Sérgio Pequito

1.8k total citations
76 papers, 1000 citations indexed

About

Sérgio Pequito is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Sérgio Pequito has authored 76 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 31 papers in Control and Systems Engineering and 16 papers in Cognitive Neuroscience. Recurrent topics in Sérgio Pequito's work include Distributed Control Multi-Agent Systems (24 papers), Gene Regulatory Network Analysis (14 papers) and Neural dynamics and brain function (13 papers). Sérgio Pequito is often cited by papers focused on Distributed Control Multi-Agent Systems (24 papers), Gene Regulatory Network Analysis (14 papers) and Neural dynamics and brain function (13 papers). Sérgio Pequito collaborates with scholars based in United States, Portugal and Netherlands. Sérgio Pequito's co-authors include A. Pedro Aguiar, Soummya Kar, George J. Pappas, Jennifer A. Pazour, Víctor M. Preciado, Paul Bogdan, Guilherme Ramos, Danielle S. Bassett, Ximing Chen and Michael B. Miller and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Journal of Cleaner Production.

In The Last Decade

Sérgio Pequito

71 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sérgio Pequito United States 17 428 293 178 178 148 76 1000
Weifeng Xu United States 19 257 0.6× 27 0.1× 57 0.3× 522 2.9× 153 1.0× 86 1.4k
Viswanath Talasila India 10 72 0.2× 348 1.2× 72 0.4× 66 0.4× 48 0.3× 44 641
Zhenghua Ma China 12 115 0.3× 37 0.1× 36 0.2× 135 0.8× 233 1.6× 64 665
Tien-Loc Le Vietnam 18 212 0.5× 266 0.9× 12 0.1× 89 0.5× 192 1.3× 42 740
Ramkrishna Pasumarthy India 11 78 0.2× 281 1.0× 71 0.4× 68 0.4× 27 0.2× 58 649
Mukhtaj Khan Pakistan 20 283 0.7× 52 0.2× 311 1.7× 27 0.2× 6 0.0× 45 948
Rocco Fazzolari Italy 15 147 0.3× 91 0.3× 10 0.1× 47 0.3× 14 0.1× 56 765
Kee-Eung Kim South Korea 16 110 0.3× 107 0.4× 26 0.1× 115 0.6× 9 0.1× 63 941
Axel Krings United States 14 315 0.7× 71 0.2× 36 0.2× 22 0.1× 18 0.1× 80 607

Countries citing papers authored by Sérgio Pequito

Since Specialization
Citations

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

Fields of papers citing papers by Sérgio Pequito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sérgio Pequito

This figure shows the co-authorship network connecting the top 25 collaborators of Sérgio Pequito. A scholar is included among the top collaborators of Sérgio Pequito 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 Sérgio Pequito. Sérgio Pequito 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
1.
Ramos, Guilherme, Sérgio Pequito, & Daniel Silvestre. (2025). Reputation-Based Resilient Consensus With Privacy Guarantees. IEEE Transactions on Control of Network Systems. 12(3). 2381–2391.
2.
Ramos, Guilherme, A. Pedro Aguiar, & Sérgio Pequito. (2024). Minimum jointly structural input and output selection. Automatica. 165. 111668–111668. 1 indexed citations
3.
Pequito, Sérgio, et al.. (2024). Battery Identification With Cubic Spline and Moving Horizon Estimation for Mobile Robots. IEEE Transactions on Control Systems Technology. 32(5). 1944–1951.
4.
Hottowy, Paweł, et al.. (2024). Spike sorting in the presence of stimulation artifacts: a dynamical control systems approach. Journal of Neural Engineering. 21(1). 16022–16022.
5.
Dong, Jinwei, Kaikai Pan, Sérgio Pequito, & Peyman Mohajerin Esfahani. (2024). Robust multivariate detection and estimation with fault frequency content information. Automatica. 173. 112049–112049. 2 indexed citations
6.
Pequito, Sérgio, et al.. (2022). A time-reversed model selection approach to time series forecasting. Scientific Reports. 12(1). 10912–10912. 1 indexed citations
7.
Ashourvan, Arian, Sérgio Pequito, Maxwell A. Bertolero, et al.. (2022). External drivers of BOLD signal’s non-stationarity. PLoS ONE. 17(9). e0257580–e0257580. 1 indexed citations
8.
Pequito, Sérgio, et al.. (2021). Analysis of a generalised expectation–maximisation algorithm for Gaussian mixture models: a control systems perspective. International Journal of Control. 95(10). 2734–2742. 2 indexed citations
9.
Ashourvan, Arian, Sérgio Pequito, Ankit N. Khambhati, et al.. (2020). Model-based design for seizure control by stimulation. Journal of Neural Engineering. 17(2). 26009–26009. 20 indexed citations
10.
Ramos, Guilherme & Sérgio Pequito. (2020). Generating complex networks with time-to-control communities. PLoS ONE. 15(8). e0236753–e0236753. 3 indexed citations
11.
Pequito, Sérgio, et al.. (2020). On the effects of memory and topology on the controllability of complex dynamical networks. Scientific Reports. 10(1). 17346–17346. 12 indexed citations
12.
Ashourvan, Arian, et al.. (2020). Fractional-order model predictive control as a framework for electrical neurostimulation in epilepsy. Journal of Neural Engineering. 17(6). 13 indexed citations
13.
Li, Jingqi, Ximing Chen, Sérgio Pequito, George J. Pappas, & Víctor M. Preciado. (2019). Resilient Structural Stabilizability of Undirected Networks. 5173–5178. 2 indexed citations
14.
Pequito, Sérgio, Farshad Khorrami, P. Krishnamurthy, & George J. Pappas. (2018). Analysis and Design of Actuation–Sensing–Communication Interconnection Structures Toward Secured/Resilient LTI Closed-Loop Systems. IEEE Transactions on Control of Network Systems. 6(2). 667–678. 13 indexed citations
15.
Pequito, Sérgio, George J. Pappas, Michael B. Miller, et al.. (2018). Spectral mapping of brain functional connectivity from diffusion imaging. Scientific Reports. 8(1). 1411–1411. 71 indexed citations
16.
Pequito, Sérgio, Víctor M. Preciado, Albert-Ĺaszló Barabási, & George J. Pappas. (2017). Trade-offs between driving nodes and time-to-control in complex networks. Scientific Reports. 7(1). 39978–39978. 18 indexed citations
17.
Pequito, Sérgio, Soummya Kar, & A. Pedro Aguiar. (2014). On the NP-completeness of the Constrained Minimal Structural Controllability/Observability Problem. arXiv (Cornell University). 5 indexed citations
18.
Pequito, Sérgio, A. Pedro Aguiar, & Soummya Kar. (2014). Minimum Cost Input/Output Selection for Large Scale Linear Time-Invariant Systems: A Structured Systems Approach. arXiv (Cornell University). 1 indexed citations
19.
Pequito, Sérgio, et al.. (2013). Optimal design of distributed sensor networks for field reconstruction. European Signal Processing Conference. 1–5. 8 indexed citations
20.
Pequito, Sérgio, Soummya Kar, & A. Pedro Aguiar. (2013). Minimum cost input-output and control configuration selection: A structural systems approach. 4895–4900. 8 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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