Gözde Ulutagay

466 total citations
27 papers, 313 citations indexed

About

Gözde Ulutagay is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Gözde Ulutagay has authored 27 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Management Science and Operations Research. Recurrent topics in Gözde Ulutagay's work include Advanced Clustering Algorithms Research (9 papers), Face and Expression Recognition (7 papers) and Fuzzy Logic and Control Systems (5 papers). Gözde Ulutagay is often cited by papers focused on Advanced Clustering Algorithms Research (9 papers), Face and Expression Recognition (7 papers) and Fuzzy Logic and Control Systems (5 papers). Gözde Ulutagay collaborates with scholars based in Türkiye, China and Malaysia. Gözde Ulutagay's co-authors include Efendi Nasıbov, Mariela Cerrada, Fannia Pacheco, Diego Cabrera, René–Vinicio Sánchez, José Valente de Oliveira, Chuan Li, Fatih Ecer, Yousif Al Mashhadany and Sameer Algburi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Fuzzy Sets and Systems.

In The Last Decade

Gözde Ulutagay

25 papers receiving 301 citations

Peers

Gözde Ulutagay

CVPR

CSE

Antonio Galli Italy

Ho-Sung Park South Korea

Abhishek Sharma India

Xiu Kan China

Yifan Li China

Nicholas Ampazis Greece

Tirtharaj Dash India

Emilio Corchado Spain

Amrit Pal Singh India

Qi Lei China

Antonio Galli Italy

Gözde Ulutagay

139 ×1.0

22 ×0.3

CVPR

71 ×1.1

CSE

58 ×1.0

29 ×0.7

Citations per year, relative to Gözde Ulutagay Gözde Ulutagay (= 1×) peers Antonio Galli

Countries citing papers authored by Gözde Ulutagay

Since Specialization

Citations

This map shows the geographic impact of Gözde Ulutagay'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 Gözde Ulutagay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gözde Ulutagay more than expected).

Fields of papers citing papers by Gözde Ulutagay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gözde Ulutagay. 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 Gözde Ulutagay. The network helps show where Gözde Ulutagay may publish in the future.

Co-authorship network of co-authors of Gözde Ulutagay

This figure shows the co-authorship network connecting the top 25 collaborators of Gözde Ulutagay. A scholar is included among the top collaborators of Gözde Ulutagay 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 Gözde Ulutagay. Gözde Ulutagay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Zhe, et al.. (2025). Robust vector-weighted and matrix-weighted multi-view hard c-means clustering. Intelligent Systems with Applications. 25. 200470–200470.

Liu, Zhe, et al.. (2024). Correction: Novel distance measures on complex picture fuzzy environment: applications in pattern recognition, medical diagnosis and clustering. Journal of Applied Mathematics and Computing. 71(2). 2983–2983.

Liu, Zhe, et al.. (2024). Novel distance measures on complex picture fuzzy environment: applications in pattern recognition, medical diagnosis and clustering. Journal of Applied Mathematics and Computing. 71(2). 1743–1775. 1 indexed citations

Liu, Zhe, et al.. (2024). Novel α-divergence measures on picture fuzzy sets and interval-valued picture fuzzy sets with diverse applications. Engineering Applications of Artificial Intelligence. 136. 109041–109041. 8 indexed citations

Mashhadany, Yousif Al, et al.. (2021). Modeling and analysis: power injection model approach for high performance of electrical distribution networks. Bulletin of Electrical Engineering and Informatics. 10(6). 2943–2952. 13 indexed citations

Ulutagay, Gözde, et al.. (2019). On parameter adjustment of the fuzzy neighborhood-based clustering algorithms. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27(3). 2093–2105. 1 indexed citations

Ulutagay, Gözde, et al.. (2016). Challenges and possible solutions to density based clustering. 492–498. 2 indexed citations

Ulutagay, Gözde, Ronald R. Yager, Bernard De Baets, & Tofigh Allahviranloo. (2016). Forefront of Fuzzy Logic in Data Mining: Theory, Algorithms, and Applications. Advances in Fuzzy Systems. 2016. 1–2. 1 indexed citations

Ulutagay, Gözde, Fatih Ecer, & Efendi Nasıbov. (2014). Performance evaluation of industrial enterprises via fuzzy inference system approach: a case study. Soft Computing. 19(2). 449–458. 10 indexed citations

10.

Ulutagay, Gözde, et al.. (2014). Classification with fuzzy OWA distance. 51. 195–198. 1 indexed citations

11.

Ulutagay, Gözde & Efendi Nasıbov. (2013). ON FUZZY NEIGHBORHOOD BASED CLUSTERING ALGORITHM WITH LOW COMPLEXITY. Iranian journal of fuzzy systems. 10(3). 1–20. 5 indexed citations

12.

Allahviranloo, Tofigh, Ronald R. Yager, S. Abbasbandy, & Gözde Ulutagay. (2013). Ranking Fuzzy Numbers and Its Extensions. Mathematical Problems in Engineering. 2013. 1–1. 1 indexed citations

13.

Ulutagay, Gözde & Efendi Nasıbov. (2012). OWA aggregation based CxK-nearest neighbor classification algorithm. 219–224. 2 indexed citations

14.

Ulutagay, Gözde & Efendi Nasıbov. (2012). Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review. Journal of Intelligent & Fuzzy Systems. 23(6). 271–281. 23 indexed citations

15.

Ulutagay, Gözde & Владик Крейнович. (2011). Density-Based Fuzzy Clustering as a First Step to Learning the Rules: Challenges and Possible Solutions. scholarworks - UTEP (The University of Texas at El Paso). 2 indexed citations

16.

Nasıbov, Efendi, et al.. (2010). On the analysis of BIS stage epochs via fuzzy clustering. Biomedizinische Technik/Biomedical Engineering. 55(3). 147–153. 5 indexed citations

17.

Nasıbov, Efendi & Gözde Ulutagay. (2009). Robustness of density-based clustering methods with various neighborhood relations. Fuzzy Sets and Systems. 160(24). 3601–3615. 64 indexed citations

18.

Nasıbov, Efendi & Gözde Ulutagay. (2009). Comparative clustering analysis of bispectral index series of brain activity. Expert Systems with Applications. 37(3). 2495–2504. 9 indexed citations

19.

Nasıbov, Efendi & Gözde Ulutagay. (2007). On Cluster Analysis Based on Fuzzy Relations Between Spatial Data.. European Society for Fuzzy Logic and Technology Conference. 59–62. 2 indexed citations

20.

Nasıbov, Efendi & Gözde Ulutagay. (2007). A new unsupervised approach for fuzzy clustering. Fuzzy Sets and Systems. 158(19). 2118–2133. 47 indexed citations

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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