Giacomo Baggio

621 total citations
39 papers, 352 citations indexed

About

Giacomo Baggio is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Giacomo Baggio has authored 39 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 13 papers in Control and Systems Engineering and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Giacomo Baggio's work include Control Systems and Identification (10 papers), Neural Networks Stability and Synchronization (8 papers) and Neural dynamics and brain function (7 papers). Giacomo Baggio is often cited by papers focused on Control Systems and Identification (10 papers), Neural Networks Stability and Synchronization (8 papers) and Neural dynamics and brain function (7 papers). Giacomo Baggio collaborates with scholars based in Italy, United States and United Kingdom. Giacomo Baggio's co-authors include Fabio Pasqualetti, Sandro Zampieri, Danielle S. Bassett, Nicoletta Bof, Guillaume Hennequin, Augusto Ferrante, Dani S. Bassett, Algo Carè, Gianluigi Pillonetto and Rodolphe Sepulchre and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

In The Last Decade

Giacomo Baggio

37 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giacomo Baggio Italy	9	163	109	95	40	40	39	352
Shen Zeng United States	11	116 0.7×	35 0.3×	78 0.8×	63 1.6×	17 0.4×	53	296
Jinling Liang China	5	152 0.9×	140 1.3×	356 3.7×	102 2.5×	11 0.3×	8	523
Mengran Xue United States	11	74 0.5×	90 0.8×	228 2.4×	52 1.3×	15 0.4×	55	412
Jie Fang China	7	38 0.2×	167 1.5×	122 1.3×	21 0.5×	30 0.8×	36	318
Chunde Yang China	11	80 0.5×	102 0.9×	177 1.9×	9 0.2×	40 1.0×	26	345
Cesar O. Aguilar United States	8	100 0.6×	64 0.6×	127 1.3×	36 0.9×	10 0.3×	17	268
Shuaibing Zhu China	11	36 0.2×	196 1.8×	288 3.0×	50 1.3×	20 0.5×	21	367
Du Wei China	13	123 0.8×	325 3.0×	217 2.3×	10 0.3×	64 1.6×	21	455
Zhengzhong Yuan China	7	37 0.2×	323 3.0×	303 3.2×	137 3.4×	31 0.8×	13	558

Countries citing papers authored by Giacomo Baggio

Since Specialization

Citations

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

Fields of papers citing papers by Giacomo Baggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Baggio

This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Baggio. A scholar is included among the top collaborators of Giacomo Baggio 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 Giacomo Baggio. Giacomo Baggio 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

Baggio, Giacomo, et al.. (2025). Input-driven dynamics for robust memory retrieval in Hopfield networks. Science Advances. 11(17). eadu6991–eadu6991. 1 indexed citations

Baggio, Giacomo, et al.. (2024). Analyzing asymmetry in brain hierarchies with a linear state-space model of resting-state fMRI data. Network Neuroscience. 8(3). 965–988. 2 indexed citations

Baggio, Giacomo, et al.. (2024). On the capacity of continuous-time Hopfield models. Research Padua Archive (University of Padua). 7853–7858.

Baggio, Giacomo, et al.. (2023). Distributed Data-Driven Control of Network Systems. SHILAP Revista de lepidopterología. 2. 93–107. 4 indexed citations

Baggio, Giacomo & Sandro Zampieri. (2023). Controllability of Large-Scale Networks: The Control Energy Exponents. IEEE Transactions on Control of Network Systems. 11(2). 808–820. 2 indexed citations

Baggio, Giacomo, et al.. (2023). Dynamic Brain Networks with Prescribed Functional Connectivity. Research Padua Archive (University of Padua). 709–714. 1 indexed citations

Baggio, Giacomo, et al.. (2022). Functional control of oscillator networks. Nature Communications. 13(1). 4721–4721. 14 indexed citations

Baggio, Giacomo & Sandro Zampieri. (2022). Reachable Volume of Large-Scale Linear Network Systems: The Single-Input Case. 2022 IEEE 61st Conference on Decision and Control (CDC). 4224–4229. 1 indexed citations

Baggio, Giacomo & Sandro Zampieri. (2021). Non-normality Improves Information Transmission Performance of Network Systems. IEEE Transactions on Control of Network Systems. 8(4). 1846–1858. 4 indexed citations

10.

Baggio, Giacomo, Danielle S. Bassett, & Fabio Pasqualetti. (2021). Data-driven control of complex networks. Nature Communications. 12(1). 1429–1429. 89 indexed citations

11.

Baggio, Giacomo, et al.. (2020). Conditions for Feedback Linearization of Network Systems. IEEE Control Systems Letters. 4(3). 578–583. 7 indexed citations

12.

Baggio, Giacomo, et al.. (2020). Efficient communication over complex dynamical networks: The role of matrix non-normality. Padua Research Archive (University of Padova). 25 indexed citations

13.

Baggio, Giacomo & Fabio Pasqualetti. (2020). Learning Minimum-Energy Controls from Heterogeneous Data. Padua Research Archive (University of Padova). 7 indexed citations

14.

Baggio, Giacomo & Augusto Ferrante. (2019). Parametrization of minimal spectral factors of discrete-time rational spectral densities. Research Padua Archive (University of Padua). 10 indexed citations

15.

Baggio, Giacomo, et al.. (2019). Data-Driven Minimum-Energy Controls for Linear Systems. IEEE Control Systems Letters. 3(3). 589–594. 54 indexed citations

16.

Baggio, Giacomo, et al.. (2019). Efficient Communication over Complex Dynamical Networks.. arXiv (Cornell University).

17.

Baggio, Giacomo, et al.. (2018). Stability Conditions for Cluster Synchronization in Networks of Kuramoto Oscillators.. arXiv (Cornell University). 1 indexed citations

18.

Baggio, Giacomo, Augusto Ferrante, & Rodolphe Sepulchre. (2018). Conal Distances Between Rational Spectral Densities. IEEE Transactions on Automatic Control. 64(5). 1848–1857. 2 indexed citations

19.

Baggio, Giacomo. (2018). Further Results on the Convergence of the Pavon-Ferrante Algorithm for Spectral Estimation. Padua Research Archive (University of Padova). 5 indexed citations

20.

Baggio, Giacomo, et al.. (2018). Information Transmission in Dynamical Networks: The Normal Network Case. PubMed. 487. 2543–2548. 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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