Yoash Levron

4.1k citations
136 papers · 3.0k indexed · 2 hit papers · h-index 31

Yoash Levron

121 papers receiving 2.9k citations

Hit Papers

Explainable Artificial In...2442013202620172021100200300

Peers

Yoash Levron
Comparison fields: 5 of 102
  • Energy Engineering and Power Technology 258
  • Control and Systems Engineering 1.3k
  • Renewable Energy, Sustainability and the Environment 666
  • Electrical and Electronic Engineering 2.3k
  • Automotive Engineering 395
Replace Juri Belikov with:
Juri Belikov Estonia
Surender Reddy Salkuti South Korea
Karar Mahmoud Egypt
S. M. Suhail Hussain India
Ameena Saad Al‐Sumaiti United Arab Emirates
Qingshan Xu China
Shady S. Refaat Qatar
Amanullah Maung Than Oo Australia
Dongsheng Cai China
Mohammed Albadi Oman
Yoash Levron relative to Juri Belikov Estonia Juri Belikov's profile →
Citations per field
00.5×2.6×
Juri Belikov · 1×
Citations per year

Countries citing papers authored by Yoash Levron

Since Specialization
Citations

This map shows the geographic impact of Yoash Levron'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 Yoash Levron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoash Levron more than expected).

Fields of papers citing papers by Yoash Levron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoash Levron. 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 Yoash Levron. The network helps show where Yoash Levron may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yoash Levron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yoash Levron Line = papers co-authored together Yoash Levron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunitiesbreakdown →
2022244
16 2021133
17 20213
18 202031
19 20177
20 201520

About Yoash Levron

Yoash Levron is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Automotive Engineering, having authored 136 papers that have together received 3.0k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (51 papers), Smart Grid Energy Management (32 papers), Power System Optimization and Stability (28 papers), Energy Load and Power Forecasting (14 papers), Photovoltaic System Optimization Techniques (13 papers), Optimal Power Flow Distribution (13 papers), Energy Harvesting in Wireless Networks (10 papers) and Advanced DC-DC Converters (10 papers). The work is most often cited by research in Energy Engineering and Power Technology (258 citations), Control and Systems Engineering (1.3k citations), Renewable Energy, Sustainability and the Environment (666 citations), Electrical and Electronic Engineering (2.3k citations) and Automotive Engineering (395 citations). Yoash Levron has collaborated with scholars based in Israel, Estonia and United States. Frequent co-authors include Juri Belikov, Doron Shmilovitz, Ram Machlev, Yuval Beck, Josep M. Guerrero, Daniel Akinyele, Dmitry Baimel, Eduard Petlenkov, Dragan Maksimović and Kfir Y. Levy. Their work appears in journals such as Electric Power Systems Research, Energies, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Systems and Electronics.

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.

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