Umut Güçlü

2.0k total citations
42 papers, 844 citations indexed

About

Umut Güçlü is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Umut Güçlü has authored 42 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 9 papers in Electrical and Electronic Engineering and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Umut Güçlü's work include Neural dynamics and brain function (17 papers), Face Recognition and Perception (8 papers) and Advanced Memory and Neural Computing (8 papers). Umut Güçlü is often cited by papers focused on Neural dynamics and brain function (17 papers), Face Recognition and Perception (8 papers) and Advanced Memory and Neural Computing (8 papers). Umut Güçlü collaborates with scholars based in Netherlands, France and Spain. Umut Güçlü's co-authors include Marcel van Gerven, Yağmur Güçlütürk, Katja Seeliger, Rob van Lier, Luca Ambrogioni, Sérgio Escalera, Xavier Baró, Hugo Jair Escalante, Sander Bosch and Linda Geerligs and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Scientific Reports.

In The Last Decade

Umut Güçlü

39 papers receiving 832 citations

Peers

Countries citing papers authored by Umut Güçlü

Since Specialization

Citations

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

Fields of papers citing papers by Umut Güçlü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umut Güçlü

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	End-to-end learning of safe stimulation parameters for cortical neuroprosthetic vision 2025 ·Journal of Neural Engineering ·(unknown), Bodo Rueckauer, (unknown), (unknown), Yağmur Güçlütürk, Pieter R. Roelfsema, Umut Güçlü, Marcel van Gerven	2
2	Dimensions underlying the representational alignment of deep neural networks with humans 2025 ·Nature Machine Intelligence ·(unknown), (unknown), Umut Güçlü, Martin N. Hebart	5
3	Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization 2024 ·(unknown), (unknown), Bodo Rueckauer, Nasir Ahmad, Umut Güçlü, Marcel van Gerven	0
4	The neural basis of event segmentation: Stable features in the environment are reflected by neural states 2024 ·Imaging Neuroscience ·(unknown), (unknown), Umut Güçlü, Linda Geerligs	0
5	Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning 2022 ·International Journal of Neural Systems ·(unknown), Bodo Rueckauer, Nasir Ahmad, (unknown), Umut Güçlü, Marcel van Gerven	18
6	A 10-hour within-participant magnetoencephalography narrative dataset to test models of language comprehension 2022 ·Scientific Data ·Kristijan Armeni, Umut Güçlü, Marcel van Gerven, Jan‐Mathijs Schoffelen	9
7	Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space 2022 ·Scientific Reports ·(unknown), Yağmur Güçlütürk, Luca Ambrogioni, Gabriëlle Ras, Sander Bosch, Marcel van Gerven, Umut Güçlü	20
8	End-to-end neural system identification with neural information flow 2021 ·PLoS Computational Biology ·Katja Seeliger, Luca Ambrogioni, Yağmur Güçlütürk, (unknown), Umut Güçlü, Marcel van Gerven	17
9	Detecting neural state transitions underlying event segmentation 2021 ·NeuroImage ·Linda Geerligs, Marcel van Gerven, Umut Güçlü	28
10	Modeling, Recognizing, and Explaining Apparent Personality From Videos 2020 ·IEEE Transactions on Affective Computing ·Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sérgio Escalera, Yağmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Julio C. S. Jacques, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, (unknown), (unknown), Cynthia C. S. Liem, Marcel van Gerven, Rob van Lier	63
11	Brain-optimized extraction of complex sound features that drive continuous auditory perception 2020 ·PLoS Computational Biology ·(unknown), Zachary V. Freudenburg, Umut Güçlü, Marcel van Gerven, Nick F. Ramsey	12
12	First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis 2018 ·arXiv (Cornell University) ·Julio C. S. Jacques, Yağmur Güçlütürk, (unknown), Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel van Gerven, Rob van Lier, Sérgio Escalera	15
13	Wasserstein Variational Inference 2018 ·UvA-DARE (University of Amsterdam) ·Luca Ambrogioni, Umut Güçlü, Yağmur Güçlütürk, Max Hinne, Marcel van Gerven, Eric Maris	5
14	Generative adversarial networks for reconstructing natural images from brain activity 2018 ·NeuroImage ·Katja Seeliger, Umut Güçlü, Luca Ambrogioni, Yağmur Güçlütürk, Marcel van Gerven	97
15	Neural Tuning to Low-Level Features of Speech throughout the Perisylvian Cortex 2017 ·Journal of Neuroscience ·(unknown), Zachary V. Freudenburg, Umut Güçlü, Marcel van Gerven, Nick F. Ramsey	17
16	Reconstructing perceived faces from brain activations with deep adversarial neural decoding 2017 ·Radboud Repository (Radboud University) ·Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob van Lier, Marcel van Gerven	40
17	Modeling brain responses to perceived speech with LSTM networks 2017 ·Data Archiving and Networked Services (DANS) ·(unknown), Zachary V. Freudenburg, Nick F. Ramsey, Umut Güçlü, Marcel van Gerven	2
18	Bayesian model ensembling using meta-trained recurrent neural networks 2017 ·Radboud Repository (Radboud University) ·Luca Ambrogioni, (unknown), Umut Güçlü, (unknown), Yağmur Güçlütürk, Marcel van Gerven, Eric Maris	1
19	Convolutional neural network-based encoding and decoding of visual object recognition in space and time 2017 ·NeuroImage ·Katja Seeliger, Matthias Fritsche, Umut Güçlü, (unknown), Jan‐Mathijs Schoffelen, Sander Bosch, Marcel van Gerven	75
20	Brains on Beats 2016 ·Neural Information Processing Systems ·Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel van Gerven	7

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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