Rüya Şamlı
Impact in
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
- Food Science top 5%
- Essential Oils and Antimicrobial Activity
Papers in
-
- Neural Networks Stability and Synchronization 6
- Co-authors
- Selin Şahin (8 shared papers)Sabri Arik (3 shared papers)Francisco J. Barba (1 shared paper)Giancarlo Cravotto (1 shared paper)José M. Lorenzo (1 shared paper)A. Seher Birteksöz Tan (1 shared paper)Farid Chemat (1 shared paper)Selçuk Sevgen (8 shared papers)
In The Last Decade
Rüya Şamlı
39 papers receiving 742 citations
Peers
Comparison fields: 5 of 119
- Biochemistry 290
- Food Science 248
- Filtration and Separation 17
- Analytical Chemistry 74
- Computer Networks and Communications 138
Countries citing papers authored by Rüya Şamlı
This map shows the geographic impact of Rüya Şamlı'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 Rüya Şamlı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rüya Şamlı more than expected).
Fields of papers citing papers by Rüya Şamlı
This network shows the impact of papers produced by Rüya Şamlı. 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 Rüya Şamlı. The network helps show where Rüya Şamlı may publish in the future.
Co-authors
The 17 scholars most cited alongside Rüya Şamlı, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 319 | |
| 2 | 2017 | 154 | |
| 3 | 2009 | 79 | |
| 4 | 2020 | 26 | |
| 5 | 2019 | 17 | |
| 6 | 2015 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2015 | 14 | |
| 10 | Applying Artificial Neural Networks for the Estimation of Chlorophyll-a Concentrations along the Istanbul Coast | 2014 | 12 |
| 11 | 2018 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2020 | 4 |
About Rüya Şamlı
Rüya Şamlı is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Biochemistry and Electrical and Electronic Engineering, having authored 45 papers that have together received 764 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (7 papers), Neural Networks Stability and Synchronization (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Edible Oils Quality and Analysis (4 papers), Digital Media Forensic Detection (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Digital Marketing and Social Media (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Biochemistry (290 citations), Food Science (248 citations), Filtration and Separation (17 citations), Analytical Chemistry (74 citations) and Computer Networks and Communications (138 citations). Rüya Şamlı has collaborated with scholars based in Türkiye, Italy and Spain. Frequent co-authors include Selin Şahin, Sabri Arik, Francisco J. Barba, Giancarlo Cravotto, José M. Lorenzo, A. Seher Birteksöz Tan, Farid Chemat, Selçuk Sevgen, Zeynep Orman and Sibel Senan. Their work appears in journals such as Neural Networks, Applied Mathematics and Computation, Neurocomputing, Computer Communications and Computers, materials & continua/Computers, materials & continua (Print).
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.