Jonatan Lerga
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
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- Image and Signal Denoising Methods
Papers in
-
- Image and Signal Denoising Methods 21
- Advanced Image Processing Techniques 5
- Advanced Neural Network Applications 5
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- Blind Source Separation Techniques 22
- Co-authors
- Victor Sucic (16 shared papers)Ivan Štajduhar (12 shared papers)B. Boashash (3 shared papers)Nicoletta Saulig (16 shared papers)Franko Hržić (7 shared papers)Goran Mauša (5 shared papers)Eftim Zdravevski (2 shared papers)Petre Lameski (1 shared paper)
- Journals
- Sensors (5 papers)IEEE Signal Processing Letters (2 papers)Expert Systems with Applications (2 papers)Applied Artificial Intelligence (2 papers)IEEE Transactions on Signal Processing (2 papers)
- Partner nations
- CroatiaMontenegroItaly
In The Last Decade
Jonatan Lerga
64 papers receiving 796 citations
Peers
Comparison fields: 5 of 112
- Signal Processing 196
- Computer Vision and Pattern Recognition 294
- Media Technology 89
- Control and Systems Engineering 143
- Oceanography 71
Countries citing papers authored by Jonatan Lerga
This map shows the geographic impact of Jonatan Lerga'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 Jonatan Lerga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonatan Lerga more than expected).
Fields of papers citing papers by Jonatan Lerga
This network shows the impact of papers produced by Jonatan Lerga. 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 Jonatan Lerga. The network helps show where Jonatan Lerga may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonatan Lerga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2009 | 74 | |
| 3 | 2021 | 61 | |
| 4 | 2011 | 59 | |
| 5 | 2008 | 44 | |
| 6 | 2023 | 41 | |
| 7 | 2022 | 36 | |
| 8 | 2016 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2018 | 22 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 17 | |
| 14 | 2012 | 16 | |
| 15 | 2009 | 16 | |
| 16 | 2024 | 15 | |
| 17 | 2020 | 12 | |
| 18 | 2023 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2017 | 10 |
About Jonatan Lerga
Jonatan Lerga is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Control and Systems Engineering and Cognitive Neuroscience, having authored 75 papers that have together received 819 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (22 papers), Image and Signal Denoising Methods (21 papers), Machine Fault Diagnosis Techniques (8 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Electrical Measurement Techniques (6 papers), Underwater Acoustics Research (6 papers), Advanced Image Processing Techniques (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Signal Processing (196 citations), Computer Vision and Pattern Recognition (294 citations), Media Technology (89 citations), Control and Systems Engineering (143 citations) and Oceanography (71 citations). Jonatan Lerga has collaborated with scholars based in Croatia, Montenegro and Italy. Frequent co-authors include Victor Sucic, Ivan Štajduhar, B. Boashash, Nicoletta Saulig, Franko Hržić, Goran Mauša, Eftim Zdravevski, Petre Lameski, Roberto Corizzo and Vladimir Mozetič. Their work appears in journals such as Sensors, IEEE Signal Processing Letters, Expert Systems with Applications, Applied Artificial Intelligence and IEEE Transactions on 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.