Jonatan Lerga
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Victor SucicIvan ŠtajduharB. BoashashNicoletta SauligFranko HržićGoran MaušaEftim ZdravevskiRoberto Corizzo
- Topics
- Blind Source Separation Techniques (21 papers)Image and Signal Denoising Methods (21 papers)Machine Fault Diagnosis Techniques (8 papers)
- Partner nations
- CroatiaMontenegroQatar
In The Last Decade
Jonatan Lerga
62 papers receiving 758 citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 285
- Signal Processing 198
- Control and Systems Engineering 140
- Artificial Intelligence 102
- Electrical and Electronic Engineering 91
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-authorship network of co-authors of Jonatan Lerga
This figure shows the co-authorship network connecting the top 25 collaborators of Jonatan Lerga. A scholar is included among the top collaborators of Jonatan Lerga 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 Jonatan Lerga. Jonatan Lerga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 35 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 30 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 25 | |
| 17 | 10 | |
| 18 | AN ADAPTIVE METHOD FOR VIDEO DENOISING BASED ON THE ICI RULE | 6 |
| 19 | Image denoising based on the one-dimensional LPA-RICI method | 1 |
| 20 | 44 |
About Jonatan Lerga
Jonatan Lerga is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Health Informatics, having authored 69 papers that have together received 779 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (21 papers), Image and Signal Denoising Methods (21 papers) and Machine Fault Diagnosis Techniques (8 papers). The work is most often cited by research in Signal Processing (198 citations), Computer Vision and Pattern Recognition (285 citations) and Media Technology (87 citations). Jonatan Lerga has collaborated with scholars based in Croatia, Montenegro and Qatar. Frequent co-authors include Victor Sucic, Ivan Štajduhar, B. Boashash, Nicoletta Saulig, Franko Hržić, Goran Mauša, Eftim Zdravevski, Roberto Corizzo, Petre Lameski and Vladimir Mozetič. Their work appears in journals such as Journal of Hydrology, IEEE Transactions on Signal Processing and Expert Systems with Applications.
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.