Süleyman S. Kozat

3.1k total citations · 1 hit paper
140 papers, 2.0k citations indexed

About

Süleyman S. Kozat is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Süleyman S. Kozat has authored 140 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 42 papers in Signal Processing and 41 papers in Computational Mechanics. Recurrent topics in Süleyman S. Kozat's work include Advanced Adaptive Filtering Techniques (35 papers), Blind Source Separation Techniques (29 papers) and Advanced Bandit Algorithms Research (28 papers). Süleyman S. Kozat is often cited by papers focused on Advanced Adaptive Filtering Techniques (35 papers), Blind Source Separation Techniques (29 papers) and Advanced Bandit Algorithms Research (28 papers). Süleyman S. Kozat collaborates with scholars based in Türkiye, United States and Switzerland. Süleyman S. Kozat's co-authors include Tolga Ergen, Andrew C. Singer, Muhammed O. Sayin, N. Denizcan Vanli, Jill Nelson, M.K. Mihcak, Ramarathnam Venkatesan, Hüseyin Özkan, Alper T. Erdoğan and Ali H. Sayed and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Süleyman S. Kozat

131 papers receiving 1.9k citations

Hit Papers

Unsupervised Anomaly Detection With LSTM Neural Networks 2019 2026 2021 2023 2019 50 100 150 200
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. Unsupervised Anomaly Detection With LSTM Neural Networks
    2019 240 citations Süleyman S. Kozat et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Süleyman S. Kozat Türkiye 21 696 492 442 437 423 140 2.0k
Wynn C. Stirling United States 16 415 0.6× 270 0.5× 418 0.9× 483 1.1× 153 0.4× 68 1.8k
Yao Xie United States 20 295 0.4× 416 0.8× 203 0.5× 497 1.1× 215 0.5× 136 2.3k
Qilian Liang United States 30 626 0.9× 232 0.5× 1.4k 3.1× 1.7k 3.8× 302 0.7× 236 3.3k
Robert Piché Finland 27 807 1.2× 460 0.9× 588 1.3× 1.7k 4.0× 122 0.3× 137 3.0k
Feng Yin China 25 703 1.0× 167 0.3× 432 1.0× 898 2.1× 131 0.3× 173 2.0k
Puneet Agarwal United States 14 644 0.9× 326 0.7× 322 0.7× 106 0.2× 114 0.3× 85 1.5k
Yoan Shin South Korea 23 459 0.7× 147 0.3× 626 1.4× 1.7k 3.8× 120 0.3× 190 2.4k
Weifeng Liu China 15 844 1.2× 1.1k 2.2× 183 0.4× 297 0.7× 1.1k 2.7× 118 2.4k
M. N. S. Swamy Canada 23 622 0.9× 360 0.7× 245 0.6× 542 1.2× 239 0.6× 160 2.2k
D. Hush United States 11 664 1.0× 312 0.6× 118 0.3× 377 0.9× 224 0.5× 42 1.8k

Countries citing papers authored by Süleyman S. Kozat

Since Specialization
Citations

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

Fields of papers citing papers by Süleyman S. Kozat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Süleyman S. Kozat. 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 Süleyman S. Kozat. The network helps show where Süleyman S. Kozat may publish in the future.

Co-authorship network of co-authors of Süleyman S. Kozat

This figure shows the co-authorship network connecting the top 25 collaborators of Süleyman S. Kozat. A scholar is included among the top collaborators of Süleyman S. Kozat 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 Süleyman S. Kozat. Süleyman S. Kozat 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
1.
Kozat, Süleyman S., et al.. (2025). An end-to-end optimized feature specific data imputation for recurrent neural networks under missing data. Digital Signal Processing. 166. 105349–105349. 1 indexed citations
2.
Koc, Ali T., et al.. (2024). Optimal stochastic gradient descent algorithm for filtering. Digital Signal Processing. 155. 104731–104731. 2 indexed citations
3.
Kozat, Süleyman S., et al.. (2024). Actor Prioritized Experience Replay (Abstract Reprint). Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22710–22710. 1 indexed citations
4.
Kozat, Süleyman S., et al.. (2024). Binary feature mask optimization for feature selection. Neural Computing and Applications. 37(6). 5155–5167. 2 indexed citations
5.
Dalmaz, Onat, et al.. (2023). User Feedback-based Online Learning for Intent Classification. 613–621. 2 indexed citations
6.
7.
Kozat, Süleyman S., et al.. (2019). LSTM-based Online Learning: An Efficient EKF Based Algorithm with a Convergence Guarantee. arXiv (Cornell University). 1 indexed citations
8.
Kozat, Süleyman S., et al.. (2019). Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays. IEEE Transactions on Signal Processing. 67(16). 4383–4398. 6 indexed citations
9.
Kozat, Süleyman S., et al.. (2019). Stability of the Decoupled Extended Kalman Filter in the LSTM-Based Online Learning. arXiv (Cornell University). 1 indexed citations
10.
Kozat, Süleyman S., et al.. (2018). Sequential Outlier Detection Based on Incremental Decision Trees. IEEE Transactions on Signal Processing. 67(4). 993–1005. 13 indexed citations
11.
Kozat, Süleyman S., et al.. (2018). An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem. IEEE Transactions on Neural Networks and Learning Systems. 29(11). 5565–5580. 9 indexed citations
12.
Kozat, Süleyman S., et al.. (2018). Nonuniformly Sampled Data Processing Using LSTM Networks. IEEE Transactions on Neural Networks and Learning Systems. 30(5). 1452–1461. 37 indexed citations
13.
Özkan, Hüseyin, et al.. (2018). Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. IEEE Transactions on Neural Networks and Learning Systems. 30(3). 923–937. 4 indexed citations
14.
Kozat, Süleyman S., et al.. (2017). Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments. IEEE Transactions on Signal Processing. 66(5). 1213–1227. 12 indexed citations
15.
Kozat, Süleyman S., et al.. (2017). Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4473–4478. 1 indexed citations
16.
Vanli, N. Denizcan & Süleyman S. Kozat. (2013). A Comprehensive Approach to Universal Nonlinear Regression Based on Trees.. arXiv (Cornell University). 1 indexed citations
17.
Özkan, Hüseyin, et al.. (2012). Transient analysis of convexly constrained mixture methods. 1. 1–5.
18.
Biçici, Ergun & Süleyman S. Kozat. (2010). Adaptive Model Weighting and Transductive Regression for Predicting Best System Combinations. Workshop on Statistical Machine Translation. 276–281. 3 indexed citations
19.
Kozat, Süleyman S. & Andrew C. Singer. (2009). Switching Strategies for Sequential Decision Problems With Multiplicative Loss With Application to Portfolios. IEEE Transactions on Signal Processing. 57(6). 2192–2208. 18 indexed citations
20.
Kozat, Süleyman S. & Andrew C. Singer. (2002). On universal linear prediction of Gaussian data. 1. 13–16. 2 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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