Erdem Varol

3.2k total citations
24 papers, 663 citations indexed

About

Erdem Varol is a scholar working on Cognitive Neuroscience, Aging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erdem Varol has authored 24 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Aging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erdem Varol's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Functional Brain Connectivity Studies (6 papers) and Cell Image Analysis Techniques (5 papers). Erdem Varol is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Functional Brain Connectivity Studies (6 papers) and Cell Image Analysis Techniques (5 papers). Erdem Varol collaborates with scholars based in United States, France and Australia. Erdem Varol's co-authors include Christos Davatzikos, Aristeidis Sotiras, Oliver Hobert, Eviatar Yemini, Cyril Cros, Molly B. Reilly, Amin Nejatbakhsh, Liam Paninski, Gonzalo E. Mena and Albert Lin and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Erdem Varol

24 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erdem Varol United States 11 238 186 169 151 113 24 663
Jonas Dyhrfjeld‐Johnsen United States 16 315 1.3× 44 0.2× 95 0.6× 222 1.5× 140 1.2× 24 977
Jean‐Luc Picq France 16 180 0.8× 110 0.6× 33 0.2× 108 0.7× 325 2.9× 28 714
Eyal Soreq United Kingdom 13 291 1.2× 24 0.1× 44 0.3× 235 1.6× 112 1.0× 45 936
L. E. DeLisi United States 14 256 1.1× 27 0.1× 240 1.4× 157 1.0× 50 0.4× 29 737
Christian R.A. Mondadori Switzerland 9 428 1.8× 18 0.1× 184 1.1× 221 1.5× 199 1.8× 11 937
Christian Schultheis Germany 15 112 0.5× 426 2.3× 115 0.7× 292 1.9× 215 1.9× 24 1.1k
Salil Saurav Pathak United States 13 130 0.5× 18 0.1× 27 0.2× 160 1.1× 50 0.4× 16 430
Jihwan Myung Taiwan 17 269 1.1× 96 0.5× 16 0.1× 191 1.3× 260 2.3× 33 1.1k
Ludovic S. Mure United States 15 204 0.9× 125 0.7× 24 0.1× 440 2.9× 356 3.2× 18 1.4k

Countries citing papers authored by Erdem Varol

Since Specialization
Citations

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

Fields of papers citing papers by Erdem Varol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erdem Varol

This figure shows the co-authorship network connecting the top 25 collaborators of Erdem Varol. A scholar is included among the top collaborators of Erdem Varol 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 Erdem Varol. Erdem Varol 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.
Barrett, Alec, Erdem Varol, Alexis Weinreb, et al.. (2026). Integrating bulk and single cell RNA-seq refines transcriptomic profiles of individual C. elegans neurons. eLife. 1 indexed citations
2.
Weinreb, Alexis, Erdem Varol, Alec Barrett, et al.. (2025). Alternative splicing across the C. elegans nervous system. Nature Communications. 16(1). 4508–4508. 3 indexed citations
3.
Wen, Junhao, Ioanna Skampardoni, Ye Tian, et al.. (2025). Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders. Nature Biomedical Engineering. 9(11). 1920–1937. 5 indexed citations
4.
Paulk, Angelique C., Yoav Kfir, Eric M. Trautmann, et al.. (2023). Robust Online Multiband Drift Estimation in Electrophysiology Data. PubMed. 10. 1–5. 4 indexed citations
5.
Berghoff, Emily G., Lori Glenwinkel, Abhishek Bhattacharya, et al.. (2021). The Prop1-like homeobox gene unc-42 specifies the identity of synaptically connected neurons. eLife. 10. 26 indexed citations
6.
Yemini, Eviatar, Amin Nejatbakhsh, Chen Wang, et al.. (2021). Visualizing the organization and differentiation of the male-specific nervous system of C. elegans. Development. 148(18). 14 indexed citations
7.
Herrlinger, Stephanie, et al.. (2021). Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images. Lecture notes in computer science. 12908. 466–475. 6 indexed citations
8.
Varol, Erdem, Olivier Winter, Anne E Urai, et al.. (2021). Decentralized Motion Inference and Registration of Neuropixel Data. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 1085–1089. 7 indexed citations
9.
Truelove‐Hill, Monica, Güray Erus, Vishnu Bashyam, et al.. (2020). A Multidimensional Neural Maturation Index Reveals Reproducible Developmental Patterns in Children and Adolescents. Journal of Neuroscience. 40(6). 1265–1275. 35 indexed citations
10.
Reilly, Molly B., Cyril Cros, Erdem Varol, Eviatar Yemini, & Oliver Hobert. (2020). Unique homeobox codes delineate all the neuron classes of C. elegans. Nature. 584(7822). 595–601. 91 indexed citations
11.
Baller, Erica B., Antonia N. Kaczkurkin, Aristeidis Sotiras, et al.. (2020). Neurocognitive and functional heterogeneity in depressed youth. Neuropsychopharmacology. 46(4). 783–790. 18 indexed citations
12.
Yemini, Eviatar, Albert Lin, Amin Nejatbakhsh, et al.. (2020). NeuroPAL: A Multicolor Atlas for Whole-Brain Neuronal Identification in C. elegans. Cell. 184(1). 272–288.e11. 134 indexed citations
13.
Kaczkurkin, Antonia N., Aristeidis Sotiras, Erica B. Baller, et al.. (2019). Neurostructural Heterogeneity in Youths With Internalizing Symptoms. Biological Psychiatry. 87(5). 473–482. 34 indexed citations
14.
Varol, Erdem, Aristeidis Sotiras, & Christos Davatzikos. (2018). MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage. 174. 111–126. 7 indexed citations
15.
Varol, Erdem, Aristeidis Sotiras, & Christos Davatzikos. (2016). HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage. 145(Pt B). 346–364. 111 indexed citations
16.
Gross, Polina, Nicolas Honnorat, Erdem Varol, et al.. (2016). Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images. Scientific Reports. 6(1). 23431–23431. 13 indexed citations
17.
Toledo, Jon B., Nicolas Honnorat, Jimit Doshi, et al.. (2016). Heterogeneity of neuroanatomical patterns in prodromal Alzheimer’s disease: links to cognition, progression and biomarkers. Brain. 140(3). aww319–aww319. 117 indexed citations
18.
Varol, Erdem & Christos Davatzikos. (2014). Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy. Lecture notes in computer science. 17(Pt 2). 446–453. 1 indexed citations
19.
Varol, Erdem, Bilwaj Gaonkar, & Christos Davatzikos. (2013). Classifying medical images using morphological appearance manifolds. PubMed. 2013. 744–747. 1 indexed citations
20.
Varol, Erdem, Bilwaj Gaonkar, Güray Erus, Robert T. Schultz, & Christos Davatzikos. (2012). Feature ranking based nested support vector machine ensemble for medical image classification. PubMed. 146–149. 25 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