Stefano Massaroli

541 total citations
10 papers, 26 citations indexed

About

Stefano Massaroli is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Stefano Massaroli has authored 10 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 3 papers in Statistical and Nonlinear Physics and 2 papers in Artificial Intelligence. Recurrent topics in Stefano Massaroli's work include Control Systems and Identification (3 papers), Model Reduction and Neural Networks (3 papers) and Adaptive Control of Nonlinear Systems (2 papers). Stefano Massaroli is often cited by papers focused on Control Systems and Identification (3 papers), Model Reduction and Neural Networks (3 papers) and Adaptive Control of Nonlinear Systems (2 papers). Stefano Massaroli collaborates with scholars based in Japan, Netherlands and South Korea. Stefano Massaroli's co-authors include Atsushi Yamashita, Hajime Asama, Hanwool Woo, Yusuke Tamura, Michael Poli, Federico Califano, Jinkyoo Park, Angela Faragasso, Stefano Ermon and Ja‐Lok Ku and has published in prestigious journals such as Advanced Robotics, SIAM Journal on Applied Dynamical Systems and IFAC-PapersOnLine.

In The Last Decade

Stefano Massaroli

9 papers receiving 25 citations

Peers

Stefano Massaroli

CSE

AI

CVPR

AE

SNP

Christopher Lazarus United Kingdom

Valerio Varricchio United States

Khalid Iqbal China

Gaurav Manek Singapore

J. Cerkala Slovakia

Homer Walke United States

Kevin Black United States

W. J. Zhu China

Zhiqiang Xia China

S. Jadlovska Slovakia

Christopher Lazarus United Kingdom

Stefano Massaroli

7 ×0.5

CSE

24 ×3.0

AI

5 ×0.8

CVPR

4 ×0.8

AE

1 ×0.3

SNP

Citations per year, relative to Stefano Massaroli Stefano Massaroli (= 1×) peers Christopher Lazarus

Countries citing papers authored by Stefano Massaroli

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Massaroli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Massaroli

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

All Works

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10 of 10 papers shown

1.

Ku, Ja‐Lok, David W. Romero, Garyk Brixi, et al.. (2025). Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale. ArXiv.org. 1 indexed citations

2.

Baccus, Stephen A., Stefano Massaroli, Michael Poli, et al.. (2023). HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. 43177–43201.

3.

Massaroli, Stefano, Michael Poli, Federico Califano, et al.. (2022). Optimal Energy Shaping via Neural Approximators. SIAM Journal on Applied Dynamical Systems. 21(3). 2126–2147. 7 indexed citations

4.

Poli, Michael, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, & Jinkyoo Park. (2020). Port-Hamiltonian Gradient Flows. International Conference on Learning Representations. 1 indexed citations

5.

Massaroli, Stefano, Michael Poli, Jinkyoo Park, Atsushi Yamashita, & Hajime Asama. (2020). Dissecting Neural ODEs. arXiv (Cornell University). 33. 3952–3963. 1 indexed citations

6.

Massaroli, Stefano, Federico Califano, Angela Faragasso, Atsushi Yamashita, & Hajime Asama. (2020). On the Extinction–Free Stabilization of Predator-Prey Dynamics. IEEE Control Systems Letters. 4(4). 964–969. 1 indexed citations

7.

Massaroli, Stefano, et al.. (2020). Identification of a Class of Hybrid Dynamical Systems. IFAC-PapersOnLine. 53(2). 875–882. 1 indexed citations

8.

Massaroli, Stefano, et al.. (2019). A Novel Recursive Linear Estimator Based on the Frisch Scheme. University of Twente Research Information. 1101–1106. 1 indexed citations

9.

Woo, Hanwool, et al.. (2019). Pedestrian trajectory prediction using BiRNN encoder–decoder framework. Advanced Robotics. 33(18). 956–969. 11 indexed citations

10.

Massaroli, Stefano, et al.. (2018). Recursive Algebraic Frisch Scheme: a Particle-Based Approach. IFAC-PapersOnLine. 51(25). 409–415. 2 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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