Ljubiša Stanković
- Control and Systems Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.2%
- Aerospace Engineering top 0.5%
- Computational Mechanics top 0.5%
- Co-authors
- Igor DjurovićMiloš DakovićT. ThayaparanSrdjan StankovićErvin SejdićVladimir KatkovnikIrena OrovićDanilo P. Mandic
- Topics
- Image and Signal Denoising Methods (83 papers)Machine Fault Diagnosis Techniques (80 papers)Structural Health Monitoring Techniques (58 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryIEEE Transactions on Image Processing
- Partner nations
- MontenegroCanadaUnited Kingdom
In The Last Decade
Ljubiša Stanković
275 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Control and Systems Engineering 2.2k
- Computer Vision and Pattern Recognition 2.1k
- Signal Processing 2.0k
- Aerospace Engineering 1.7k
- Computational Mechanics 1.2k
Countries citing papers authored by Ljubiša Stanković
This map shows the geographic impact of Ljubiša 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 Ljubiša Stanković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ljubiša Stanković more than expected).
Fields of papers citing papers by Ljubiša Stanković
This network shows the impact of papers produced by Ljubiša 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 Ljubiša Stanković. The network helps show where Ljubiša Stanković may publish in the future.
Co-authorship network of co-authors of Ljubiša Stanković
This figure shows the co-authorship network connecting the top 25 collaborators of Ljubiša Stanković. A scholar is included among the top collaborators of Ljubiša 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 Ljubiša Stanković. Ljubiša 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | Signal reconstruction from two close fractional Fourier power spectra | 4 |
| 17 | Time-frequency signal processing approaches with applications to heart sound analysis | 22 |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 5 |
About Ljubiša Stanković
Ljubiša Stanković is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 286 papers that have together received 6.8k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (83 papers), Machine Fault Diagnosis Techniques (80 papers) and Structural Health Monitoring Techniques (58 papers). The work is most often cited by research in Signal Processing (2.0k citations), Computer Vision and Pattern Recognition (2.1k citations) and Control and Systems Engineering (2.2k citations). Ljubiša Stanković has collaborated with scholars based in Montenegro, Canada and United Kingdom. Frequent co-authors include Igor Djurović, Miloš Daković, T. Thayaparan, Srdjan Stanković, Ervin Sejdić, Vladimir Katkovnik, Irena Orović, Srdjan Stanković, Danilo P. Mandic and Veselin N. Ivanović. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Image 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.