Peer Herholz

2.1k total citations
15 papers, 209 citations indexed

About

Peer Herholz is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Social Psychology. According to data from OpenAlex, Peer Herholz has authored 15 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Social Psychology. Recurrent topics in Peer Herholz's work include Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (8 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Peer Herholz is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (8 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Peer Herholz collaborates with scholars based in Canada, Germany and United States. Peer Herholz's co-authors include Sara Larivière, Raúl Rodríguez‐Cruces, Oualid Benkarim, Boris C. Bernhardt, Reinder Vos de Wael, Casey Paquola, Jessica Royer, Bo‐yong Park, Michael Notter and Bratislav Mišić and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Peer Herholz

14 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peer Herholz Canada 7 163 86 26 17 17 15 209
Daniel Bullock United States 9 175 1.1× 177 2.1× 19 0.7× 11 0.6× 42 2.5× 14 310
Shaun Warrington United Kingdom 6 136 0.8× 164 1.9× 19 0.7× 8 0.5× 37 2.2× 12 250
Yudan Ren China 9 256 1.6× 105 1.2× 18 0.7× 11 0.6× 9 0.5× 25 288
Nicolas Coquelet Belgium 10 256 1.6× 54 0.6× 28 1.1× 38 2.2× 12 0.7× 24 318
Şeyma Bayrak Germany 8 182 1.1× 100 1.2× 26 1.0× 14 0.8× 11 0.6× 12 218
Bradley Caron United States 8 278 1.7× 117 1.4× 13 0.5× 11 0.6× 13 0.8× 12 398
Vatche G. Baboyan United States 6 132 0.8× 41 0.5× 21 0.8× 9 0.5× 6 0.4× 8 167
Sina Mansour L. Australia 9 194 1.2× 103 1.2× 16 0.6× 12 0.7× 15 0.9× 16 256
Ying‐Chia Lin United States 8 84 0.5× 103 1.2× 24 0.9× 14 0.8× 6 0.4× 10 218
Aihuiping Xue Singapore 4 226 1.4× 98 1.1× 12 0.5× 12 0.7× 13 0.8× 5 273

Countries citing papers authored by Peer Herholz

Since Specialization
Citations

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

Fields of papers citing papers by Peer Herholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peer Herholz

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

All Works

15 of 15 papers shown
1.
Caron, Bradley, Peer Herholz, Ankush Gosain, et al.. (2025). A labeled Clinical-MRI dataset of Nigerian brains. Scientific Data. 12(1). 518–518.
2.
Luppi, Andrea I., et al.. (2024). Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers. Nature Communications. 15(1). 9152–9152. 1 indexed citations
3.
4.
Vega, Alejandro de la, Roberta Rocca, Ross Blair, et al.. (2022). Neuroscout, a unified platform for generalizable and reproducible fMRI research. eLife. 11. 5 indexed citations
5.
Royer, Jessica, Raúl Rodríguez‐Cruces, Shahin Tavakol, et al.. (2022). An Open MRI Dataset For Multiscale Neuroscience. Scientific Data. 9(1). 569–569. 49 indexed citations
6.
Notter, Michael, Peer Herholz, Sandra Da Costa, et al.. (2022). fMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines. Brain Topography. 36(2). 172–191. 5 indexed citations
7.
Larivière, Sara, Şeyma Bayrak, Reinder Vos de Wael, et al.. (2022). BrainStat: A toolbox for brain-wide statistics and multimodal feature associations. NeuroImage. 266. 119807–119807. 47 indexed citations
8.
Rodríguez‐Cruces, Raúl, Jessica Royer, Peer Herholz, et al.. (2022). Micapipe: A pipeline for multimodal neuroimaging and connectome analysis. NeuroImage. 263. 119612–119612. 47 indexed citations
9.
Herholz, Peer, et al.. (2021). BIDSonym: a BIDS App for the pseudo-anonymization of neuroimaging datasets. The Journal of Open Source Software. 6(64). 3169–3169. 1 indexed citations
10.
Beyer, Frauke, Jessica S. Flannery, Rémi Gau, et al.. (2021). A fMRI pre-registration template. Psychology Archives. 6 indexed citations
11.
Wagner, Adina, Christopher J. Markiewicz, Yaroslav O. Halchenko, et al.. (2020). The DataLad Handbook. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
12.
Notter, Michael, et al.. (2019). AtlasReader: A Python package to generate coordinate tables, region labels, and informative figures from statistical MRI images. The Journal of Open Source Software. 4(34). 1257–1257. 26 indexed citations
13.
Bopp, Miriam H. A., et al.. (2019). LAB–QA2GO: A Free, Easy-to-Use Toolbox for the Quality Assessment of Magnetic Resonance Imaging Data. Frontiers in Neuroscience. 13. 688–688. 7 indexed citations
14.
Kent, James D. & Peer Herholz. (2019). NiBetaSeries: task related correlations in fMRI. The Journal of Open Source Software. 4(41). 1295–1295. 4 indexed citations
15.
Schuster, Verena, et al.. (2017). Comparison of fMRI paradigms assessing visuospatial processing: Robustness and reproducibility. PLoS ONE. 12(10). e0186344–e0186344. 7 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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