Sergios Theodoridis

11.2k total citations · 1 hit paper
220 papers, 6.0k citations indexed

About

Sergios Theodoridis is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sergios Theodoridis has authored 220 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Signal Processing, 90 papers in Computational Mechanics and 75 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sergios Theodoridis's work include Advanced Adaptive Filtering Techniques (76 papers), Blind Source Separation Techniques (43 papers) and Image and Signal Denoising Methods (41 papers). Sergios Theodoridis is often cited by papers focused on Advanced Adaptive Filtering Techniques (76 papers), Blind Source Separation Techniques (43 papers) and Image and Signal Denoising Methods (41 papers). Sergios Theodoridis collaborates with scholars based in Greece, United States and China. Sergios Theodoridis's co-authors include Konstantinos Koutroumbas, Konstantinos Slavakis, N. Kalouptsidis, Michael Mavroforakis, Pantelis Bouboulis, Aggelos Pikrakis, Eleftherios Kofidis, Symeon Chouvardas, Isao Yamada and Yannis Kopsinis and has published in prestigious journals such as PLoS ONE, NeuroImage and Proceedings of the IEEE.

In The Last Decade

Sergios Theodoridis

205 papers receiving 5.7k citations

Hit Papers

Machine Learning: A Bayesian and Optimization Perspective 2015 2026 2018 2022 2015 100 200 300
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. Machine Learning: A Bayesian and Optimization Perspective
    2015 362 citations Sergios Theodoridis CERN Document Server (European Organization for Nuclear Research) profile →

Peers

Sergios Theodoridis
Jelena Kovačević United States
Brett W. Bader United States
Barak A. Pearlmutter United States
Ming Yuan United States
Douglas L. Jones United States
A.N. Venetsanopoulos Canada
Zhiping Lin Singapore
Aristidis Likas Greece
James T. Kwok Hong Kong
John C. Duchi United States
Jelena Kovačević United States
Sergios Theodoridis
Citations per year, relative to Sergios Theodoridis Sergios Theodoridis (= 1×) peers Jelena Kovačević

Countries citing papers authored by Sergios Theodoridis

Since Specialization
Citations

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

Fields of papers citing papers by Sergios Theodoridis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergios Theodoridis

This figure shows the co-authorship network connecting the top 25 collaborators of Sergios Theodoridis. A scholar is included among the top collaborators of Sergios Theodoridis 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 Sergios Theodoridis. Sergios Theodoridis 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.
Yin, Feng, et al.. (2025). Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14869–14883.
2.
Li, Siyuan, et al.. (2025). FieldFormer: Self-Supervised Reconstruction of Physical Fields via Tensor Attention Prior. IEEE Transactions on Signal Processing. 73. 2704–2718.
3.
Cheng, Lei, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, & Tsung‐Hui Chang. (2022). Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. IEEE Signal Processing Magazine. 39(6). 18–52. 74 indexed citations
4.
Bogris, Adonis, et al.. (2022). Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing. IEEE Journal of Selected Topics in Quantum Electronics. 28(6). 1–10. 8 indexed citations
5.
Cheng, Lei, Zhongtao Chen, Qingjiang Shi, Yik‐Chung Wu, & Sergios Theodoridis. (2022). Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior. IEEE Transactions on Signal Processing. 70. 1834–1849. 26 indexed citations
6.
Chellappa, Rama, Sergios Theodoridis, & André van Schaik. (2021). Advances in Machine Learning and Deep Neural Networks. Proceedings of the IEEE. 109(5). 607–611. 25 indexed citations
7.
Yin, Feng, Qinglei Kong, Yue Xu, et al.. (2020). FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing. IEEE Open Journal of Signal Processing. 1. 187–215. 161 indexed citations
8.
Yin, Feng, et al.. (2020). An Interpretable and Sample Efficient Deep Kernel for Gaussian Process. Uncertainty in Artificial Intelligence. 759–768. 1 indexed citations
9.
Bouboulis, Pantelis, Symeon Chouvardas, & Sergios Theodoridis. (2017). Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features. IEEE Transactions on Signal Processing. 66(7). 1920–1932. 48 indexed citations
10.
Kopsinis, Yannis, Harris Georgiou, & Sergios Theodoridis. (2014). FMRI unmixing via properly adjusted dictionary learning. 2075–2079. 5 indexed citations
11.
Zoubir, Abdelhak M., Mats Viberg, Rama Chellappa, & Sergios Theodoridis. (2014). Array and statistical signal processing. CERN Document Server (European Organization for Nuclear Research). 16 indexed citations
12.
Kofidis, Eleftherios, et al.. (2014). Preamble-based channel estimation in single-relay networks using FBMC/OQAM. EURASIP Journal on Advances in Signal Processing. 2014(1). 3 indexed citations
13.
Sidiropoulos, Nicholas D., Fulvio Gini, Rama Chellappa, & Sergios Theodoridis. (2014). Communications and radar signal processing. Academic Press eBooks. 2 indexed citations
14.
Theodoridis, Sergios & Konstantinos Koutroumbas. (2010). Pattern Recognition & Matlab Intro. 16 indexed citations
15.
Theodoridis, Sergios. (2010). EURASIP and Academic Press Series in Signal and Image Processing. Academic Press eBooks. 1 indexed citations
16.
Theodoridis, Sergios & Konstantinos Koutroumbas. (2008). Pattern Recognition Ed. 4. Elsevier eBooks. 12 indexed citations
17.
Theodoridis, Sergios & Konstantinos Koutroumbas. (2008). Pattern Recognition, Fourth Edition. Academic Press eBooks. 409 indexed citations
18.
Pikrakis, Aggelos, Θεόδωρος Γιαννακόπουλος, & Sergios Theodoridis. (2006). Speech/music discrimination for radio broadcasts using a hybrid HMM-Bayesian Network architecture. European Signal Processing Conference. 1–5. 8 indexed citations
19.
Theodoridis, Sergios & Konstantinos Koutroumbas. (2006). Pattern Recognition, Third Edition. 366 indexed citations
20.
Kalouptsidis, N. & Sergios Theodoridis. (1993). Adaptive system identification and signal processing algorithms. Prentice-Hall, Inc eBooks. 560–560. 121 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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