Mahmut Kaya

1.0k total citations · 1 hit paper
21 papers, 667 citations indexed

About

Mahmut Kaya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mahmut Kaya has authored 21 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Mahmut Kaya's work include Anomaly Detection Techniques and Applications (4 papers), Gene expression and cancer classification (2 papers) and Machine Learning in Bioinformatics (2 papers). Mahmut Kaya is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Gene expression and cancer classification (2 papers) and Machine Learning in Bioinformatics (2 papers). Mahmut Kaya collaborates with scholars based in Türkiye, China and Saudi Arabia. Mahmut Kaya's co-authors include Hasan Şakir Bılge, Yılmaz Kaya, Anıl Utku, Bekir Sami Yilbaş, Ömer Keleş, Abdul Qader and Oktay Yıldız and has published in prestigious journals such as Applied Sciences, Measurement Science and Technology and Neural Computing and Applications.

In The Last Decade

Mahmut Kaya

21 papers receiving 636 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Metric Learning: A Survey

2019 436 citations Mahmut Kaya, Hasan Şakir Bılge Symmetry profile →

Peers

Mahmut Kaya

CVPR

AI

SP

MT

RNMI

Rahul Chauhan India

Donggyu Joo South Korea

Chirag Patel India

Dulari Bhatt India

Xiangli Yang China

Ningzhong Liu China

Lifang Chen China

S. A. R. Abu–Bakar Malaysia

Ahmed S. Salama Egypt

Zixing Song Hong Kong

Rahul Chauhan India

Mahmut Kaya

189 ×0.7

CVPR

186 ×0.7

AI

36 ×0.6

SP

36 ×0.6

MT

87 ×1.6

RNMI

Citations per year, relative to Mahmut Kaya Mahmut Kaya (= 1×) peers Rahul Chauhan

Countries citing papers authored by Mahmut Kaya

Since Specialization

Citations

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

Fields of papers citing papers by Mahmut Kaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmut Kaya

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Utku, Anıl, et al.. (2025). A New Hybrid ConvViT Model for Dangerous Farm Insect Detection. Applied Sciences. 15(5). 2518–2518. 2 indexed citations

2.

Kaya, Mahmut, et al.. (2024). An Investigation on the Use of Clustering Algorithms for Data Preprocessing in Breast Cancer Diagnosis. Türk doğa ve fen dergisi :. 13(1). 70–77. 1 indexed citations

3.

Kaya, Mahmut, et al.. (2024). A New Performance Metric to Evaluate Filter Feature Selection Methods in Text Classification. JUCS - Journal of Universal Computer Science. 30(7). 978–1005. 2 indexed citations

4.

Kaya, Mahmut, et al.. (2024). A Hybrid CNN-LSTM Model for Predicting Energy Consumption and Production Across Multiple Energy Sources. 5(2). 63–73. 6 indexed citations

5.

Kaya, Mahmut, et al.. (2024). MCMSTStream: applying minimum spanning tree to KD-tree-based micro-clusters to define arbitrary-shaped clusters in streaming data. Neural Computing and Applications. 36(13). 7025–7042. 2 indexed citations

6.

Kaya, Mahmut, et al.. (2024). Detection of the Quality of Zivzik Pomegranate Grown in Siirt Using Deep Learning Methods. 1–6. 1 indexed citations

7.

Kaya, Mahmut, et al.. (2024). EGMA: Ensemble Learning-Based Hybrid Model Approach for Spam Detection. Applied Sciences. 14(21). 9669–9669. 2 indexed citations

8.

Kaya, Mahmut, et al.. (2023). A New Feature Selection Metric Based on Rough Sets and Information Gain in Text Classification. DergiPark (Istanbul University). 10(4). 472–486. 2 indexed citations

9.

Kaya, Mahmut, et al.. (2023). Akan veri kümeleme probleminde ağaç veri yapılarının performans karşılaştırması. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 39(1). 217–232. 4 indexed citations

10.

Kaya, Yılmaz, et al.. (2022). A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM. Measurement Science and Technology. 33(12). 124011–124011. 23 indexed citations

11.

Kaya, Mahmut, et al.. (2022). Effect of Post Processes on Mechanical Properties of 3D Printed Ti6Al4V Gears. Journal of Materials Engineering and Performance. 31(8). 6300–6309. 4 indexed citations

12.

Kaya, Yılmaz, et al.. (2022). A new approach for physical human activity recognition from sensor signals based on motif patterns and long-short term memory. Biomedical Signal Processing and Control. 78. 103963–103963. 21 indexed citations

13.

Kaya, Mahmut, et al.. (2021). Trends in Outbreak Detection in Early Stage by Using Machine Learning Approaches. DergiPark (Istanbul University). 4 indexed citations

14.

Kaya, Mahmut & Hasan Şakir Bılge. (2019). Deep Metric Learning: A Survey. Symmetry. 11(9). 1066–1066. 436 indexed citations breakdown →

15.

Kaya, Mahmut, et al.. (2018). Classification of TrashNet Dataset Based on Deep Learning Models. 2058–2062. 141 indexed citations

16.

Kaya, Mahmut & Hasan Şakir Bılge. (2017). Classification of Parkinson speech data by metric learning. 1–5. 3 indexed citations

17.

Kaya, Mahmut & Hasan Şakir Bılge. (2016). A hybrid feature selection approach based on statistical and wrapper methods. 2101–2104. 3 indexed citations

18.

Kaya, Mahmut, et al.. (2015). Feature weighting with Laplacian score. 39. 280–283. 1 indexed citations

19.

Kaya, Mahmut & Hasan Şakir Bılge. (2014). Classification of pancreas tumor dataset using adaptive weighted k nearest neighbor algorithm. 253–257. 6 indexed citations

20.

Kaya, Mahmut, Hasan Şakir Bılge, & Oktay Yıldız. (2013). Feature selection and dimensionality reduction on gene expressions. 27. 1–4. 1 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.

Explore authors with similar magnitude of impact