Kaustubh R. Patil

Also affiliated with Forschungszentrum Jülich, Abasaheb Garware College, Ernst Ruska Centre, Jülich Aachen Research Alliance, Heinrich Heine University Düsseldorf

NeurosciencePsychologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 4%percentile

0.639Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Prediction of depressive symptoms severity based on sleep quality, anxiety, and gray matter volume: a generalizable machine learning approach across three datasets

EBioMedicine(2024)10.1016/j.ebiom.2024.105313

Top 31%

0.639DataRank

Top 31%27 citations

Fateme Samea, Shahrooz Faghihroohi, Somayeh Maleki Balajoo, V. Küppers, Sarah Genon +4 more

Papers

Driven by 21 papers — median percentile 69. Top paper: “Prediction of depressive symptoms severity based on sleep quality, anxiety, and gray matter volume: a generalizable machine learning approach across three datasets”.

Prediction of depressive symptoms severity based on sleep quality, anxiety, and gray matter volume: a generalizable machine learning approach across three datasets

EBioMedicine(2024)10.1016/j.ebiom.2024.105313

Top 31%

0.639DataRank

Top 31%27 citations

Fateme Samea, Shahrooz Faghihroohi, Somayeh Maleki Balajoo, V. Küppers, Sarah Genon +4 more

The uniqueness of human vulnerability to brain aging in great ape evolution

Science Advances(2024)10.1126/sciadv.ado2733

N/A

0.500DataRank · unranked

27 citations

Kaustubh R. Patil, Robert Dahnke, William D. Hopkins, Chet C. Sherwood, Svenja Caspers +3 more

Network and state specificity in connectivity‐based predictions of individual behavior

Human Brain Mapping(2024)10.1002/hbm.26753

N/A

0.330DataRank · unranked

8 citations

Robert Langner, V. Küppers, Federico Raimondo, Kaustubh R. Patil, Simon B. Eickhoff +2 more

Spatially localized fMRI metrics as predictive and highly distinct state-independent fingerprints

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.03.454862

N/A

0.312DataRank · unranked

7 citations

Martin Gell, Enrico Amico, Simon B. Eickhoff, Kaustubh R. Patil, Daouia I. Larabi

Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models

arXiv (Cornell University)(2023)10.48550/arxiv.2310.12568

N/A

0.269DataRank · unranked

5 citations

Shammi More, Leonard Sasse, Vera Komeyer, Kaustubh R. Patil, Federico Raimondo +1 more

A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

eLife(2024)10.7554/elife.93246.3

N/A

0.165DataRank · unranked

2 citations

Felix Hoffstaedter, Felix L. Nägele, Carola Mayer, Maximilian Schell, David Leander Rimmele +12 more

A topography-based predictive framework for naturalistic viewing fMRI

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.26.493420

N/A

0.104DataRank · unranked

1 citations

Patrick Friedrich, Kaustubh R. Patil, Simon B. Eickhoff, Susanne Weis, Xuan Li

Predicting Brain Volumes from Anthropometric and Demographic Features: Insights from UK Biobank Neuroimaging Data

10.1101/2025.06.22.660902

N/A

0.104DataRank · unranked

1 citations

Simon B. Eickhoff, Georgios Antonopoulos, Lukas Hensel, Caroline Tscherpel, Vera Komeyer +4 more

A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

eLife(2023)10.7554/elife.93246

N/A

0DataRank · unranked

11 citations

Felix Hoffstaedter, Felix L. Nägele, Carola Mayer, Maximilian Schell, David Leander Rimmele +12 more

A topography-based predictive framework for naturalistic viewing fMRI

NeuroImage(2023)10.1016/j.neuroimage.2023.120245

N/A

0DataRank · unranked

3 citations

Patrick Friedrich, Kaustubh R. Patil, Simon B. Eickhoff, Susanne Weis, Xuan Li

Network and State Specificity in Connectivity-Based Predictions of Individual Behavior

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.11.540387

N/A

0DataRank · unranked

3 citations

Robert Langner, V. Küppers, Federico Raimondo, Kaustubh R. Patil, Simon B. Eickhoff +2 more

Brain-age prediction: a systematic comparison of machine learning workflows

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.16.515405

N/A

0DataRank · unranked

4 citations

Georgios Antonopoulos, Felix Hoffstaedter, Julian Caspers, Simon B. Eickhoff, Kaustubh R. Patil +2 more

Brain-age prediction: A systematic comparison of machine learning workflows

NeuroImage(2023)10.1016/j.neuroimage.2023.119947

N/A

0DataRank · unranked

120 citations

Georgios Antonopoulos, Felix Hoffstaedter, Julian Caspers, Simon B. Eickhoff, Kaustubh R. Patil +1 more

Leveraging Machine Learning for Gaining Neurobiological and Nosological Insights in Psychiatric Research

Biological Psychiatry(2022)10.1016/j.biopsych.2022.07.025

N/A

0DataRank · unranked

45 citations

Kaustubh R. Patil, B.T. Thomas Yeo, Simon B. Eickhoff, Chen Ji

Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites

JuSER (Forschungszentrum Jülich)(2024)10.34734/fzj-2026-02344

N/A

0DataRank · unranked

1 citations

Simon B. Eickhoff, Christian Jung, Martin Reuter, Kersten Diers, Malte Kelm +4 more

Voxel‐Wise or Region‐Wise Nuisance Regression for Functional Connectivity Analyses: Does It Matter?

Human Brain Mapping(2025)10.1002/hbm.70323

N/A

0DataRank · unranked

1 citations

Leonard Sasse, Daouia I. Larabi, Nicolás Nieto, Julian Caspers, Simon B. Eickhoff +2 more

Region-wise stacking ensembles for estimating brain-age using structural MRI

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.111182

N/A

0DataRank · unranked

1 citations

Shammi More, Simon B. Eickhoff, Federico Raimondo, Kaustubh R. Patil, Georgios Antonopoulos

Unveiling the Multifaceted Networks of the Left DLPFC for Precision TMS Targeting

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.19.689337

N/A

0DataRank · unranked

0 citations

Timm B. Poeppl, Niels Reuter, Kaustubh R. Patil, Stephan Kreuzer, Nga Yan Tse +5 more

Lack of Structural Brain Alterations associated with Insomnia: Findings from the ENIGMA-Sleep working group

Research Square(2022)10.21203/rs.3.rs-2203610/v1

N/A

0DataRank · unranked

4 citations

Stefan Frenzel, Hanwen Bi, Julian E. Schiel, Mortaza Afshani, Robin Bülow +19 more

Lack of structural brain alterations associated with insomnia: findings from the ENIGMA‐Sleep Working Group

Journal of Sleep Research(2023)10.1111/jsr.13884

N/A

0DataRank · unranked

30 citations

Stefan Frenzel, Hanwen Bi, Julian E. Schiel, Mortaza Afshani, Robin Bülow +20 more

Machine learning based identification of structural brain alterations underlying suicide risk in adolescents

Discover Mental Health(2023)10.1007/s44192-023-00033-6

N/A

0DataRank · unranked

16 citations

Karina S. Blair, Matthew Dobbertin, Kaustubh R. Patil, Patrick M. Tyler, Jay L. Ringle +7 more

Kaustubh R. Patil

Indexed papers

Top data-sharing exemplar

Papers