Bruno Lepri

8.7k total citations · 3 hit papers
149 papers, 4.0k citations indexed

About

Bruno Lepri is a scholar working on Transportation, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Bruno Lepri has authored 149 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Transportation, 32 papers in Sociology and Political Science and 26 papers in Statistical and Nonlinear Physics. Recurrent topics in Bruno Lepri's work include Human Mobility and Location-Based Analysis (43 papers), Complex Network Analysis Techniques (21 papers) and Opinion Dynamics and Social Influence (19 papers). Bruno Lepri is often cited by papers focused on Human Mobility and Location-Based Analysis (43 papers), Complex Network Analysis Techniques (21 papers) and Opinion Dynamics and Social Influence (19 papers). Bruno Lepri collaborates with scholars based in Italy, United States and United Kingdom. Bruno Lepri's co-authors include Alex Pentland, Fabio Pianesi, Nuria Oliver, Gianni Barlacchi, Jacopo Staiano, Emmanuel Letouzé, Marco De Nadai, Nicu Sebe, Massimo Zancanaro and Patrick Vinck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Bruno Lepri

141 papers receiving 3.9k citations

Hit Papers

Fair, Transparent, and Accountable Algorithmic Decision-m... 2015 2026 2018 2022 2017 2015 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Lepri Italy 35 894 848 752 532 465 149 4.0k
Vassilis Kostakos Finland 42 695 0.8× 687 0.8× 1.3k 1.7× 799 1.5× 359 0.8× 272 6.4k
Daniele Quercia United Kingdom 30 777 0.9× 673 0.8× 971 1.3× 296 0.6× 213 0.5× 144 3.5k
Mirco Musolesi United Kingdom 43 1.7k 2.0× 733 0.9× 804 1.1× 1.3k 2.4× 199 0.4× 153 7.6k
Cecilia Mascolo United Kingdom 50 2.5k 2.8× 1.3k 1.6× 722 1.0× 1.5k 2.9× 197 0.4× 271 9.8k
Sunny Consolvo United States 39 590 0.7× 589 0.7× 1.9k 2.5× 1.3k 2.4× 330 0.7× 86 7.3k
Sune Lehmann Denmark 32 749 0.8× 654 0.8× 855 1.1× 263 0.5× 123 0.3× 102 4.8k
Nuria Oliver Spain 37 762 0.9× 1.9k 2.2× 660 0.9× 4.0k 7.4× 293 0.6× 138 8.2k
Daniel Gática-Pérez Switzerland 52 1.4k 1.6× 2.6k 3.1× 899 1.2× 3.6k 6.7× 1.1k 2.5× 282 9.2k
Xiaojuan Ma Hong Kong 28 487 0.5× 973 1.1× 419 0.6× 635 1.2× 306 0.7× 196 2.9k
Fabio Pianesi Italy 26 174 0.2× 555 0.7× 377 0.5× 319 0.6× 381 0.8× 84 2.1k

Countries citing papers authored by Bruno Lepri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Bruno Lepri

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Lepri. A scholar is included among the top collaborators of Bruno Lepri 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 Bruno Lepri. Bruno Lepri 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
2.
Nicolini, Carlo, et al.. (2024). Glitter or gold? Deriving structured insights from sustainability reports via large language models. EPJ Data Science. 13(1). 13 indexed citations
3.
Fernández, Daniel, et al.. (2024). What is beautiful is still good: the attractiveness halo effect in the era of beauty filters. Royal Society Open Science. 11(11). 240882–240882.
4.
Luca, Massimiliano, Gabriele Santin, Giorgio Previati, et al.. (2024). Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation. IEEE Access. 12. 32693–32705. 5 indexed citations
5.
Luca, Massimiliano, Luca Pappalardo, Bruno Lepri, & Gianni Barlacchi. (2023). Trajectory test-train overlap in next-location prediction datasets. Machine Learning. 112(11). 4597–4634. 2 indexed citations
6.
Roberts, Sam G. B., et al.. (2023). The rhythms of transient relationships: allocating time between weekdays and weekends. Royal Society Open Science. 10(10). 230834–230834. 1 indexed citations
7.
Luca, Massimiliano, et al.. (2023). Crime, inequality and public health: a survey of emerging trends in urban data science. Frontiers in Big Data. 6. 6 indexed citations
8.
Passerini, Andrea, et al.. (2023). Adaptation of student behavioural routines during Covid-19: a multimodal approach. EPJ Data Science. 12(1).
9.
Luca, Massimiliano, Gianni Barlacchi, Bruno Lepri, & Luca Pappalardo. (2023). A survey on deep learning for human mobility. ISTI Open Portal. 122 indexed citations breakdown →
10.
Lepri, Bruno, et al.. (2023). Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. Machine Learning. 112(4). 1389–1409. 2 indexed citations
11.
Cencetti, Giulia, Gabriele Santin, Timofei Istomin, et al.. (2022). Measuring close proximity interactions in summer camps during the COVID-19 pandemic. ARCA (Università Ca' Foscari Venezia). 6 indexed citations
12.
Bonassi, Andrea, Giulio Gabrieli, Anna Truzzi, et al.. (2021). The Recognition of Cross-Cultural Emotional Faces Is Affected by Intensity and Ethnicity in a Japanese Sample. Behavioral Sciences. 11(5). 59–59. 15 indexed citations
13.
Cencetti, Giulia, Gabriele Santin, Alain Barrat, et al.. (2021). Digital proximity tracing on empirical contact networks for pandemic control. Nature Communications. 12(1). 1655–1655. 66 indexed citations
14.
Panzarasa, Pietro, et al.. (2019). The bridging and bonding structures of place-centric networks: Evidence from a developing country. PLoS ONE. 14(9). e0221148–e0221148. 7 indexed citations
15.
Lepri, Bruno, Nuria Oliver, Emmanuel Letouzé, Alex Pentland, & Patrick Vinck. (2018). Fair, Transparent, and Accountable Algorithmic Decision-making Processes. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
16.
Cataldo, Ilaria, Atiqah Azhari, Bruno Lepri, & Gianluca Esposito. (2017). Oxytocin receptors (OXTR) and early parental care: An interaction that modulates psychiatric disorders. Research in Developmental Disabilities. 82. 27–38. 53 indexed citations
17.
Menini, Stefano, et al.. (2017). RAMBLE ON: Tracing Movements of Popular Historical Figures. INFM-OAR (INFN Catania). 77–80. 10 indexed citations
18.
Lepri, Bruno, Jacopo Staiano, Erez Shmueli, Fabio Pianesi, & Alex Pentland. (2016). The role of personality in shaping social networks and mediating behavioral change. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
19.
Bogomolov, Andrey, Bruno Lepri, Jacopo Staiano, et al.. (2015). Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics. Big Data. 3(3). 148–158. 36 indexed citations
20.
Lepri, Bruno, et al.. (2009). Honest Signals in the Recognition of Functional Relational Roles in Meetings.. National Conference on Artificial Intelligence. 31–36. 1 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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