Alper Ecemiş
Impact in
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- Energy Load and Power Forecasting
- Electric Power System Optimization
- Smart Grid Energy Management
- Integrated Energy Systems Optimization
Papers in
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- Electric Power System Optimization 1
- Co-authors
- Ahmet Şakir Dokuz (5 shared papers)Murat Gökçek (2 shared papers)Mete Çelik (3 shared papers)Süleyman Savaş DURDURAN (1 shared paper)Ecir Uğur Küçüksille (1 shared paper)
- Journals
- Soft Computing (1 paper)International Journal of Energy Research (1 paper)Energy Conversion and Management (1 paper)Concurrency and Computation Practice and Experience (1 paper)European Journal of Science and Technology (1 paper)
- Partner nations
- TürkiyeKosovoKazakhstan
In The Last Decade
Alper Ecemiş
7 papers receiving 362 citations
Alper Ecemiş's Hit Papers
Peers
Comparison fields: 5 of 50
- Energy Engineering and Power Technology 29
- Electrical and Electronic Engineering 302
- Artificial Intelligence 144
- Aerospace Engineering 95
- Environmental Engineering 45
Countries citing papers authored by Alper Ecemiş
This map shows the geographic impact of Alper Ecemiş'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 Alper Ecemiş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alper Ecemiş more than expected).
Fields of papers citing papers by Alper Ecemiş
This network shows the impact of papers produced by Alper Ecemiş. 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 Alper Ecemiş. The network helps show where Alper Ecemiş may publish in the future.
Co-authors
The 5 scholars most cited alongside Alper Ecemiş, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Wind power forecasting based on daily wind speed data using machine learning algorithms Hit paper breakdown → | 2019 | 333 |
| 2 | 2021 | 14 | |
| 3 | 2022 | 12 | |
| 4 | 2020 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 1 |
About Alper Ecemiş
Alper Ecemiş is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Pollution, Information Systems and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (1 paper), Complex Network Analysis Techniques (1 paper), Electric Power System Optimization (1 paper), Advanced Malware Detection Techniques (1 paper), Energy and Environment Impacts (1 paper), Software Testing and Debugging Techniques (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (29 citations), Electrical and Electronic Engineering (302 citations), Artificial Intelligence (144 citations), Aerospace Engineering (95 citations) and Environmental Engineering (45 citations). Alper Ecemiş has collaborated with scholars based in Türkiye, Kosovo and Kazakhstan. Frequent co-authors include Ahmet Şakir Dokuz, Murat Gökçek, Mete Çelik, Süleyman Savaş DURDURAN and Ecir Uğur Küçüksille. Their work appears in journals such as Soft Computing, International Journal of Energy Research, Energy Conversion and Management, Concurrency and Computation Practice and Experience and European Journal of Science and Technology.
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.