Marco De Nadai

2.3k total citations · 1 hit paper
20 papers, 776 citations indexed

About

Marco De Nadai is a scholar working on Transportation, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco De Nadai has authored 20 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Transportation, 7 papers in Sociology and Political Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco De Nadai's work include Human Mobility and Location-Based Analysis (8 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Urban, Neighborhood, and Segregation Studies (3 papers). Marco De Nadai is often cited by papers focused on Human Mobility and Location-Based Analysis (8 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Urban, Neighborhood, and Segregation Studies (3 papers). Marco De Nadai collaborates with scholars based in Italy, United States and China. Marco De Nadai's co-authors include Bruno Lepri, Alex Pentland, Fabrizio Antonelli, Roberto Larcher, Gianni Barlacchi, Giovanni Luca Torrisi, Alessandro Vespignani, Maarten van Someren, Nicu Sebe and Marta C. González and has published in prestigious journals such as Scientific Reports, Machine Learning and IEEE Transactions on Multimedia.

In The Last Decade

Marco De Nadai

19 papers receiving 756 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A multi-source dataset of urban life in the city of Milan and the Province of Trentino

2015 341 citations Gianni Barlacchi, Marco De Nadai et al. Scientific Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco De Nadai Italy	11	312	191	161	149	114	20	776
Gianni Barlacchi Italy	9	494 1.6×	293 1.5×	154 1.0×	158 1.1×	70 0.6×	23	849
Sibren Isaacman United States	10	497 1.6×	79 0.4×	107 0.7×	198 1.3×	62 0.5×	14	684
Simon Urbanek United States	11	416 1.3×	60 0.3×	86 0.5×	108 0.7×	104 0.9×	28	776
Xuke Hu Germany	13	129 0.4×	67 0.4×	303 1.9×	60 0.4×	77 0.7×	28	683
Matthias Delafontaine Belgium	13	433 1.4×	110 0.6×	51 0.3×	89 0.6×	62 0.5×	24	672
Angelo Furno France	13	238 0.8×	106 0.6×	49 0.3×	117 0.8×	50 0.4×	42	503
Antonio Lima United Kingdom	9	468 1.5×	164 0.9×	64 0.4×	71 0.5×	31 0.3×	12	669
Hongjian Wang United States	11	397 1.3×	264 1.4×	39 0.2×	51 0.3×	72 0.6×	16	626
Josh Jia-Ching Ying Taiwan	13	497 1.6×	105 0.5×	58 0.4×	111 0.7×	139 1.2×	49	930

Countries citing papers authored by Marco De Nadai

Since Specialization

Citations

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

Fields of papers citing papers by Marco De Nadai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco De Nadai. 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 Marco De Nadai. The network helps show where Marco De Nadai may publish in the future.

Co-authorship network of co-authors of Marco De Nadai

This figure shows the co-authorship network connecting the top 25 collaborators of Marco De Nadai. A scholar is included among the top collaborators of Marco De Nadai 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 Marco De Nadai. Marco De Nadai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nadai, Marco De, et al.. (2025). Job loss disrupts individuals’ mobility and their exploratory patterns. iScience. 28(7). 112892–112892.

Nadai, Marco De, Alice Wang, Fabrizio Silvestri, et al.. (2024). Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. 403–412. 7 indexed citations

Sangineto, Enver, Yahui Liu, Marco De Nadai, et al.. (2024). Spatial entropy as an inductive bias for vision transformers. Machine Learning. 113(9). 6945–6975. 1 indexed citations

Palumbo, Enrico, et al.. (2024). Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?. 340–349. 1 indexed citations

Damianou, Andreas, et al.. (2024). Towards Graph Foundation Models for Personalization. 1798–1802. 1 indexed citations

Nadai, Marco De, et al.. (2022). The impact of control and mitigation strategies during the second wave of coronavirus infections in Spain and Italy. Scientific Reports. 12(1). 1073–1073. 4 indexed citations

Liu, Yahui, Yajing Chen, Linchao Bao, et al.. (2022). ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation. IEEE Transactions on Multimedia. 25. 3343–3353. 8 indexed citations

Liu, Yahui, Enver Sangineto, Yajing Chen, et al.. (2021). Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation. Iris Unimore (University of Modena and Reggio Emilia). 34 indexed citations

Pappalardo, Luca, et al.. (2021). Living in a pandemic: changes in mobility routines, social activity and adherence to COVID-19 protective measures. Scientific Reports. 11(1). 24452–24452. 50 indexed citations

10.

Nadai, Marco De, et al.. (2021). Click to Move: Controlling Video Generation with Sparse Motion. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14729–14738. 5 indexed citations

11.

Nadai, Marco De, Yanyan Xu, Emmanuel Letouzé, Marta C. González, & Bruno Lepri. (2020). Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities. Scientific Reports. 10(1). 13871–13871. 53 indexed citations

12.

Liu, Yahui, Marco De Nadai, Deng Cai, et al.. (2020). Describe What to Change. HAL (Le Centre pour la Communication Scientifique Directe). 1357–1365. 36 indexed citations

13.

Nadai, Marco De, et al.. (2019). Strategies and limitations in app usage and human mobility. Scientific Reports. 9(1). 10935–10935. 23 indexed citations

14.

Nadai, Marco De & Bruno Lepri. (2018). The Economic Value of Neighborhoods: Predicting Real Estate Prices from the Urban Environment. 323–330. 33 indexed citations

15.

Mamei, Marco, Francesca Pancotto, Marco De Nadai, et al.. (2018). Is social capital associated with synchronization in human communication? An analysis of Italian call records and measures of civic engagement. EPJ Data Science. 7(1). 10 indexed citations

16.

Nadai, Marco De, Radu L. Vieriu, Gloria Zen, et al.. (2016). Are Safer Looking Neighborhoods More Lively?. Institutional Research Information System (Università degli Studi di Trento). 1127–1135. 37 indexed citations

17.

Nadai, Marco De, Chiara Leonardi, Nuria Oliver, et al.. (2016). The Mobile Territorial Lab: a multilayered and dynamic view on parents’ daily lives. EPJ Data Science. 5(1). 18 indexed citations

18.

Nadai, Marco De. (2016). The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective. arXiv (Cornell University). 83 indexed citations

19.

Nadai, Marco De & Maarten van Someren. (2015). Short-term anomaly detection in gas consumption through ARIMA and Artificial Neural Network forecast. UvA-DARE (University of Amsterdam). 250–255. 31 indexed citations

20.

Barlacchi, Gianni, Marco De Nadai, Roberto Larcher, et al.. (2015). A multi-source dataset of urban life in the city of Milan and the Province of Trentino. Scientific Data. 2(1). 150055–150055. 341 indexed citations breakdown →

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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