Srdjan Stanković
- Control and Systems Engineering top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Computational Mechanics top 10%
- Co-authors
- Ljubiša StankovićMiloš S. StankovićDušan M. StipanovićIrena OrovićErvin SejdićCornel IoanaVeselin N. IvanovićRadovan Stojanović
- Topics
- Machine Fault Diagnosis Techniques (10 papers)Structural Health Monitoring Techniques (7 papers)Fault Detection and Control Systems (4 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Signal ProcessingSignal Processing
- Partner nations
- MontenegroSerbiaUnited States
In The Last Decade
Srdjan Stanković
21 papers receiving 455 citations
Peers
Comparison fields: 5 of 59
- Control and Systems Engineering 171
- Signal Processing 147
- Computer Vision and Pattern Recognition 145
- Computer Networks and Communications 103
- Computational Mechanics 93
Countries citing papers authored by Srdjan Stanković
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 43 | |
| 9 | 109 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 35 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | INCLUSION PRINCIPLE OF STOCHASTIC DISCRETE TIME SYSTEMS | 0 |
| 16 | 46 | |
| 17 | 31 | |
| 18 | 70 | |
| 19 | 38 | |
| 20 | Estimation of Noisy sinusoids frequencies by the generalized least squares method | 1 |
About Srdjan Stanković
Srdjan Stanković is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 475 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (10 papers), Structural Health Monitoring Techniques (7 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Signal Processing (147 citations), Control and Systems Engineering (171 citations) and Computer Vision and Pattern Recognition (145 citations). Srdjan Stanković has collaborated with scholars based in Montenegro, Serbia and United States. Frequent co-authors include Ljubiša Stanković, Miloš S. Stanković, Dušan M. Stipanović, Irena Orović, Ervin Sejdić, Cornel Ioana, Veselin N. Ivanović, Radovan Stojanović, Vladislav B. Tadić and D.D. Šiljak. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and Signal Processing.
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.