Mina Eskander
Mina Eskander publishes mostly in Electrical and Electronic Engineering, Automotive Engineering and Management Science and Operations Research, on topics such as Advanced Battery Technologies Research, Electric Vehicles and Infrastructure and Electric and Hybrid Vehicle Technologies.
- World rank
- #5,421,791 of 7,710,434 ranked researchers
- Rank in Germany
- #280,264 of 364,343
- Works
- 15
- Citations
- 160
- Citations per work
- 10.7
What does Mina Eskander research?
Mina Eskander's work is mostly in Engineering (70%), Decision Sciences (7%), Energy (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1277.3%
- Engineering1170.5%
- Energy14.5%
- Computer Science02.3%
- Everything else215.9%
- Social Sciences16.8%
- Decision Sciences16.8%
- 1Electrical and Electronic Engineering34% of their works
- 2Automotive Engineering34% of their works
- 3Management Science and Operations Research7% of their works
- 4Renewable Energy, Sustainability and the Environment4% of their works
- 5Control and Systems Engineering2% of their works
- 6Information Systems2% of their works
Research topics
Which keywords describe Mina Eskander's research?
The keywords of their largest research topics: Electric Vehicles, Battery Management Systems, Charging Infrastructure, Lithium-ion Batteries, Vehicle-to-Grid, Deep Learning, Neural Networks and Energy Storage Systems.
- Self-Organizing Maps
- Phishing
- Backpropagation Learning
- Stock Market Prediction
- Electricity Price Forecasting
- Energy Storage Systems
- Deep Learning
- Lithium-ion Batteries
- Battery Management Systems
- Electric Vehicles
- Charging Infrastructure
- Vehicle-to-Grid
- Neural Networks
- Hybrid Vehicles
- Load Forecasting
- Time Series Forecasting
- Energy Efficiency
- Rebound Effect
- Spam Detection
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Electric Vehicles223 topics
- Battery Management Systems91 topic
- Charging Infrastructure91 topic
- Lithium-ion Batteries91 topic
- Vehicle-to-Grid91 topic
- Deep Learning63 topics
- Neural Networks63 topics
- Energy Storage Systems41 topic
- Hybrid Vehicles41 topic
- Electricity Price Forecasting31 topic
- Load Forecasting31 topic
- Stock Market Prediction21 topic
- Time Series Forecasting21 topic
- Backpropagation Learning11 topic
- Energy Efficiency11 topic
- Phishing11 topic
- Rebound Effect11 topic
- Self-Organizing Maps11 topic
- Spam Detection11 topic
Where does Mina Eskander work?
Mina Eskander's main affiliation in the publication record is Helmut Schmidt University, Germany.
How many publications and citations does Mina Eskander have?
OpenAlex counts 15 works and 160 citations for Mina Eskander, an h-index of 5, ranking #5,421,791 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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