Joaquı́n Mı́guez

3.7k total citations · 2 hit papers
132 papers, 2.6k citations indexed

About

Joaquı́n Mı́guez is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Joaquı́n Mı́guez has authored 132 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 70 papers in Computer Networks and Communications and 40 papers in Electrical and Electronic Engineering. Recurrent topics in Joaquı́n Mı́guez's work include Target Tracking and Data Fusion in Sensor Networks (66 papers), Distributed Sensor Networks and Detection Algorithms (37 papers) and Advanced Wireless Communication Techniques (26 papers). Joaquı́n Mı́guez is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (66 papers), Distributed Sensor Networks and Detection Algorithms (37 papers) and Advanced Wireless Communication Techniques (26 papers). Joaquı́n Mı́guez collaborates with scholars based in Spain, United States and United Kingdom. Joaquı́n Mı́guez's co-authors include Petar M. Djurić, Mónica F. Bugallo, Tadesse Ghirmai, J.H. Kotecha, Yufei Huang, Yufei Huang, Luca Martino, Luis Castedo, Inés P. Mariño and V́ıctor Elvira and has published in prestigious journals such as PLoS ONE, Automatica and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Joaquı́n Mı́guez

123 papers receiving 2.4k citations

Hit Papers

Particle Filtering 2003 2026 2010 2018 2003 2003 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Particle Filtering
    2003 669 citations Petar M. Djurić, J.H. Kotecha et al. IEEE Signal Processing Magazine profile →
  2. Particle filtering
    2003 517 citations Petar M. Djurić, J.H. Kotecha et al. IEEE Signal Processing Magazine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joaquı́n Mı́guez Spain 21 1.4k 853 693 417 385 132 2.6k
Mónica F. Bugallo United States 23 1.7k 1.3× 876 1.0× 777 1.1× 426 1.0× 349 0.9× 162 2.9k
J.H. Kotecha United States 14 1.6k 1.2× 814 1.0× 860 1.2× 502 1.2× 334 0.9× 29 2.7k
Sumeetpal S. Singh United Kingdom 26 2.4k 1.7× 759 0.9× 503 0.7× 509 1.2× 384 1.0× 86 3.1k
Feng Yin China 25 703 0.5× 432 0.5× 898 1.3× 226 0.5× 167 0.4× 173 2.0k
Xian‐Da Zhang China 27 565 0.4× 641 0.8× 1.2k 1.7× 245 0.6× 994 2.6× 175 3.0k
Petr Tichavský Czechia 25 1.2k 0.9× 481 0.6× 533 0.8× 381 0.9× 1.6k 4.1× 112 3.3k
Dominic Schuhmacher Switzerland 10 1.8k 1.3× 652 0.8× 348 0.5× 253 0.6× 221 0.6× 25 2.3k
Rickard Karlsson Sweden 26 1.5k 1.1× 401 0.5× 762 1.1× 455 1.1× 186 0.5× 66 2.9k
Chongzhao Han China 25 1.6k 1.2× 714 0.8× 316 0.5× 684 1.6× 184 0.5× 303 2.8k
Fred Daum United States 22 1.8k 1.3× 286 0.3× 335 0.5× 374 0.9× 224 0.6× 87 2.6k

Countries citing papers authored by Joaquı́n Mı́guez

Since Specialization
Citations

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

Fields of papers citing papers by Joaquı́n Mı́guez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joaquı́n Mı́guez

This figure shows the co-authorship network connecting the top 25 collaborators of Joaquı́n Mı́guez. A scholar is included among the top collaborators of Joaquı́n Mı́guez 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 Joaquı́n Mı́guez. Joaquı́n Mı́guez 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.
Sanjurjo-Rivo, Manuel, et al.. (2025). An approximate model for the computation of in-orbit collision probabilities using importance sampling. Advances in Space Research. 75(4). 3791–3805.
2.
3.
Mı́guez, Joaquı́n, et al.. (2024). Master-slave coupling scheme for synchronization and parameter estimation in the generalized Kuramoto-Sivashinsky equation. Physical review. E. 110(5). 54206–54206.
4.
Mariño, Inés P., et al.. (2019). Bayesian Computation Methods for Inference in Stochastic Kinetic Models. Complexity. 2019(1). 2 indexed citations
5.
Chouzenoux, Émilie, et al.. (2018). A probabilistic incremental proximal gradient method. arXiv (Cornell University). 3 indexed citations
6.
Mariño, Inés P., Alexey Zaikin, & Joaquı́n Mı́guez. (2017). A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks. PLoS ONE. 12(8). e0182015–e0182015. 4 indexed citations
7.
Mı́guez, Joaquı́n. (2017). On the performance of nonlinear importance samplers and population Monte Carlo schemes. 1–5. 9 indexed citations
8.
Ruíz, Diego P., et al.. (2016). A Bayesian Method for Model Selection in Environmental Noise Prediction. Journal of Environmental Informatics. 19 indexed citations
9.
Mı́guez, Joaquı́n, et al.. (2013). User Activity Tracking in DS-CDMA Systems. IEEE Transactions on Vehicular Technology. 62(7). 3188–3203. 3 indexed citations
10.
Mı́guez, Joaquı́n, et al.. (2012). A multi-model sequential Monte Carlo methodology for indoor tracking: Algorithms and experimental results. Signal Processing. 92(11). 2594–2613. 9 indexed citations
11.
Martino, Luca, et al.. (2009). A multi-model particle filtering algorithm for indoor tracking of mobile terminals using RSS data. 1702–1707. 5 indexed citations
12.
Mariño, Inés P. & Joaquı́n Mı́guez. (2007). Monte Carlo method for multiparameter estimation in coupled chaotic systems. Physical Review E. 76(5). 57203–57203. 1 indexed citations
13.
Mı́guez, Joaquı́n & Antonio Artés-Rodrı́guez. (2006). A particle filter for beacon-free node location and target tracking in sensor networks. European Signal Processing Conference. 1–4. 1 indexed citations
14.
Mı́guez, Joaquı́n, et al.. (2006). Joint Estimation of States and Transition Functions of Dynamic Systems Using Cost-Reference Particle Filtering. 4. 361–364. 1 indexed citations
15.
Mı́guez, Joaquı́n, Mónica F. Bugallo, & Petar M. Djurić. (2005). Decision fusion for distributed target tracking using cost reference particle filtering. European Signal Processing Conference. 1–4. 2 indexed citations
16.
Mariño, Inés P. & Joaquı́n Mı́guez. (2005). Adaptive approximation method for joint parameter estimation and identical synchronization of chaotic systems. Physical Review E. 72(5). 57202–57202. 19 indexed citations
17.
Djurić, Petar M., J.H. Kotecha, Yufei Huang, et al.. (2003). Particle filtering. IEEE Signal Processing Magazine. 517 indexed citations breakdown →
18.
Mı́guez, Joaquı́n, et al.. (2003). Particle filtering for systems with unknown noise probability distributions. 7 indexed citations
19.
Djurić, Petar M. & Joaquı́n Mı́guez. (2002). Sequential particle filtering in the presence of additive Gaussian noise with unknown parameters. IEEE International Conference on Acoustics Speech and Signal Processing. II–1621. 19 indexed citations
20.
Bugallo, Mónica F., Joaquı́n Mı́guez, & Luis Castedo. (2001). A maximum likelihood approach to blind multiuser interference cancellation. IEEE Transactions on Signal Processing. 49(6). 1228–1239. 14 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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