Cenk Şahin
- Industrial and Manufacturing Engineering top 2%
- Management Science and Operations Research top 5%
- Strategy and Management top 10%
- Artificial Intelligence top 10%
- Polymers and Plastics
- Co-authors
- Adil BaykasoğluVahit KaplanoğluRızvan ErolZeynep Didem Unutmaz DurmuşoğluS. Noyan OğulataYusuf KuvvetliHacer BozdemirKezban Aslan
- Topics
- Textile materials and evaluations (7 papers)Neural Networks and Applications (4 papers)EEG and Brain-Computer Interfaces (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Science and Operations ResearchStrategy and Management
- Partner nations
- TürkiyeUnited States
In The Last Decade
Cenk Şahin
27 papers receiving 672 citations
Peers
Comparison fields: 5 of 104
- Industrial and Manufacturing Engineering 245
- Management Science and Operations Research 133
- Strategy and Management 98
- Artificial Intelligence 93
- Polymers and Plastics 73
Countries citing papers authored by Cenk Şahin
This map shows the geographic impact of Cenk Şahin'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 Cenk Şahin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cenk Şahin more than expected).
Fields of papers citing papers by Cenk Şahin
This network shows the impact of papers produced by Cenk Şahin. 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 Cenk Şahin. The network helps show where Cenk Şahin may publish in the future.
Co-authorship network of co-authors of Cenk Şahin
This figure shows the co-authorship network connecting the top 25 collaborators of Cenk Şahin. A scholar is included among the top collaborators of Cenk Şahin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cenk Şahin. Cenk Şahin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | Predicting the intermingled yarn number of nips and nips stability with neural network models | 2 |
| 12 | 56 | |
| 13 | 228 | |
| 14 | 12 | |
| 15 | 26 | |
| 16 | 47 | |
| 17 | 26 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | The Prediction of Elongation and Recovery of Woven Bi-Stretch Fabric Using Artificial Neural Network and Linear Regression Models | 21 |
About Cenk Şahin
Cenk Şahin is a scholar working on Industrial and Manufacturing Engineering, Polymers and Plastics and Transportation, having authored 30 papers that have together received 713 indexed citations. Recurring topics across this work include Textile materials and evaluations (7 papers), Neural Networks and Applications (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (245 citations), Management Science and Operations Research (133 citations) and Strategy and Management (98 citations). Cenk Şahin has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Adil Baykasoğlu, Vahit Kaplanoğlu, Rızvan Erol, Zeynep Didem Unutmaz Durmuşoğlu, S. Noyan Oğulata, Yusuf Kuvvetli, Hacer Bozdemir, Kezban Aslan, R. Tuğrul Ogulata and Z. Nazan Alparslan. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Applied Mathematical Modelling.
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.