Ayça Deniz
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- Machine Learning and ELM
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 8
- Machine Learning and ELM 4
- Evolutionary Algorithms and Applications 3
- Sentiment Analysis and Opinion Mining 3
- Machine Learning and Data Classification 3
- Authorship Attribution and Profiling 2
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- Spam and Phishing Detection 3
- Co-authors
- Hakan Ezgi Kızılöz (11 shared papers)Tansel Dökeroğlu (5 shared papers)Ahmet Coşar (2 shared papers)Pelin Angın (4 shared papers)Tayfun Küçükyılmaz (1 shared paper)Ender Sevinç (1 shared paper)Bharat Bhargava (1 shared paper)Ganapathy Mani (1 shared paper)
- Journals
- Neurocomputing (3 papers)Computers & Industrial Engineering (1 paper)Knowledge-Based Systems (1 paper)Pattern Recognition Letters (1 paper)IEEE Access (1 paper)
- Partner nations
- TürkiyeUnited KingdomUnited States
In The Last Decade
Ayça Deniz
15 papers receiving 420 citations
Ayça Deniz's Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 303
- Computational Theory and Mathematics 78
- Computer Vision and Pattern Recognition 87
- Health Information Management 16
- Modeling and Simulation 8
Countries citing papers authored by Ayça Deniz
This map shows the geographic impact of Ayça Deniz'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 Ayça Deniz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayça Deniz more than expected).
Fields of papers citing papers by Ayça Deniz
This network shows the impact of papers produced by Ayça Deniz. 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 Ayça Deniz. The network helps show where Ayça Deniz may publish in the future.
Co-authors
The 8 scholars most cited alongside Ayça Deniz, 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 | A comprehensive survey on recent metaheuristics for feature selection Hit paper breakdown → | 2022 | 216 |
| 2 | 2018 | 53 | |
| 3 | 2017 | 45 | |
| 4 | 2019 | 33 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 14 | |
| 7 | 2017 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2020 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2022 | 1 |
About Ayça Deniz
Ayça Deniz is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Sociology and Political Science, having authored 15 papers that have together received 436 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Machine Learning and ELM (4 papers), Spam and Phishing Detection (3 papers), Evolutionary Algorithms and Applications (3 papers), Face and Expression Recognition (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Machine Learning and Data Classification (3 papers) and Authorship Attribution and Profiling (2 papers). The work is most often cited by research in Artificial Intelligence (303 citations), Computational Theory and Mathematics (78 citations), Computer Vision and Pattern Recognition (87 citations), Health Information Management (16 citations) and Modeling and Simulation (8 citations). Ayça Deniz has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Hakan Ezgi Kızılöz, Tansel Dökeroğlu, Ahmet Coşar, Pelin Angın, Tayfun Küçükyılmaz, Ender Sevinç, Bharat Bhargava and Ganapathy Mani. Their work appears in journals such as Neurocomputing, Computers & Industrial Engineering, Knowledge-Based Systems, Pattern Recognition Letters and IEEE Access.
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.