Tülay Adalı

1.4k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Tülay Adalı is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Tülay Adalı has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 5 papers in Cognitive Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Tülay Adalı's work include Blind Source Separation Techniques (6 papers), Functional Brain Connectivity Studies (4 papers) and Neural dynamics and brain function (3 papers). Tülay Adalı is often cited by papers focused on Blind Source Separation Techniques (6 papers), Functional Brain Connectivity Studies (4 papers) and Neural dynamics and brain function (3 papers). Tülay Adalı collaborates with scholars based in United States, Poland and France. Tülay Adalı's co-authors include Vince D. Calhoun, Yi‐Ou Li, Nicolle Correa, Shengli Xie, Qibin Zhao, Guoxu Zhou, Yu Zhang, Andrzej Cichocki, Geng-Shen Fu and Matthew Anderson and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and Human Brain Mapping.

In The Last Decade

Tülay Adalı

8 papers receiving 1.1k citations

Hit Papers

Estimating the number of independent components for funct... 2007 2026 2013 2019 2007 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
Tülay Adalı United States 7 820 296 272 97 77 8 1.1k
Eduardo Martínez‐Montes Cuba 17 1.2k 1.4× 448 1.5× 268 1.0× 83 0.9× 113 1.5× 49 1.6k
Nicolle Correa United States 11 628 0.8× 256 0.9× 356 1.3× 40 0.4× 52 0.7× 22 945
José M. Sánchez‐Bornot United Kingdom 13 754 0.9× 381 1.3× 119 0.4× 78 0.8× 44 0.6× 32 1.0k
Yi‐Ou Li United States 15 1.2k 1.5× 585 2.0× 521 1.9× 145 1.5× 123 1.6× 22 1.9k
Anneleen Vergult Belgium 7 769 0.9× 102 0.3× 381 1.4× 51 0.5× 57 0.7× 13 972
Borbála Hunyadi Belgium 17 717 0.9× 116 0.4× 202 0.7× 260 2.7× 50 0.6× 60 1.1k
Fumikazu Miwakeichi Japan 12 485 0.6× 142 0.5× 204 0.8× 22 0.2× 29 0.4× 45 799
Lutz Leistritz Germany 20 732 0.9× 243 0.8× 106 0.4× 65 0.7× 50 0.6× 85 1.2k
Hiroaki Mizuhara Japan 12 646 0.8× 61 0.2× 143 0.5× 49 0.5× 61 0.8× 40 942
Gholam‐Ali Hossein‐Zadeh Iran 17 626 0.8× 179 0.6× 63 0.2× 51 0.5× 59 0.8× 89 812

Countries citing papers authored by Tülay Adalı

Since Specialization
Citations

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

Fields of papers citing papers by Tülay Adalı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tülay Adalı

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

All Works

8 of 8 papers shown
1.
Zhou, Guoxu, Qibin Zhao, Yu Zhang, et al.. (2016). Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data. Proceedings of the IEEE. 104(2). 310–331. 138 indexed citations
2.
Boukouvalas, Zois, Salem Said, Lionel Bombrun, Yannick Berthoumieu, & Tülay Adalı. (2015). A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation. IEEE Signal Processing Letters. 22(12). 2314–2318. 10 indexed citations
3.
Fu, Geng-Shen, Matthew Anderson, & Tülay Adalı. (2014). Likelihood Estimators for Dependent Samples and Their Application to Order Detection. IEEE Transactions on Signal Processing. 62(16). 4237–4244. 29 indexed citations
5.
Anderson, Matthew, et al.. (2014). General Non-Orthogonal Constrained ICA. IEEE Transactions on Signal Processing. 62(11). 2778–2786. 14 indexed citations
6.
Xu, Lai, Jingyu Liu, Tülay Adalı, & Vince D. Calhoun. (2008). Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 533–536. 5 indexed citations
7.
Correa, Nicolle, Yi‐Ou Li, Tülay Adalı, & Vince D. Calhoun. (2008). Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia. IEEE Journal of Selected Topics in Signal Processing. 2(6). 998–1007. 106 indexed citations
8.
Li, Yi‐Ou, Tülay Adalı, & Vince D. Calhoun. (2007). Estimating the number of independent components for functional magnetic resonance imaging data. Human Brain Mapping. 28(11). 1251–1266. 773 indexed citations breakdown →

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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