Fatma Deniz

580 total citations
12 papers, 243 citations indexed

About

Fatma Deniz is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Networks and Communications. According to data from OpenAlex, Fatma Deniz has authored 12 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 2 papers in Social Psychology and 1 paper in Computer Networks and Communications. Recurrent topics in Fatma Deniz's work include Neurobiology of Language and Bilingualism (6 papers), Neuroscience and Music Perception (2 papers) and Neural and Behavioral Psychology Studies (2 papers). Fatma Deniz is often cited by papers focused on Neurobiology of Language and Bilingualism (6 papers), Neuroscience and Music Perception (2 papers) and Neural and Behavioral Psychology Studies (2 papers). Fatma Deniz collaborates with scholars based in United States, Germany and Italy. Fatma Deniz's co-authors include Jack L. Gallant, Alexander G. Huth, Anwar O. Núñez-Elizalde, Natalia Y. Bilenko, James Gao, Leila Wehbe, Tom Dupré la Tour, Maximilian Golla, Claude Castelluccia and Chris Holdgraf and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Fatma Deniz

11 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fatma Deniz United States	6	157	52	46	43	34	12	243
Kristijan Armeni Netherlands	5	184 1.2×	60 1.2×	30 0.7×	67 1.6×	47 1.4×	6	270
Samuel Ritter United States	3	184 1.2×	52 1.0×	58 1.3×	98 2.3×	33 1.0×	5	270
Hope Kean United States	7	206 1.3×	106 2.0×	50 1.1×	40 0.9×	33 1.0×	12	275
Charlotte Caucheteux France	5	240 1.5×	40 0.8×	43 0.9×	131 3.0×	35 1.0×	6	365
Jonathan T. McClain United States	5	123 0.8×	58 1.1×	37 0.8×	44 1.0×	35 1.0×	8	279
Shailee Jain United States	5	138 0.9×	18 0.3×	20 0.4×	43 1.0×	16 0.5×	9	208
Doug Markant United States	4	92 0.6×	40 0.8×	25 0.5×	56 1.3×	31 0.9×	6	217
Carina Kauf United States	4	174 1.1×	41 0.8×	40 0.9×	136 3.2×	38 1.1×	7	286
Ed Vul United States	9	312 2.0×	38 0.7×	35 0.8×	81 1.9×	54 1.6×	21	417
Blair Kaneshiro United States	9	258 1.6×	32 0.6×	27 0.6×	23 0.5×	34 1.0×	23	338

Countries citing papers authored by Fatma Deniz

Since Specialization

Citations

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

Fields of papers citing papers by Fatma Deniz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatma Deniz

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Kainmueller, Dagmar, et al.. (2025). Do Transformers and CNNs Learn Different Concepts of Brain Age?. Human Brain Mapping. 46(8). e70243–e70243. 2 indexed citations

2.

Tour, Tom Dupré la, et al.. (2024). The cortical representation of language timescales is shared between reading and listening. Communications Biology. 7(1). 284–284. 4 indexed citations

3.

Deniz, Fatma, et al.. (2024). Speech language models lack important brain-relevant semantics. 8503–8528.

4.

Deniz, Fatma, et al.. (2023). Semantic Representations during Language Comprehension Are Affected by Context. Journal of Neuroscience. 43(17). 3144–3158. 17 indexed citations

5.

Huth, Alexander G., et al.. (2023). Phonemic segmentation of narrative speech in human cerebral cortex. Nature Communications. 14(1). 4309–4309. 7 indexed citations

6.

Deniz, Fatma, et al.. (2022). Attention weights accurately predict language representations in the brain. 4513–4529. 1 indexed citations

7.

Huth, Alexander G., Natalia Y. Bilenko, Fatma Deniz, et al.. (2021). Visual and linguistic semantic representations are aligned at the border of human visual cortex. Nature Neuroscience. 24(11). 1628–1636. 78 indexed citations

8.

Deniz, Fatma, et al.. (2021). Non-Complementarity of Information in Word-Embedding and Brain Representations in Distinguishing between Concrete and Abstract Words. 1–11. 2 indexed citations

9.

Deniz, Fatma, Anwar O. Núñez-Elizalde, Alexander G. Huth, & Jack L. Gallant. (2019). The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality. Journal of Neuroscience. 39(39). 7722–7736. 110 indexed citations

10.

Wehbe, Leila, et al.. (2018). BOLD predictions: automated simulation of fMRI experiments. 1 indexed citations

11.

Castelluccia, Claude, et al.. (2017). Towards Implicit Visual Memory-Based Authentication. 10 indexed citations

12.

Holdgraf, Chris, et al.. (2017). Portable Learning Environments for Hands-On Computational Instruction. 1–9. 11 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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