Rüya Şamlı

44 papers receiving 818 citations

Peers

Rüya Şamlı
Comparison fields: 5 of 124
  • Biochemistry 302
  • Food Science 274
  • Filtration and Separation 19
  • Analytical Chemistry 83
  • Complementary and alternative medicine 47
Replace Rohit Upadhyay with:
Rohit Upadhyay India
Huafeng Zhang China
Haotian Deng China
Donghua Jiang China
Rui M. Rocha Portugal
Gauri S. Mittal Canada
Praveen Dhyani India
Antonio d’Acierno Italy
Guangmin Liu China
Fuxin Chen China
Rüya Şamlı relative to Rohit Upadhyay India Rohit Upadhyay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rüya Şamlı

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 18 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.

Border = papers with Rüya Şamlı Line = papers co-authored together Rüya Şamlı links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012344
2 2017188
3 200980
4 202027
5 201918
6 201518
7 202216
8 201716
9 201515
10
Applying Artificial Neural Networks for the Estimation of Chlorophyll-a Concentrations along the Istanbul Coast
201412
11 201912
12 201812
13 202010
14 20208
15 20217
16 20226
17 20205
18 20204
19 20204
20 20244

About Rüya Şamlı

Rüya Şamlı is a scholar working on Biochemistry, Artificial Intelligence, Computer Networks and Communications, Software and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 846 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (6 papers), Phytochemicals and Antioxidant Activities (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Software Engineering Research (5 papers), Edible Oils Quality and Analysis (4 papers), Digital Media Forensic Detection (4 papers), Software Reliability and Analysis Research (4 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Biochemistry (302 citations), Food Science (274 citations), Filtration and Separation (19 citations), Analytical Chemistry (83 citations) and Complementary and alternative medicine (47 citations). Rüya Şamlı has collaborated with scholars based in Türkiye, France and Italy. Frequent co-authors include Selin Şahin, Sabri Arik, Farid Chemat, Giancarlo Cravotto, Francisco Jose Barba, Ayşe Seher Birteksöz Tan, Jose Manuel Lorenzo Rodriguez, Selçuk Sevgen, Zeynep Orman and Sibel Senan. Their work appears in journals such as Neural Networks, Engineering Science and Technology an International Journal, Molecules, Computer Communications and Discrete and Continuous Dynamical Systems - S.

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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