Alp Kut

1.7k total citations · 1 hit paper
35 papers, 1.2k citations indexed

About

Alp Kut is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alp Kut has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alp Kut's work include Data Mining Algorithms and Applications (6 papers), Face and Expression Recognition (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Alp Kut is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Face and Expression Recognition (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Alp Kut collaborates with scholars based in Türkiye and North Macedonia. Alp Kut's co-authors include Derya Birant, Alican Doğan, Pelin Yıldırım Taşer, Ayşegül Pala and Zerrin Işık and has published in prestigious journals such as Expert Systems with Applications, Sensors and Applied Sciences.

In The Last Decade

Alp Kut

27 papers receiving 1.1k citations

Hit Papers

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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alp Kut Türkiye 8 419 355 258 170 138 35 1.2k
Ickjai Lee Australia 22 556 1.3× 436 1.2× 325 1.3× 269 1.6× 345 2.5× 111 1.7k
Ibai Gurrutxaga Spain 12 614 1.5× 202 0.6× 69 0.3× 164 1.0× 162 1.2× 31 1.3k
Matthias Schubert Germany 19 835 2.0× 394 1.1× 124 0.5× 444 2.6× 214 1.6× 106 2.3k
Yao‐Yi Chiang United States 22 251 0.6× 245 0.7× 116 0.4× 441 2.6× 198 1.4× 85 1.7k
Bettina Speckmann Netherlands 23 166 0.4× 610 1.7× 193 0.7× 777 4.6× 78 0.6× 139 1.7k
Shanshan Feng China 20 722 1.7× 156 0.4× 374 1.4× 369 2.2× 538 3.9× 100 1.7k
Maria Luisa Damiani Italy 17 805 1.9× 675 1.9× 538 2.1× 139 0.8× 259 1.9× 70 1.8k
Wanggen Wan China 17 218 0.5× 109 0.3× 169 0.7× 423 2.5× 60 0.4× 174 1.0k
Nikos Pelekis Greece 23 785 1.9× 1.2k 3.5× 608 2.4× 305 1.8× 237 1.7× 80 2.2k
Iñigo Perona Spain 7 501 1.2× 179 0.5× 33 0.1× 152 0.9× 125 0.9× 14 1.0k

Countries citing papers authored by Alp Kut

Since Specialization
Citations

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

Fields of papers citing papers by Alp Kut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alp Kut

This figure shows the co-authorship network connecting the top 25 collaborators of Alp Kut. A scholar is included among the top collaborators of Alp Kut 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 Alp Kut. Alp Kut 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
2.
Birant, Derya, et al.. (2024). A Novel Hybrid Model (EMD-TI-LSTM) for Enhanced Financial Forecasting with Machine Learning. Mathematics. 12(17). 2794–2794. 3 indexed citations
3.
Kut, Alp, et al.. (2024). Machine Learning Model Development to Predict Power Outage Duration (POD): A Case Study for Electric Utilities. Sensors. 24(13). 4313–4313. 5 indexed citations
4.
Birant, Derya, et al.. (2023). Logistic Model Tree Forest for Steel Plates Faults Prediction. Machines. 11(7). 679–679. 4 indexed citations
5.
Kut, Alp, et al.. (2022). Hiding Sensitive Itemsets Using Sibling Itemset Constraints. Symmetry. 14(7). 1453–1453. 1 indexed citations
6.
Kut, Alp, et al.. (2022). A Novel Stream Mining Approach as Stream-Cluster Feature Tree Algorithm: A Case Study in Turkish Job Postings. Applied Sciences. 12(15). 7893–7893. 1 indexed citations
7.
Kut, Alp, et al.. (2022). Prediction of Cloth Waste Using Machine Learning Methods in the Textile Industry. 165–169. 5 indexed citations
8.
Kut, Alp, et al.. (2020). Discovering the same job ads expressed with the different sentences by using hybrid clustering algorithms. International Journal of Applied Mathematics Electronics and Computers. 8(3). 76–84.
10.
Doğan, Alican, Derya Birant, & Alp Kut. (2019). Multi-Target Regression for Quality Prediction in a Mining Process. 639–644. 10 indexed citations
11.
Taşer, Pelin Yıldırım, et al.. (2018). Comparative analysis of ensemble learning methods for signal classification. 1–4. 10 indexed citations
12.
13.
Kut, Alp, et al.. (2014). Decision Support System For A Customer Relationship Management Case Study. International Journal of Informatics and Communication Technology (IJ-ICT). 3(2). 88–88.
14.
Kut, Alp, et al.. (2011). Optimizing the equation for a dataset with corresponding attributes by hybrid genetic algorithm. Information Technology Interfaces. 459–464. 2 indexed citations
15.
Birant, Derya, et al.. (2011). A new approach for weighted clustering using decision tree. 54–58. 1 indexed citations
16.
Birant, Derya, et al.. (2010). An incremental genetic algorithm for classification and sensitivity analysis of its parameters. Expert Systems with Applications. 38(3). 2609–2620. 18 indexed citations
17.
Birant, Derya & Alp Kut. (2006). Spatio-Temporal Outlier Detection in Large Databases. Journal of Computing and Information Technology. 14(4). 291–291. 71 indexed citations
18.
Birant, Derya & Alp Kut. (2006). An algorithm to discover spatial–temporal distributions of physical seawater characteristics and a case study in Turkish seas. Journal of Marine Science and Technology. 11(3). 183–192. 4 indexed citations
19.
Birant, Derya & Alp Kut. (2006). Spatio-temporal outlier detection in large databases. 7. 179–184. 22 indexed citations
20.
Kut, Alp, et al.. (1973). Determination of trace elements in air pollution by activation analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 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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