Srdjan Stanković

671 total citations
23 papers, 475 citations indexed

About

Srdjan Stanković is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Srdjan Stanković has authored 23 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 7 papers in Civil and Structural Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Srdjan Stanković's work include Machine Fault Diagnosis Techniques (10 papers), Structural Health Monitoring Techniques (7 papers) and Fault Detection and Control Systems (4 papers). Srdjan Stanković is often cited by papers focused on Machine Fault Diagnosis Techniques (10 papers), Structural Health Monitoring Techniques (7 papers) and Fault Detection and Control Systems (4 papers). Srdjan Stanković collaborates with scholars based in Montenegro, Serbia and United States. Srdjan Stanković's co-authors include Ljubiša Stanković, Miloš S. Stanković, Dušan M. Stipanović, Irena Orović, Ervin Sejdić, Cornel Ioana, Radovan Stojanović, Veselin N. Ivanović, Vladislav B. Tadić and D.D. Šiljak and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and Signal Processing.

In The Last Decade

Srdjan Stanković

21 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srdjan Stanković Montenegro 11 171 147 145 103 93 23 475
F. Castanié France 12 117 0.7× 178 1.2× 82 0.6× 69 0.7× 138 1.5× 89 558
L.F. Chaparro United States 12 151 0.9× 178 1.2× 145 1.0× 46 0.4× 41 0.4× 67 456
E.I. Plotkin Canada 11 77 0.5× 131 0.9× 174 1.2× 35 0.3× 96 1.0× 84 446
W. Kozek Austria 15 153 0.9× 266 1.8× 278 1.9× 165 1.6× 116 1.2× 33 824
Lisandro Lovisolo Brazil 13 97 0.6× 142 1.0× 128 0.9× 89 0.9× 71 0.8× 66 654
Hongxing Zou China 11 85 0.5× 93 0.6× 57 0.4× 117 1.1× 36 0.4× 36 510
R.G. Shenoy United States 11 108 0.6× 139 0.9× 137 0.9× 21 0.2× 47 0.5× 29 383
J.F. Doherty United States 15 69 0.4× 155 1.1× 378 2.6× 85 0.8× 98 1.1× 81 842
G. Gu United States 14 449 2.6× 55 0.4× 40 0.3× 87 0.8× 100 1.1× 33 672
J. Ibáñez Spain 12 58 0.3× 113 0.8× 45 0.3× 131 1.3× 49 0.5× 43 421

Countries citing papers authored by Srdjan Stanković

Since Specialization
Citations

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

Fields of papers citing papers by Srdjan Stanković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srdjan Stanković

This figure shows the co-authorship network connecting the top 25 collaborators of Srdjan Stanković. A scholar is included among the top collaborators of Srdjan Stanković 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 Srdjan Stanković. Srdjan Stanković 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.
Stanković, Srdjan, et al.. (2024). BioEdgeNet: A compact deep residual network for stress recognition on edge devices. Biomedical Signal Processing and Control. 102. 107361–107361.
2.
Orović, Irena, Srdjan Stanković, & Marko Beko. (2021). Multi-base compressive sensing procedure with application to ECG signal reconstruction. EURASIP Journal on Advances in Signal Processing. 2021(1). 2 indexed citations
3.
Radenković, Miloje S., Miloš S. Stanković, & Srdjan Stanković. (2018). Extremum Seeking Control with Two-Sided Stochastic Perturbations. SIAM Journal on Control and Optimization. 56(5). 3766–3783. 2 indexed citations
4.
Bešič, Nikola, Gabriel Vasile, Andrei Anghel, et al.. (2014). Zernike ultrasonic tomography for fluid velocity imaging based on pipeline intrusive time-of-flight measurements. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 61(11). 1846–1855. 9 indexed citations
5.
Orović, Irena, et al.. (2013). FHSS signal characterization based on the crossterms free time-frequency distributions. 152–155. 8 indexed citations
6.
Stanković, Srdjan, Irena Orović, Marie Chabert, & Bijan G. Mobasseri. (2013). Image watermarking based on the space/spatial-frequency analysis and Hermite functions expansion. Journal of Electronic Imaging. 22(1). 13014–13014. 3 indexed citations
7.
Stanković, Srdjan, Irena Orović, & Victor Sucic. (2012). Averaged multiple L-spectrogram for analysis of noisy nonstationary signals. Signal Processing. 92(12). 3068–3074. 2 indexed citations
8.
Stanković, Srdjan, Irena Orović, & Ervin Sejdić. (2012). Multimedia Signals and Systems. 43 indexed citations
9.
Stanković, Srdjan, Miloš S. Stanković, & Dušan M. Stipanović. (2010). Decentralized Parameter Estimation by Consensus Based Stochastic Approximation. IEEE Transactions on Automatic Control. 56(3). 531–543. 109 indexed citations
10.
Stanković, Miloš S., Srdjan Stanković, & Dušan M. Stipanović. (2008). Consensus based multi-agent control structures. 2. 4364–4369. 6 indexed citations
11.
Stanković, Srdjan, et al.. (2007). Generalized Representation of Phase Derivatives for Regular Signals. IEEE Transactions on Signal Processing. 55(10). 4831–4838. 35 indexed citations
12.
Stanković, Srdjan & D.D. Šiljak. (2003). Inclusion Principle for Linear Time-Varying Systems. SIAM Journal on Control and Optimization. 42(1). 321–341. 10 indexed citations
13.
Stanković, Srdjan & Ljubiša Stanković. (2002). An approach to the polynomial Wigner distributions. 1770. 153–156. 3 indexed citations
14.
Stanković, Srdjan, Ljubiša Stanković, Veselin N. Ivanović, & Radovan Stojanović. (2002). An architecture for the vlsi design of systems for time-frequency analysis and time-varying filtering. Annals of Telecommunications. 57(9-10). 974–995. 35 indexed citations
15.
Stanković, Ljubiša, et al.. (2002). The L-Wigner distributions as a tool for robust time-frequency signal analysis. 1. 60–63. 1 indexed citations
16.
Stanković, Srdjan, et al.. (1997). INCLUSION PRINCIPLE OF STOCHASTIC DISCRETE TIME SYSTEMS. 自动化学报.
17.
Stanković, Srdjan & Ljubiša Stanković. (1997). An architecture for the realization of a system for time-frequency signal analysis. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 44(7). 600–604. 46 indexed citations
18.
Stanković, Srdjan, et al.. (1995). On the local frequency, group shift, and cross-terms in some multidimensional time-frequency distributions: a method for multidimensional time-frequency analysis. IEEE Transactions on Signal Processing. 43(7). 1719–1724. 31 indexed citations
19.
Stanković, Ljubiša & Srdjan Stanković. (1995). An analysis of instantaneous frequency representation using time-frequency distributions-generalized Wigner distribution. IEEE Transactions on Signal Processing. 43(2). 549–552. 70 indexed citations
20.
Stanković, Srdjan, et al.. (1985). Estimation of Noisy sinusoids frequencies by the generalized least squares method. 1 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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