Demet Yüksel

523 total citations · 1 hit paper
20 papers, 315 citations indexed

About

Demet Yüksel is a scholar working on Cognitive Neuroscience, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Demet Yüksel has authored 20 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Neurology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Demet Yüksel's work include Visual perception and processing mechanisms (7 papers), Vestibular and auditory disorders (6 papers) and Ophthalmology and Eye Disorders (5 papers). Demet Yüksel is often cited by papers focused on Visual perception and processing mechanisms (7 papers), Vestibular and auditory disorders (6 papers) and Ophthalmology and Eye Disorders (5 papers). Demet Yüksel collaborates with scholars based in Belgium, United States and France. Demet Yüksel's co-authors include Philippe Lefèvre, Jean‐Jacques Orban de Xivry, Sophie de Brouwer, Marcus Missal, Gunnar Blohm, Jean Vanderdonckt, Joan Liu‐Shuang, Bruno Rossion, Marie‐Cécile Nassogne and Adrian Ivanoiu and has published in prestigious journals such as Nature Communications, Journal of Neurophysiology and Vision Research.

In The Last Decade

Demet Yüksel

19 papers receiving 303 citations

Hit Papers

Large Language Models lac... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Demet Yüksel Belgium 9 177 59 57 54 42 20 315
Elio M. Santos United States 12 303 1.7× 32 0.5× 25 0.4× 52 1.0× 108 2.6× 22 392
Sabira K. Mannan United Kingdom 11 539 3.0× 49 0.8× 26 0.5× 30 0.6× 46 1.1× 15 608
Vincent R. Vicci United States 6 175 1.0× 64 1.1× 47 0.8× 121 2.2× 202 4.8× 9 341
Theresa Raiser Germany 9 111 0.6× 71 1.2× 10 0.2× 49 0.9× 27 0.6× 13 269
J Reinhard Germany 5 246 1.4× 28 0.5× 24 0.4× 99 1.8× 163 3.9× 10 330
Fuchuan Sun United States 9 178 1.0× 39 0.7× 9 0.2× 72 1.3× 49 1.2× 25 320
PremNandhini Satgunam India 12 198 1.1× 20 0.3× 25 0.4× 114 2.1× 173 4.1× 48 352
Yelda Alkan United States 8 190 1.1× 56 0.9× 37 0.6× 52 1.0× 96 2.3× 13 305
Mark Harwood United States 12 263 1.5× 92 1.6× 22 0.4× 46 0.9× 8 0.2× 25 338
Janice M. Wensveen United States 11 286 1.6× 35 0.6× 74 1.3× 180 3.3× 358 8.5× 21 573

Countries citing papers authored by Demet Yüksel

Since Specialization
Citations

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

Fields of papers citing papers by Demet Yüksel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Demet Yüksel

This figure shows the co-authorship network connecting the top 25 collaborators of Demet Yüksel. A scholar is included among the top collaborators of Demet Yüksel 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 Demet Yüksel. Demet Yüksel 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.
Vanderdonckt, Jean, et al.. (2025). Large Language Models lack essential metacognition for reliable medical reasoning. Nature Communications. 16(1). 642–642. 20 indexed citations breakdown →
2.
Boschi, Antonella, et al.. (2025). Shaping OCT Norms in Children: The Impact of Age, Refraction, Gender, and Ethnicity. Journal of Pediatric Ophthalmology & Strabismus. 62(5). 356–367.
3.
Vanderdonckt, Jean, et al.. (2025). Pattern Recognition or Medical Knowledge? The Problem with Multiple-Choice Questions in Medicine. 5321–5341. 1 indexed citations
4.
Vanderdonckt, Jean, et al.. (2024). Impact of high-quality, mixed-domain data on the performance of medical language models. Journal of the American Medical Informatics Association. 31(9). 1875–1883. 5 indexed citations
5.
Lochy, Aliette, et al.. (2023). Spatial Resolution Evaluation Based on Experienced Visual Categories With Sweep Evoked Periodic EEG Activity. Investigative Ophthalmology & Visual Science. 64(3). 17–17. 1 indexed citations
6.
Colpa, Linda, et al.. (2023). Nonsurgical Consecutive Exotropia Following Childhood Esotropia: A Multicentered Study. American Journal of Ophthalmology. 258. 130–138. 1 indexed citations
7.
Yüksel, Demet, et al.. (2020). Vision Screening in Belgian Children: Too Much or Not Enough?. Ophthalmic Epidemiology. 27(5). 364–375. 6 indexed citations
8.
Yüksel, Demet, et al.. (2020). Motor skills in children with strabismus. Journal of American Association for Pediatric Ophthalmology and Strabismus. 24(2). 76.e1–76.e6. 13 indexed citations
9.
Xivry, Jean‐Jacques Orban de, et al.. (2020). Frontotemporal dementia patients exhibit deficits in predictive saccades. Journal of Computational Neuroscience. 49(3). 357–369. 2 indexed citations
10.
Xivry, Jean‐Jacques Orban de, et al.. (2020). Influence of prior and visual information on eye movements in amblyopic children. Journal of Computational Neuroscience. 49(3). 333–343. 1 indexed citations
11.
Yüksel, Demet, et al.. (2019). Integration of past and current visual information during eye movements in amblyopia. Progress in brain research. 248. 45–63. 1 indexed citations
12.
Liu‐Shuang, Joan, et al.. (2018). Rapid Objective Assessment of Contrast Sensitivity and Visual Acuity With Sweep Visual Evoked Potentials and an Extended Electrode Array. Investigative Ophthalmology & Visual Science. 59(2). 1144–1144. 22 indexed citations
13.
Prégardien, Caroline, et al.. (2016). Case Report. A & A Case Reports. 8(4). 75–77. 2 indexed citations
14.
Yüksel, Demet, et al.. (2015). Development of internal models and predictive abilities for visual tracking during childhood. Journal of Neurophysiology. 115(1). 301–309. 10 indexed citations
15.
Xivry, Jean‐Jacques Orban de, et al.. (2014). Spontaneous improvement in oculomotor function of children with cerebral palsy. Research in Developmental Disabilities. 36. 630–644. 12 indexed citations
16.
Xivry, Jean‐Jacques Orban de, et al.. (2013). The saccadic system does not compensate for the immaturity of the smooth pursuit system during visual tracking in children. Journal of Neurophysiology. 110(2). 358–367. 13 indexed citations
17.
Xivry, Jean‐Jacques Orban de, et al.. (2012). Dramatic impairment of prediction due to frontal lobe degeneration. Journal of Neurophysiology. 108(11). 2957–2966. 22 indexed citations
18.
Yüksel, Demet, Jean‐Jacques Orban de Xivry, & Philippe Lefèvre. (2010). Review of the major findings about Duane retraction syndrome (DRS) leading to an updated form of classification. Vision Research. 50(23). 2334–2347. 46 indexed citations
19.
Yüksel, Demet, Jean‐Jacques Orban de Xivry, & Philippe Lefèvre. (2008). Binocular coordination of saccades in Duane Retraction Syndrome. Vision Research. 48(19). 1972–1979. 2 indexed citations
20.
Brouwer, Sophie de, Demet Yüksel, Gunnar Blohm, Marcus Missal, & Philippe Lefèvre. (2002). What Triggers Catch-Up Saccades During Visual Tracking?. Journal of Neurophysiology. 87(3). 1646–1650. 135 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026