Damián Marelli

1.5k total citations
79 papers, 1.1k citations indexed

About

Damián Marelli is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Damián Marelli has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 32 papers in Control and Systems Engineering and 25 papers in Artificial Intelligence. Recurrent topics in Damián Marelli's work include Target Tracking and Data Fusion in Sensor Networks (22 papers), Distributed Sensor Networks and Detection Algorithms (18 papers) and Stability and Control of Uncertain Systems (17 papers). Damián Marelli is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (22 papers), Distributed Sensor Networks and Detection Algorithms (18 papers) and Stability and Control of Uncertain Systems (17 papers). Damián Marelli collaborates with scholars based in Australia, China and Argentina. Damián Marelli's co-authors include Minyue Fu, Tianju Sui, Xi‐Ming Sun, Keyou You, Boris I. Godoy, Graham C. Goodwin, Yilin Mo, Torbjörn Wigren, Juan C. Agüero and Brett Ninness and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Cleaner Production and Automatica.

In The Last Decade

Damián Marelli

78 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damián Marelli Australia 17 579 414 372 314 115 79 1.1k
Benjamin Noack Germany 17 394 0.7× 524 1.3× 760 2.0× 130 0.4× 46 0.4× 100 1.0k
Jean‐Pierre Barbot France 22 902 1.6× 226 0.5× 113 0.3× 286 0.9× 85 0.7× 109 1.4k
Anders Åhlén Sweden 16 558 1.0× 735 1.8× 185 0.5× 482 1.5× 69 0.6× 96 1.2k
Sheetal Kalyani India 19 194 0.3× 442 1.1× 260 0.7× 877 2.8× 89 0.8× 107 1.3k
Quanbo Ge China 16 357 0.6× 252 0.6× 462 1.2× 270 0.9× 28 0.2× 91 920
Zhi Feng Singapore 20 1.2k 2.1× 1.6k 3.8× 152 0.4× 296 0.9× 93 0.8× 87 2.1k
Iñaki Esnaola United States 11 531 0.9× 469 1.1× 265 0.7× 323 1.0× 114 1.0× 49 851
Novak Nedić Serbia 13 468 0.8× 92 0.2× 282 0.8× 115 0.4× 90 0.8× 23 1.1k
Enbin Song China 21 508 0.9× 742 1.8× 728 2.0× 630 2.0× 44 0.4× 73 1.5k
Yanling Wei China 14 1.2k 2.1× 647 1.6× 232 0.6× 136 0.4× 25 0.2× 16 1.7k

Countries citing papers authored by Damián Marelli

Since Specialization
Citations

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

Fields of papers citing papers by Damián Marelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damián Marelli

This figure shows the co-authorship network connecting the top 25 collaborators of Damián Marelli. A scholar is included among the top collaborators of Damián Marelli 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 Damián Marelli. Damián Marelli 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.
Cai, Qianqian, et al.. (2024). Stabilization of Networked Switched Systems Under DoS Attacks. IEEE Transactions on Cybernetics. 54(8). 4859–4866. 7 indexed citations
2.
Cai, Qianqian, et al.. (2024). Dynamically multi-objective optimization with state observer for wastewater treatment process. Journal of Cleaner Production. 486. 144415–144415. 1 indexed citations
3.
Marelli, Damián, et al.. (2022). LQG Differential Stackelberg Game Under Nested Observation Information Patterns. IEEE Transactions on Automatic Control. 68(8). 5111–5118. 5 indexed citations
4.
Marelli, Damián, et al.. (2021). Distributed Newton Optimization With Maximized Convergence Rate. IEEE Transactions on Automatic Control. 67(10). 5555–5562. 5 indexed citations
5.
Marelli, Damián, et al.. (2021). Distributed Target Tracking Using Maximum Likelihood Kalman Filter With Non-Linear Measurements. IEEE Sensors Journal. 21(24). 27818–27826. 3 indexed citations
6.
Marelli, Damián, Tianju Sui, Minyue Fu, & Renquan Lu. (2020). Statistical Approach to Detection of Attacks for Stochastic Cyber-Physical Systems. IEEE Transactions on Automatic Control. 66(2). 849–856. 14 indexed citations
7.
Marelli, Damián & Minyue Fu. (2020). Asymptotic properties of statistical estimators using multivariate Chi-squared measurements. Digital Signal Processing. 103. 102754–102754. 2 indexed citations
8.
Marelli, Damián, Tianju Sui, Minyue Fu, & Xi‐Ming Sun. (2020). Convergence and Accuracy Analysis for a Distributed Static State Estimator Based on Gaussian Belief Propagation. IEEE Transactions on Automatic Control. 66(10). 4785–4791. 4 indexed citations
9.
Sui, Tianju, Yilin Mo, Damián Marelli, Xi‐Ming Sun, & Minyue Fu. (2020). The Vulnerability of Cyber-Physical System Under Stealthy Attacks. IEEE Transactions on Automatic Control. 66(2). 637–650. 112 indexed citations
10.
Wang, Wen-Xu, Damián Marelli, & Minyue Fu. (2020). Multiple-Vehicle Localization Using Maximum Likelihood Kalman Filtering and Ultra-Wideband Signals. IEEE Sensors Journal. 21(4). 4949–4956. 33 indexed citations
11.
Marelli, Damián, et al.. (2020). Linear quadratic Gaussian Stackelberg game under asymmetric information patterns. Automatica. 125. 109406–109406. 10 indexed citations
12.
Sui, Tianju, Damián Marelli, Xi‐Ming Sun, & Minyue Fu. (2019). Stealthiness of Attacks and Vulnerability of Stochastic Linear Systems. NOVA (University of Newcastle Australia). 734–739. 1 indexed citations
13.
Marelli, Damián, Robert Baumgartner, & Piotr Majdak. (2015). Efficient Approximation of Head-Related Transfer Functions in Subbands for Accurate Sound Localization. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(7). 1–1. 5 indexed citations
14.
Marelli, Damián & Minyue Fu. (2014). Distributed weighted least-squares estimation with fast convergence for large-scale systems. Automatica. 51. 27–39. 71 indexed citations
15.
Marelli, Damián, et al.. (2011). Power system dynamic state estimation with random communication packets loss. 359–362. 5 indexed citations
16.
Marelli, Damián, et al.. (2011). A unified framework for mean square stability of Kalman filters with intermittent observations. 1976. 177–182. 2 indexed citations
17.
Marelli, Damián, Kaushik Mahata, & Minyue Fu. (2011). Hybrid Filterbank ADCs With Blind Filterbank Estimation. IEEE Transactions on Circuits and Systems I Regular Papers. 58(10). 2446–2457. 8 indexed citations
18.
Marelli, Damián, Keyou You, & Minyue Fu. (2011). Identification of ARMA models using intermittent and quantized output observations. 4076–4079. 8 indexed citations
19.
Marelli, Damián & Péter Balázs. (2009). On Pole-Zero Model Estimation Methods Minimizing a Logarithmic Criterion for Speech Analysis. IEEE Transactions on Audio Speech and Language Processing. 18(2). 237–248. 14 indexed citations
20.
Marelli, Damián & Minyue Fu. (2002). Convergence properties of subband identification. NOVA (University of Newcastle Australia). 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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