Ram Machlev

1.4k citations
32 papers · 934 indexed · 1 hit paper · h-index 15

Ram Machlev

30 papers receiving 898 citations

Hit Papers

Explainable Artificial Intelligence (XAI) techniques for ...244202220262023202450100150200

Peers

Ram Machlev
Comparison fields: 5 of 89
  • Health Informatics 20
  • Control and Systems Engineering 280
  • Electrical and Electronic Engineering 544
  • Energy Engineering and Power Technology 28
  • Industrial and Manufacturing Engineering 73
Replace Mohamed Tabaa with:
Mohamed Tabaa Morocco
Mariam Elnour Qatar
Xianming Ye South Africa
Benoit Couraud United Kingdom
Yize Chen United States
Owusu Nyarko‐Boateng Ghana
Luís Gomes Portugal
Ahmed Y. Hatata Egypt
Mohammad Nasir Iran
Mao Tan China
Ram Machlev relative to Mohamed Tabaa Morocco Mohamed Tabaa's profile →
Citations per field
00.5×3.3×
Mohamed Tabaa · 1×
Citations per year

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

The 19 scholars most cited alongside Ram Machlev, 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 Ram Machlev Line = papers co-authored together Ram Machlev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202426
3 20248
4 20245
5 20233
6 202326
7 20231
8 202311
9
Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunitiesbreakdown →
2022244
10 20227
11 202216
12 2021133
13 202139
14 202145
15 202165
16 202136
17 202031
18 202033
19 201940
20 201844

About Ram Machlev

Ram Machlev is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Building and Construction and Modeling and Simulation, having authored 32 papers that have together received 934 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (12 papers), Smart Grid Energy Management (9 papers), Power Transformer Diagnostics and Insulation (7 papers), Machine Fault Diagnosis Techniques (5 papers), Power Quality and Harmonics (5 papers), Microgrid Control and Optimization (5 papers), Electric Power System Optimization (5 papers) and Building Energy and Comfort Optimization (3 papers). The work is most often cited by research in Health Informatics (20 citations), Control and Systems Engineering (280 citations), Electrical and Electronic Engineering (544 citations), Energy Engineering and Power Technology (28 citations) and Industrial and Manufacturing Engineering (73 citations). Ram Machlev has collaborated with scholars based in Israel, Estonia and China. Frequent co-authors include Yoash Levron, Juri Belikov, Kfir Y. Levy, M. Perl, Yuval Beck, Leena Heistrene, Shie Mannor, Eduard Petlenkov, Dmitry Baimel and Qianchao Wang. Their work appears in journals such as Energies, Electric Power Systems Research, Energy and AI, International Journal of Electrical Power & Energy Systems and Energy Reports.

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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