Robert Mieth

572 citations
24 papers · 360 indexed · h-index 10

Robert Mieth

24 papers receiving 354 citations

Peers

Robert Mieth
Comparison fields: 5 of 52
  • Electrical and Electronic Engineering 270
  • Control and Systems Engineering 106
  • Safety, Risk, Reliability and Quality 37
  • Energy Engineering and Power Technology 12
  • Industrial and Manufacturing Engineering 30
Replace Xinbo Geng with:
Xinbo Geng United States
Jean‐Marc Nicod France
Ciwei Gao China
Alexandre Rasi Aoki Brazil
A. Ott United States
Vinícius Jacques Garcia Brazil
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Arman Goudarzi China
Deepak Kumar India
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Citations per field
00.5×4.3×
Xinbo Geng · 1×
Citations per year

Countries citing papers authored by Robert Mieth

Since Specialization
Citations

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

Fields of papers citing papers by Robert Mieth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Robert Mieth, 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 Robert Mieth Line = papers co-authored together Robert Mieth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20243
4 20246
5 20233
6 20235
7 202212
8 202237
9 20226
10 20225
11 202134
12 202128
13 20216
14 20208
15 202027
16 202013
17 201947
18 201861
19 20183
20
Electricity grids and climate targets: New approaches to grid planning
20151

About Robert Mieth

Robert Mieth is a scholar working on Electrical and Electronic Engineering, Statistics, Probability and Uncertainty, Management Science and Operations Research, Safety, Risk, Reliability and Quality and Industrial and Manufacturing Engineering, having authored 24 papers that have together received 360 indexed citations. Recurring topics across this work include Electric Power System Optimization (10 papers), Optimal Power Flow Distribution (8 papers), Smart Grid Energy Management (7 papers), Smart Grid Security and Resilience (3 papers), Energy Load and Power Forecasting (3 papers), Power System Reliability and Maintenance (2 papers), Electricity Theft Detection Techniques (2 papers) and Digital Transformation in Industry (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (270 citations), Control and Systems Engineering (106 citations), Safety, Risk, Reliability and Quality (37 citations), Energy Engineering and Power Technology (12 citations) and Industrial and Manufacturing Engineering (30 citations). Robert Mieth has collaborated with scholars based in United States, Germany and Saudi Arabia. Frequent co-authors include Yury Dvorkin, Samrat Acharya, Ramesh Karri, Birgit Vogel‐Heuser, Felix Ocker, Charalambos Konstantinou, Iris R. Weiss, Yury Dvorkin, Miguel A. Ortega‐Vazquez and H. Vincent Poor. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Control Systems Letters, Electric Power Systems Research, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Current Sustainable/Renewable 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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