Mutlu Avcı
Impact in
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
- Neural Networks and Applications
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
Papers in
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- Neural Networks and Applications 7
- Machine Learning and ELM 5
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- Low-power high-performance VLSI design 5
- Advancements in Semiconductor Devices and Circuit Design 5
- Co-authors
- Mehmet Sarıgül (9 shared papers)Olcayto Keskinkan (1 shared paper)Tülay Yıldırım (5 shared papers)Çiğdem İnan Acı (2 shared papers)Mustafa Güven (1 shared paper)
In The Last Decade
Mutlu Avcı
42 papers receiving 774 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 308
- Renewable Energy, Sustainability and the Environment 90
- Water Science and Technology 75
- Analytical Chemistry 46
- Computer Vision and Pattern Recognition 96
Countries citing papers authored by Mutlu Avcı
This map shows the geographic impact of Mutlu Avcı'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 Mutlu Avcı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mutlu Avcı more than expected).
Fields of papers citing papers by Mutlu Avcı
This network shows the impact of papers produced by Mutlu Avcı. 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 Mutlu Avcı. The network helps show where Mutlu Avcı may publish in the future.
Co-authors
The 5 scholars most cited alongside Mutlu Avcı, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2018 | 143 | |
| 3 | 2010 | 76 | |
| 4 | 2012 | 60 | |
| 5 | 2009 | 59 | |
| 6 | 2016 | 30 | |
| 7 | 2011 | 22 | |
| 8 | 2009 | 20 | |
| 9 | 2024 | 20 | |
| 10 | 2014 | 19 | |
| 11 | 2015 | 17 | |
| 12 | 2017 | 12 | |
| 13 | 2005 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2009 | 11 | |
| 16 | 2016 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2006 | 9 | |
| 20 | 2003 | 9 |
About Mutlu Avcı
Mutlu Avcı is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Materials Chemistry, having authored 43 papers that have together received 803 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Carbon Nanotubes in Composites (6 papers), Graphene research and applications (6 papers), Face and Expression Recognition (5 papers), Low-power high-performance VLSI design (5 papers), Machine Learning and ELM (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Artificial Intelligence (308 citations), Renewable Energy, Sustainability and the Environment (90 citations), Water Science and Technology (75 citations), Analytical Chemistry (46 citations) and Computer Vision and Pattern Recognition (96 citations). Mutlu Avcı has collaborated with scholars based in Türkiye, Germany and Uganda. Frequent co-authors include Mehmet Sarıgül, Olcayto Keskinkan, Tülay Yıldırım, Çiğdem İnan Acı and Mustafa Güven. Their work appears in journals such as Neural Networks, Expert Systems with Applications, Mathematical and Computer Modelling, Instrumentation Science & Technology and Energy.
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.