Derya Birant

3.7k total citations · 2 hit papers
90 papers, 2.3k citations indexed

About

Derya Birant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Derya Birant has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 16 papers in Information Systems. Recurrent topics in Derya Birant's work include Machine Learning and Data Classification (11 papers), Industrial Vision Systems and Defect Detection (11 papers) and Imbalanced Data Classification Techniques (10 papers). Derya Birant is often cited by papers focused on Machine Learning and Data Classification (11 papers), Industrial Vision Systems and Defect Detection (11 papers) and Imbalanced Data Classification Techniques (10 papers). Derya Birant collaborates with scholars based in Türkiye, North Macedonia and United States. Derya Birant's co-authors include Alp Kut, Alican Doğan, Pelin Yıldırım Taşer, Tuba Alpyıldız, Elem Güzel Kalaycı, Zerrin Işık and Ayşegül Pala and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Derya Birant

85 papers receiving 2.2k citations

Hit Papers

ST-DBSCAN: An algorithm for clustering spatial–temporal data 2006 2026 2012 2019 2006 2020 250 500 750
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.

  1. ST-DBSCAN: An algorithm for clustering spatial–temporal data
    2006 958 citations Derya Birant, Alp Kut profile →
  2. Machine learning and data mining in manufacturing
    2020 429 citations Alican Doğan, Derya Birant profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Derya Birant Türkiye 19 777 424 297 295 279 90 2.3k
Xiuju Fu Singapore 23 615 0.8× 134 0.3× 254 0.9× 143 0.5× 285 1.0× 101 2.5k
Beatrice Lazzerini Italy 28 1.4k 1.7× 137 0.3× 270 0.9× 236 0.8× 140 0.5× 183 3.0k
Rung-Ching Chen Taiwan 30 857 1.1× 168 0.4× 979 3.3× 311 1.1× 238 0.9× 187 3.4k
Jianguo Chen China 31 832 1.1× 165 0.4× 586 2.0× 443 1.5× 168 0.6× 226 3.5k
Zheng Xu China 29 1.2k 1.5× 244 0.6× 582 2.0× 794 2.7× 157 0.6× 158 3.0k
Paolo Nesi Italy 27 610 0.8× 305 0.7× 700 2.4× 833 2.8× 342 1.2× 240 3.3k
Thomas A. Runkler Germany 24 1.4k 1.8× 268 0.6× 418 1.4× 273 0.9× 45 0.2× 132 2.6k
Matthias Schubert Germany 19 835 1.1× 394 0.9× 444 1.5× 214 0.7× 124 0.4× 106 2.3k
Pierfrancesco Bellini Italy 21 307 0.4× 193 0.5× 348 1.2× 385 1.3× 220 0.8× 122 1.9k

Countries citing papers authored by Derya Birant

Since Specialization
Citations

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

Fields of papers citing papers by Derya Birant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derya Birant

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

All Works

20 of 20 papers shown
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Birant, Derya, et al.. (2024). A Novel Classification Method: Neighborhood-Based Positive Unlabeled Learning Using Decision Tree (NPULUD). Entropy. 26(5). 403–403. 1 indexed citations
4.
Birant, Derya, et al.. (2024). A New Predictive Method for Classification Tasks in Machine Learning: Multi-Class Multi-Label Logistic Model Tree (MMLMT). Mathematics. 12(18). 2825–2825. 5 indexed citations
5.
Birant, Derya, et al.. (2023). Potato Plant Leaf Disease Detection Using Deep Learning Method. Tarım Bilimleri Dergisi. 13 indexed citations
6.
Birant, Derya, et al.. (2023). Stepwise dynamic nearest neighbor (SDNN): a new algorithm for classification. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 31(5). 751–770. 1 indexed citations
7.
Birant, Derya, et al.. (2023). Partial Decision Tree Forest: A Machine Learning Model for the Geosciences. Minerals. 13(6). 800–800. 9 indexed citations
8.
Birant, Derya, et al.. (2023). GASEL: Genetic algorithm-supported ensemble learning for fault detection in autonomous underwater vehicles. Ocean Engineering. 272. 113844–113844. 18 indexed citations
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Birant, Derya, et al.. (2023). Logistic Model Tree Forest for Steel Plates Faults Prediction. Machines. 11(7). 679–679. 4 indexed citations
11.
Birant, Derya, et al.. (2023). Rainfall Prediction Using an Ensemble Machine Learning Model Based on K-Stars. Sustainability. 15(7). 5889–5889. 10 indexed citations
12.
Birant, Derya, et al.. (2022). Improving the Performance and Explainability of Indoor Human Activity Recognition in the Internet of Things Environment. Symmetry. 14(10). 2022–2022. 11 indexed citations
13.
Birant, Derya, et al.. (2022). Estimating Types of Faults on Plastic Injection Molding Machines from Sensor Data for Predictive Maintenance. DergiPark (Istanbul University). 3 indexed citations
14.
Birant, Derya, et al.. (2022). A K-Shot Learning Algorithm for Transportation Mode Identification. DergiPark (Istanbul University). 1 indexed citations
15.
Birant, Derya, et al.. (2022). Prediction of Remaining Useful Life for Plastic Injection Molding Machines Using Artificial Intelligence Methods. DergiPark (Istanbul University). 3 indexed citations
16.
Birant, Derya, et al.. (2020). Passenger scoring for free-pass promotion in public transportation. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28(4). 2110–2127. 1 indexed citations
17.
Doğan, Alican, Derya Birant, & Alp Kut. (2019). Multi-Target Regression for Quality Prediction in a Mining Process. 639–644. 10 indexed citations
18.
Birant, Derya, et al.. (2018). Server-Based Intelligent Public Transportation System with NFC. IEEE Intelligent Transportation Systems Magazine. 10(1). 30–46. 24 indexed citations
19.
Taşer, Pelin Yıldırım, et al.. (2017). Development of an interactive game-based learning environment to teach data mining. International journal of engineering education. 33(5). 1598–1617. 7 indexed citations
20.
Birant, Derya, et al.. (2011). A new approach for weighted clustering using decision tree. 54–58. 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.

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