Matjaž Depolli
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Mechanics of Materials
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Co-authors
- Roman TrobecAleksandra RashkovskaGregor KosecViktor AvbeljIvan TomašićBogdan FilipičJ. SlakJanez Konc
- Topics
- ECG Monitoring and Analysis (10 papers)Network Time Synchronization Technologies (6 papers)Wireless Body Area Networks (5 papers)
In The Last Decade
Matjaž Depolli
37 papers receiving 352 citations
Peers
Comparison fields: 5 of 72
- Biomedical Engineering 92
- Cardiology and Cardiovascular Medicine 88
- Mechanics of Materials 82
- Computational Theory and Mathematics 59
- Artificial Intelligence 51
Countries citing papers authored by Matjaž Depolli
This map shows the geographic impact of Matjaž Depolli'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 Matjaž Depolli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matjaž Depolli more than expected).
Fields of papers citing papers by Matjaž Depolli
This network shows the impact of papers produced by Matjaž Depolli. 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 Matjaž Depolli. The network helps show where Matjaž Depolli may publish in the future.
Co-authorship network of co-authors of Matjaž Depolli
This figure shows the co-authorship network connecting the top 25 collaborators of Matjaž Depolli. A scholar is included among the top collaborators of Matjaž Depolli 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 Matjaž Depolli. Matjaž Depolli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 53 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | PCARD Platform for mHealth Monitoring | 14 |
| 11 | Mobile Networks Optimization Using Open-Source GRASS-RaPlaT Tool and Evolutionary Algorithm | 3 |
| 12 | 1 | |
| 13 | Energy efficiency in large-scale distributed computing systems | 2 |
| 14 | Using Hadoop MapReduce in a multicluster environment | 5 |
| 15 | Superlinear speedup in OpenMP parallelization of a local PDE solver | 2 |
| 16 | 11 | |
| 17 | 8 | |
| 18 | Time and frequency analysis of non-uniform sampling | 0 |
| 19 | 17 | |
| 20 | 5 |
About Matjaž Depolli
Matjaž Depolli is a scholar working on Hardware and Architecture, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 359 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (10 papers), Network Time Synchronization Technologies (6 papers) and Wireless Body Area Networks (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (88 citations), Computational Theory and Mathematics (59 citations) and Mechanics of Materials (82 citations). Matjaž Depolli has collaborated with scholars based in Slovenia, Sweden and Croatia. Frequent co-authors include Roman Trobec, Aleksandra Rashkovska, Gregor Kosec, Viktor Avbelj, Ivan Tomašić, Bogdan Filipič, J. Slak, Janez Konc, Dušanka Janežič and Stéphane Bordas. Their work appears in journals such as IEEE Transactions on Power Systems, Sensors and Journal of Computational Chemistry.
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.