Ram Machlev

1.4k total citations · 1 hit paper
32 papers, 934 citations indexed

About

Ram Machlev is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ram Machlev has authored 32 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 13 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Ram Machlev's work include Energy Load and Power Forecasting (12 papers), Smart Grid Energy Management (9 papers) and Power Transformer Diagnostics and Insulation (7 papers). Ram Machlev is often cited by papers focused on Energy Load and Power Forecasting (12 papers), Smart Grid Energy Management (9 papers) and Power Transformer Diagnostics and Insulation (7 papers). Ram Machlev collaborates with scholars based in Israel, Estonia and China. Ram Machlev's co-authors include Yoash Levron, Juri Belikov, Kfir Y. Levy, M. Perl, Yuval Beck, Shie Mannor, Leena Heistrene, Eduard Petlenkov, Dmitry Baimel and Zhenglong Sun and has published in prestigious journals such as IEEE Access, Sensors and Energy and Buildings.

In The Last Decade

Ram Machlev

30 papers receiving 898 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities

2022 244 citations Ram Machlev, Leena Heistrene et al. Energy and AI profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ram Machlev Israel	15	544	280	154	81	81	32	934
Manuel S. Alvarez‐Alvarado Ecuador	18	483 0.9×	261 0.9×	80 0.5×	60 0.7×	178 2.2×	54	982
Honglei Wang China	17	264 0.5×	287 1.0×	68 0.4×	61 0.8×	103 1.3×	57	921
Yuemin Ding China	19	922 1.7×	419 1.5×	118 0.8×	156 1.9×	225 2.8×	69	1.5k
Muhammad Adnan Pakistan	19	777 1.4×	401 1.4×	122 0.8×	117 1.4×	80 1.0×	62	1.2k
Xianming Ye South Africa	19	476 0.9×	164 0.6×	101 0.7×	210 2.6×	223 2.8×	56	1.0k
Yamin Yan China	20	354 0.7×	359 1.3×	57 0.4×	66 0.8×	141 1.7×	70	1.1k
Wen Zhang China	22	1.1k 2.1×	660 2.4×	156 1.0×	115 1.4×	114 1.4×	132	1.6k
Antonio Gabaldón Spain	16	751 1.4×	236 0.8×	76 0.5×	168 2.1×	171 2.1×	51	962
Andrés Honrubia‐Escribano Spain	19	868 1.6×	586 2.1×	166 1.1×	52 0.6×	252 3.1×	77	1.6k

Countries citing papers authored by Ram Machlev

Since Specialization

Citations

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

Fields of papers citing papers by Ram Machlev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Machlev

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Machlev. A scholar is included among the top collaborators of Ram Machlev 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 Ram Machlev. Ram Machlev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Machlev, Ram, et al.. (2025). Improving robustness of Transformers for power quality disturbance classification via optimized relevance maps. Engineering Applications of Artificial Intelligence. 161. 112138–112138.

Machlev, Ram, et al.. (2024). Reinforcement Learning Model-Based and Model-Free Paradigms for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions. Energies. 17(21). 5307–5307. 8 indexed citations

Machlev, Ram. (2024). EV battery fault diagnostics and prognostics using deep learning: Review, challenges & opportunities. Journal of Energy Storage. 83. 110614–110614. 26 indexed citations

Heistrene, Leena, Juri Belikov, Dmitry Baimel, et al.. (2024). An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach. IEEE Transactions on Artificial Intelligence. 6(1). 159–168. 5 indexed citations

Wang, Qianchao, et al.. (2023). Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiers. Electric Power Systems Research. 223. 109574–109574. 3 indexed citations

Sitbon, Moshe, Ilan Aharon, Ram Machlev, et al.. (2023). A new resonant fault current limiter for improved wind turbine transient stability. Electric Power Systems Research. 223. 109600–109600. 1 indexed citations

Sun, Zhenglong, Ram Machlev, Qianchao Wang, et al.. (2023). A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers. Energy and AI. 14. 100274–100274. 26 indexed citations

Heistrene, Leena, Ram Machlev, Juri Belikov, et al.. (2023). Explainability-based Trust Algorithm for electricity price forecasting models. Energy and AI. 14. 100259–100259. 11 indexed citations

Machlev, Ram, Leena Heistrene, M. Perl, et al.. (2022). Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities. Energy and AI. 9. 100169–100169. 244 indexed citations breakdown →

10.

Belikov, Juri, et al.. (2022). Explainable AI based Fault Detection and Diagnosis System for Air Handling Units. 271–279. 7 indexed citations

11.

Machlev, Ram, et al.. (2022). Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI). Sensors. 22(17). 6338–6338. 16 indexed citations

12.

Machlev, Ram, et al.. (2022). Explaining the Decisions of Deep Learning Models for Load Disaggregation (NILM) Based on XAI. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 4 indexed citations

13.

Machlev, Ram, et al.. (2021). Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review. Energy Reports. 7. 997–1015. 133 indexed citations

14.

Machlev, Ram, et al.. (2021). Open source dataset generator for power quality disturbances with deep-learning reference classifiers. Electric Power Systems Research. 195. 107152–107152. 39 indexed citations

15.

Machlev, Ram, M. Perl, Juri Belikov, Kfir Y. Levy, & Yoash Levron. (2021). Measuring Explainability and Trustworthiness of Power Quality Disturbances Classifiers Using XAI—Explainable Artificial Intelligence. IEEE Transactions on Industrial Informatics. 18(8). 5127–5137. 45 indexed citations

16.

Machlev, Ram, et al.. (2021). Distributed storage placement policy for minimizing frequency deviations: A combinatorial optimization approach based on enhanced cross-entropy method. International Journal of Electrical Power & Energy Systems. 134. 107332–107332. 5 indexed citations

17.

Machlev, Ram, et al.. (2021). Effects of the COVID-19 Pandemic on Energy Systems and Electric Power Grids—A Review of the Challenges Ahead. Energies. 14(4). 1056–1056. 65 indexed citations

18.

Machlev, Ram, et al.. (2020). Readiness of Small Energy Markets and Electric Power Grids to Global Health Crises: Lessons From the COVID-19 Pandemic. IEEE Access. 8. 127234–127243. 31 indexed citations

19.

Machlev, Ram, et al.. (2020). Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review. Energies. 13(15). 3982–3982. 33 indexed citations

20.

Machlev, Ram, Yoash Levron, & Yuval Beck. (2018). Modified Cross-Entropy Method for Classification of Events in NILM Systems. IEEE Transactions on Smart Grid. 10(5). 4962–4973. 44 indexed citations

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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