Petre Stoica

56.9k total citations · 19 hit papers
688 papers, 42.0k citations indexed

About

Petre Stoica is a scholar working on Signal Processing, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Petre Stoica has authored 688 papers receiving a total of 42.0k indexed citations (citations by other indexed papers that have themselves been cited), including 398 papers in Signal Processing, 178 papers in Aerospace Engineering and 150 papers in Computational Mechanics. Recurrent topics in Petre Stoica's work include Direction-of-Arrival Estimation Techniques (295 papers), Speech and Audio Processing (152 papers) and Blind Source Separation Techniques (143 papers). Petre Stoica is often cited by papers focused on Direction-of-Arrival Estimation Techniques (295 papers), Speech and Audio Processing (152 papers) and Blind Source Separation Techniques (143 papers). Petre Stoica collaborates with scholars based in Sweden, United States and Romania. Petre Stoica's co-authors include Jian Li, T. Söderström, Arye Nehorai, Jian Li, Yanwei Wang, Yngve Selén, Prabhu Babu, Luzhou Xu, K.C. Sharman and Erik G. Larsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Petre Stoica

661 papers receiving 39.9k citations

Hit Papers

System identification 1988 2026 2000 2013 1988 2005 1989 2007 2003 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petre Stoica Sweden 93 18.6k 15.1k 11.1k 7.7k 5.8k 688 42.0k
T. Kailath United States 86 17.5k 0.9× 6.5k 0.4× 9.4k 0.8× 7.4k 1.0× 8.4k 1.4× 571 40.5k
S. Haykin Canada 61 10.0k 0.5× 6.9k 0.5× 17.0k 1.5× 7.8k 1.0× 4.1k 0.7× 330 42.3k
Arye Nehorai United States 59 8.1k 0.4× 6.5k 0.4× 4.9k 0.4× 2.9k 0.4× 1.3k 0.2× 457 17.5k
Emmanuel J. Candès United States 71 13.2k 0.7× 4.8k 0.3× 10.5k 1.0× 41.4k 5.4× 1.9k 0.3× 158 71.8k
Stéphane Mallat France 44 9.3k 0.5× 1.9k 0.1× 4.4k 0.4× 7.4k 1.0× 4.7k 0.8× 124 51.4k
Yonina C. Eldar Israel 87 6.7k 0.4× 7.1k 0.5× 11.6k 1.0× 11.6k 1.5× 1.1k 0.2× 809 33.8k
Georgios B. Giannakis United States 115 8.7k 0.5× 4.7k 0.3× 33.1k 3.0× 6.6k 0.9× 5.6k 1.0× 1.1k 50.1k
Jian Li United States 68 6.9k 0.4× 10.5k 0.7× 5.9k 0.5× 3.3k 0.4× 399 0.1× 594 20.2k
Richard G. Baraniuk United States 78 6.2k 0.3× 2.1k 0.1× 6.8k 0.6× 14.4k 1.9× 1.6k 0.3× 483 32.7k
P. P. Vaidyanathan United States 64 14.8k 0.8× 5.0k 0.3× 5.3k 0.5× 4.6k 0.6× 829 0.1× 497 21.5k

Countries citing papers authored by Petre Stoica

Since Specialization
Citations

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

Fields of papers citing papers by Petre Stoica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petre Stoica

This figure shows the co-authorship network connecting the top 25 collaborators of Petre Stoica. A scholar is included among the top collaborators of Petre Stoica 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 Petre Stoica. Petre Stoica 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.
Babu, Prabhu & Petre Stoica. (2025). CellMCD+: An improved outlier-resistant cellwise minimum covariance determinant method. Statistics & Probability Letters. 220. 110366–110366.
2.
Babu, Prabhu, et al.. (2025). Robust Direction-of-Arrival Estimation in the Presence of Outliers. IEEE Transactions on Aerospace and Electronic Systems. 61(4). 10921–10927.
3.
Stoica, Petre & Prabhu Babu. (2024). Pearson–Matthews correlation coefficients for binary and multinary classification. Signal Processing. 222. 109511–109511. 15 indexed citations
4.
Wang, Zengkun, Petre Stoica, Dave Zachariah, Prabhu Babu, & Zhibo Yang. (2023). Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals. IEEE Transactions on Instrumentation and Measurement. 72. 1–9.
5.
Yang, Zai, et al.. (2022). Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach. IEEE Transactions on Signal Processing. 70. 4156–4169. 18 indexed citations
6.
Zachariah, Dave, et al.. (2021). Robust localization in wireless networks from corrupted signals. EURASIP Journal on Advances in Signal Processing. 2021(1). 1 indexed citations
7.
Zachariah, Dave, et al.. (2020). Robust Risk Minimization for Statistical Learning From Corrupted Data. IEEE Open Journal of Signal Processing. 1. 287–294. 1 indexed citations
8.
Yang, Zai, Petre Stoica, & Jinhui Tang. (2019). Source Resolvability of Spatial-Smoothing-Based Subspace Methods: A Hadamard Product Perspective. IEEE Transactions on Signal Processing. 67(10). 2543–2553. 34 indexed citations
9.
Zhang, Rong, et al.. (2018). Bayesian Information Criterion for Signed Measurements With Application to Sinusoidal Signals. IEEE Signal Processing Letters. 25(8). 1251–1255. 18 indexed citations
10.
Soltanalian, Mojtaba, et al.. (2014). Search for Costas Arrays Via Sparse Representation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3 indexed citations
11.
Aubry, Augusto, Antonio De Maio, Marco Piezzo, et al.. (2014). Cognitive radar waveform design for spectral coexistence in signal-dependent interference. 474–478. 77 indexed citations
12.
Naghsh, Mohammad Mahdi, Mojtaba Soltanalian, Petre Stoica, & Mahmoud Modarres-Hashemi. (2013). Radar code optimization for moving target detection. European Signal Processing Conference. 1–5. 4 indexed citations
13.
Gudmundson, Erik, et al.. (2011). Signal processing algorithms for removing banding artifacts in MRI. Lund University Publications (Lund University). 1000–1004. 2 indexed citations
14.
Christensen, Mads Græsbøll, Petre Stoica, Andreas Jakobsson, & Søren Holdt Jensen. (2008). Multi-Pitch Estimation : to appear. Signal Processing. 2 indexed citations
15.
Xu, Luzhou, Jian Li, & Petre Stoica. (2006). Radar imaging via adaptive MIMO techniques. European Signal Processing Conference. 1–5. 74 indexed citations
16.
Jakobsson, Andreas, Torbjörn Ekman, & Petre Stoica. (1998). Capon and APES spectrum estimation for real-valued signals. 7 indexed citations
17.
Stoica, Petre, et al.. (1993). System Identification. Journal of Dynamic Systems Measurement and Control. 115(4). 739–740. 94 indexed citations
18.
Stoica, Petre & Arye Nehorai. (1988). Study of the statistical performance of the Pisarenko harmonic decomposition method. IEE Proceedings F Communications, Radar and Signal Processing. 135(2). 161–168. 26 indexed citations
19.
Stoica, Petre, B. Friedlander, & Torsten Söderström. (1986). Least-squares, Yule-Walker, and overdetermined Yule—Walker estimation of AR parameters: a Monte Carlo analysis of finite-sample properties. International Journal of Control. 43(1). 13–27. 11 indexed citations
20.
Stoica, Petre. (1981). The Steiglitz-McBride Algorithm Revisited-Convergence Analysis and Accuracy Aspects. 26. 10 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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