Matteo Lai

528 total citations
10 papers, 346 citations indexed

About

Matteo Lai is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Cognitive Neuroscience. According to data from OpenAlex, Matteo Lai has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Civil and Structural Engineering, 3 papers in Mechanics of Materials and 3 papers in Cognitive Neuroscience. Recurrent topics in Matteo Lai's work include Structural Analysis and Optimization (4 papers), Composite Structure Analysis and Optimization (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Matteo Lai is often cited by papers focused on Structural Analysis and Optimization (4 papers), Composite Structure Analysis and Optimization (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Matteo Lai collaborates with scholars based in Italy, United States and Germany. Matteo Lai's co-authors include Rosalind W. Picard, Francesco Onorati, Giulia Regalia, Chiara Caborni, Maurizio Garbarino, Simone Tognetti, Daniel E. Bender, Antonio Cazzani, Emanuele Reccia and Mario Spagnuolo and has published in prestigious journals such as Epilepsy Research, Thin-Walled Structures and Chronobiology International.

In The Last Decade

Matteo Lai

8 papers receiving 331 citations

Peers

Matteo Lai

CN

PMH

ECP

BE

CCM

Simone Tognetti Italy

Julien Lagarde France

Ai‐Ling Hsu Taiwan

Isabel Gómez Spain

Giuseppe A. Chiarenza Italy

Ali Fahim Khan United States

Jennifer Schmit United States

Robert Richer Germany

Rishabh Bajpai India

Simone Tognetti Italy

Matteo Lai

186 ×1.3

CN

115 ×1.4

PMH

86 ×1.2

ECP

58 ×0.9

BE

60 ×1.0

CCM

Citations per year, relative to Matteo Lai Matteo Lai (= 1×) peers Simone Tognetti

Countries citing papers authored by Matteo Lai

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Lai

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Lai, Matteo, et al.. (2025). Influence of Physical, Chemical, and Sympathetic Stimuli on Water-Immersion Finger Wrinkling. Skin Pharmacology and Physiology. 38(3). 121–126.

2.

Lai, Matteo, et al.. (2024). Numerical model for the cyclic behaviour of a rubble stone masonry wall with opening and reinforcement. International Journal of Masonry Research and Innovation. 9(5/6). 606–632. 1 indexed citations

3.

Lai, Matteo, Nicola Luigi Rizzi, Victor A. Eremeyev, Emanuele Reccia, & Antonio Cazzani. (2024). Post-buckling behaviour of corrugated-edge shells: Numerical insights. Structures. 65. 106758–106758. 3 indexed citations

4.

Lai, Matteo, et al.. (2023). Thin corrugated-edge shells inspired by Nervi’s dome: Numerical insight about their mechanical behaviour. Thin-Walled Structures. 191. 111076–111076. 7 indexed citations

5.

Lai, Matteo. (2023). Edge-Corrugation as Structural Enhancement of Shallow Shells. Nexus Network Journal. 25(S1). 455–461. 2 indexed citations

6.

Lai, Matteo, Simon R. Eugster, Emanuele Reccia, Mario Spagnuolo, & Antonio Cazzani. (2022). Corrugated shells: An algorithm for generating double-curvature geometric surfaces for structural analysis. Thin-Walled Structures. 173. 109019–109019. 11 indexed citations

7.

Regalia, Giulia, Matteo Migliorini, Matteo Lai, et al.. (2020). Sleep assessment by means of a wrist actigraphy-based algorithm: agreement with polysomnography in an ambulatory study on older adults. Chronobiology International. 38(3). 400–414. 15 indexed citations

8.

Regalia, Giulia, Francesco Onorati, Matteo Lai, Chiara Caborni, & Rosalind W. Picard. (2019). Multimodal wrist-worn devices for seizure detection and advancing research: Focus on the Empatica wristbands. Epilepsy Research. 153. 79–82. 157 indexed citations

9.

Picard, Rosalind W., Orrin Devinsky, Barbara A. Dworetzky, et al.. (2015). The importance of measuring autonomic data in new epilepsy treatments. Epilepsy & Behavior. 46. 54–55. 5 indexed citations

10.

Garbarino, Maurizio, Matteo Lai, Simone Tognetti, Rosalind W. Picard, & Daniel E. Bender. (2014). Empatica E3 - A wearable wireless multi-sensor device for real-time computerized biofeedback and data acquisition. 145 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.

Explore authors with similar magnitude of impact