 | 7 | |
| 15 | Fair, Transparent, and Accountable Algorithmic Decision-making Processes | 2018 | 3 |
| 16 | 2017 | 10 | |
| 17 | The role of personality in shaping social networks and mediating behavioral change | 2016 | 1 |
| 18 | 2012 | 13 | |
| 19 | 2011 | 1 | |
| 20 | Honest Signals in the Recognition of Functional Relational Roles in Meetings. | 2009 | 1 |
About Bruno Lepri
Bruno Lepri is a scholar working on Transportation, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 149 papers that have together received 4.0k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (43 papers), Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (19 papers), Data-Driven Disease Surveillance (14 papers), Mental Health Research Topics (12 papers), Personality Traits and Psychology (10 papers), Transportation Planning and Optimization (8 papers) and Traffic Prediction and Management Techniques (8 papers). The work is most often cited by research in Transportation (894 citations), Health Informatics (89 citations) and Experimental and Cognitive Psychology (456 citations). Bruno Lepri has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alex Pentland, Fabio Pianesi, Nuria Oliver, Jacopo Staiano, Gianni Barlacchi, Emmanuel Letouzé, Marco De Nadai, Nicu Sebe, Massimo Zancanaro and Patrick Vinck. Their work appears in journals such as EPJ Data Science, Scientific Reports, IEEE Access, IEEE Transactions on Intelligent Transportation Systems and PLoS ONE.
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.