Dan Lascu
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- Advanced DC-DC Converters 46
- Multilevel Inverters and Converters 35
- Silicon Carbide Semiconductor Technologies 20
-
- Mathematical Dynamics and Fractals 13
- Co-authors
- Johanna Myrzik (1 shared paper)Roland Szabó (1 shared paper)Aurel Gontean (1 shared paper)Katsunori Kawamura (1 shared paper)Pavol Bauer (2 shared papers)Bilel Selmi (2 shared papers)Violeta Popescu (1 shared paper)Viorel D. Popescu (1 shared paper)
- Journals
- Journal of Number Theory (3 papers)Energies (3 papers)Sensors (2 papers)Applied Sciences (1 paper)Journal of Geometric Analysis (1 paper)
- Partner nations
- RomaniaGermanyUnited States
In The Last Decade
Dan Lascu
66 papers receiving 338 citations
Peers
Comparison fields: 5 of 51
- Neurology 88
- Mathematical Physics 38
- Automotive Engineering 48
- Computer Vision and Pattern Recognition 75
- Electrical and Electronic Engineering 181
Countries citing papers authored by Dan Lascu
This map shows the geographic impact of Dan Lascu'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 Dan Lascu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lascu more than expected).
Fields of papers citing papers by Dan Lascu
This network shows the impact of papers produced by Dan Lascu. 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 Dan Lascu. The network helps show where Dan Lascu may publish in the future.
Co-authors
The 8 scholars most cited alongside Dan Lascu, 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 | 2019 | 103 | |
| 2 | 2005 | 18 | |
| 3 | 2017 | 16 | |
| 4 | 2019 | 16 | |
| 5 | 2014 | 15 | |
| 6 | LabVIEW based biomedical signal acquisition and processing | 2007 | 11 |
| 7 | 2021 | 9 | |
| 8 | 2017 | 9 | |
| 9 | 2013 | 8 | |
| 10 | 2009 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2006 | 6 | |
| 14 | 2015 | 6 | |
| 15 | Modeling, simulation and design of input filter for matrix converters | 2005 | 6 |
| 16 | LabVIEW event detection using Pan-Tompkins algorithm | 2007 | 5 |
| 17 | 2020 | 5 | |
| 18 | DC Motor Drive with PFC Rectifier | 2008 | 4 |
| 19 | Electrocardiogram compression and optimal ECG filtering algorithms | 2008 | 4 |
| 20 | 2020 | 4 |
About Dan Lascu
Dan Lascu is a scholar working on Electrical and Electronic Engineering, Mathematical Physics, Control and Systems Engineering, Applied Mathematics and Automotive Engineering, having authored 75 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (46 papers), Multilevel Inverters and Converters (35 papers), Silicon Carbide Semiconductor Technologies (20 papers), Mathematical Dynamics and Fractals (13 papers), Microgrid Control and Optimization (8 papers), Advanced Battery Technologies Research (7 papers), Analog and Mixed-Signal Circuit Design (6 papers) and Induction Heating and Inverter Technology (5 papers). The work is most often cited by research in Neurology (88 citations), Mathematical Physics (38 citations), Automotive Engineering (48 citations), Computer Vision and Pattern Recognition (75 citations) and Electrical and Electronic Engineering (181 citations). Dan Lascu has collaborated with scholars based in Romania, Germany and United States. Frequent co-authors include Johanna Myrzik, Roland Szabó, Aurel Gontean, Katsunori Kawamura, Pavol Bauer, Bilel Selmi, Violeta Popescu and Viorel D. Popescu. Their work appears in journals such as Journal of Number Theory, Energies, Sensors, Applied Sciences and Journal of Geometric Analysis.
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.