Ahmet Ademoğlu

1.6k total citations
45 papers, 1.3k citations indexed

About

Ahmet Ademoğlu is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ahmet Ademoğlu has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 12 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ahmet Ademoğlu's work include Neural dynamics and brain function (26 papers), EEG and Brain-Computer Interfaces (17 papers) and Functional Brain Connectivity Studies (15 papers). Ahmet Ademoğlu is often cited by papers focused on Neural dynamics and brain function (26 papers), EEG and Brain-Computer Interfaces (17 papers) and Functional Brain Connectivity Studies (15 papers). Ahmet Ademoğlu collaborates with scholars based in Türkiye, United States and Germany. Ahmet Ademoğlu's co-authors include Tamer Demıralp, Canan Başar‐Eroğlu, Martin Schürmann, Erol Başar, Juliana Yordanova, Vasil Kolev, John Polich, Ümmühan İşoĝlu-Alkaç, Y. İstefanopulos and Ertuğrul Başar and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Vision Research and Neuroreport.

In The Last Decade

Ahmet Ademoğlu

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmet Ademoğlu Türkiye 16 1.1k 156 150 100 84 45 1.3k
Trent Lewis Australia 16 873 0.8× 217 1.4× 160 1.1× 103 1.0× 52 0.6× 40 1.1k
Michal Teplan Slovakia 7 903 0.8× 223 1.4× 153 1.0× 154 1.5× 79 0.9× 28 1.2k
Yodchanan Wongsawat Thailand 17 556 0.5× 163 1.0× 113 0.8× 115 1.1× 47 0.6× 108 896
Kai Görgen Germany 9 1.1k 1.0× 86 0.6× 97 0.6× 157 1.6× 106 1.3× 18 1.3k
S. Salinari Italy 25 1.5k 1.3× 279 1.8× 127 0.8× 127 1.3× 60 0.7× 77 1.8k
Theerawit Wilaiprasitporn Thailand 16 740 0.6× 179 1.1× 167 1.1× 178 1.8× 76 0.9× 56 1.1k
Hiroaki Mizuhara Japan 12 646 0.6× 79 0.5× 143 1.0× 61 0.6× 57 0.7× 40 942
Tiejun Liu China 19 1.0k 0.9× 325 2.1× 199 1.3× 116 1.2× 62 0.7× 71 1.2k
Sheng-Hsiou Hsu United States 15 848 0.7× 141 0.9× 165 1.1× 91 0.9× 32 0.4× 22 1.0k
Bärbel Schack Germany 12 970 0.8× 124 0.8× 82 0.5× 88 0.9× 100 1.2× 28 1.2k

Countries citing papers authored by Ahmet Ademoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Ahmet Ademoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmet Ademoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmet Ademoğlu. A scholar is included among the top collaborators of Ahmet Ademoğlu 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 Ahmet Ademoğlu. Ahmet Ademoğlu 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.
2.
Demıralp, Tamer, et al.. (2024). Integrative role of attention networks in frequency-dependent modular organization of human brain. Brain Structure and Function. 229(9). 2405–2417. 1 indexed citations
3.
Ege, Duygu, et al.. (2023). Machine learning models to predict the relationship between printing parameters and tensile strength of 3D Poly (lactic acid) scaffolds for tissue engineering applications. Biomedical Physics & Engineering Express. 9(6). 65014–65014. 30 indexed citations
4.
Assem, Moataz, Idan Blank, Zachary Mineroff, Ahmet Ademoğlu, & Evelina Fedorenko. (2020). Activity in the fronto-parietal multiple-demand network is robustly associated with individual differences in working memory and fluid intelligence. Cortex. 131. 1–16. 60 indexed citations
5.
Ademoğlu, Ahmet, et al.. (2020). Investigation of functional variability and connectivity in temporal lobe epilepsy: A resting state fMRI study. Neuroscience Letters. 733. 135076–135076. 12 indexed citations
6.
Bayram, Ali, et al.. (2016). Achromatic temporal-frequency responses of human lateral geniculate nucleus and primary visual cortex. Vision Research. 127. 177–185. 11 indexed citations
7.
Ademoğlu, Ahmet, et al.. (2013). Bubble Stream Reveals Functionality of the Right-to-Left Shunt: Detection of a Potential Source for Air Embolism. Ultrasound in Medicine & Biology. 40(2). 330–340. 1 indexed citations
8.
Duru, Adil Deniz, Ahmet Ademoğlu, & Tamer Demıralp. (2008). Analysis of brain electrical topography by spatio-temporal wavelet decomposition. Mathematical and Computer Modelling. 49(11-12). 2224–2235. 6 indexed citations
9.
Duru, Adil Deniz, Hamdi Eryilmaz, Uzay Emir, et al.. (2007). Implementation of Low Resolution Electro-Magnetic Tomography with fMRI Statistical Maps on Realistic Head Models. Conference proceedings. 80. 5239–5242. 3 indexed citations
10.
Bayram, Ali, Erol Yıldırım, Tamer Demıralp, & Ahmet Ademoğlu. (2006). Spatial Frequency Components of to the Event Related Brain Potentials (ERP). 1. 1–4. 1 indexed citations
11.
Emir, Uzay, Adil Deniz Duru, Ahmet Ademoğlu, & Ata Akın. (2005). Coregistration of fNIRS Data on to the Realistic Head Model. PubMed. 2005. 3184–3187. 1 indexed citations
12.
Demıralp, Tamer & Ahmet Ademoğlu. (2001). Decomposition of Event-Related Brain Potentials into Multiple Functional Components Using Wavelet Transform. Clinical Electroencephalography. 32(3). 122–138. 38 indexed citations
13.
Demıralp, Tamer, et al.. (2001). Wavelet Analysis of P3a and P3b. Brain Topography. 13(4). 251–267. 134 indexed citations
14.
İşoĝlu-Alkaç, Ümmühan, et al.. (2000). Alpha activity decreases during the perception of Necker cube reversals: an application of wavelet transform. Biological Cybernetics. 82(4). 313–320. 48 indexed citations
15.
Yordanova, Juliana, et al.. (2000). Multiple time-frequency components account for the complex functional reactivity of P300. Neuroreport. 11(5). 1097–1103. 60 indexed citations
16.
Demıralp, Tamer, Ahmet Ademoğlu, Martin Schürmann, Canan Başar‐Eroğlu, & Erol Başar. (1999). Detection of P300 Waves in Single Trials by the Wavelet Transform (WT). Brain and Language. 66(1). 108–128. 106 indexed citations
17.
Başar, Erol, Tamer Demıralp, Martin Schürmann, Canan Başar‐Eroğlu, & Ahmet Ademoğlu. (1999). Oscillatory Brain Dynamics, Wavelet Analysis, and Cognition. Brain and Language. 66(1). 146–183. 97 indexed citations
18.
Demıralp, Tamer, et al.. (1999). Time–Frequency Analysis of Single-Sweep Event-Related Potentials by Means of Fast Wavelet Transform. Brain and Language. 66(1). 129–145. 92 indexed citations
19.
Demıralp, Tamer, et al.. (1999). A model for P300 generation based on responses to near-threshold visual stimuli. Cognitive Brain Research. 8(1). 37–43. 18 indexed citations
20.
Ademoğlu, Ahmet, et al.. (1997). Analysis of pattern reversal visual evoked potentials (PRVEPs) by spline wavelets. IEEE Transactions on Biomedical Engineering. 44(9). 881–890. 47 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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