Gregory Kiar

1.3k total citations
20 papers, 168 citations indexed

About

Gregory Kiar is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Information Systems and Management. According to data from OpenAlex, Gregory Kiar has authored 20 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Information Systems and Management. Recurrent topics in Gregory Kiar's work include Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). Gregory Kiar is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). Gregory Kiar collaborates with scholars based in United States, Canada and China. Gregory Kiar's co-authors include Joshua T Vogelstein, Tristan Glatard, Eric Bridgeford, Alan C. Evans, Michael P. Milham, Ting Xu, Ariel Rokem, William Gray-Roncal, Eleftherios Garyfallidis and John Kruper and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Gregory Kiar

17 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Kiar United States 9 110 84 16 14 13 20 168
Kathryn Alpert United States 3 62 0.6× 48 0.6× 12 0.8× 16 1.1× 9 0.7× 4 98
Drew Landis United States 7 153 1.4× 108 1.3× 22 1.4× 25 1.8× 17 1.3× 7 244
Sharad Sikka India 3 169 1.5× 67 0.8× 16 1.0× 19 1.4× 8 0.6× 4 208
Gemeng Zhang United States 10 175 1.6× 98 1.2× 27 1.7× 14 1.0× 6 0.5× 15 239
Dylan Wood United States 5 186 1.7× 115 1.4× 17 1.1× 25 1.8× 12 0.9× 5 279
Peer Herholz Canada 7 163 1.5× 86 1.0× 12 0.8× 6 0.4× 4 0.3× 15 209
Mona Rosenke United States 5 153 1.4× 52 0.6× 11 0.7× 16 1.1× 4 0.3× 8 218
Joelle Zimmermann Canada 6 261 2.4× 149 1.8× 34 2.1× 17 1.2× 2 0.2× 9 302
Matthew Leming United States 8 67 0.6× 35 0.4× 8 0.5× 12 0.9× 4 0.3× 9 147
Bonhwang Koo United States 3 58 0.5× 22 0.3× 28 1.8× 6 0.4× 6 0.5× 5 119

Countries citing papers authored by Gregory Kiar

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Kiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Kiar

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Kiar. A scholar is included among the top collaborators of Gregory Kiar 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 Gregory Kiar. Gregory Kiar 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.
Raucher‐Chéné, Delphine, Gregory Kiar, Raihaan Patel, et al.. (2025). White matter integrity and verbal memory following a first episode of psychosis: A longitudinal study. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 137. 111294–111294.
2.
Markiewicz, Christopher J., Mathias Goncalves, Gregory Kiar, et al.. (2024). A Numerical Variability Approach to Results Stability Tests and Its Application to Neuroimaging. IEEE Transactions on Computers. 74(1). 200–209. 1 indexed citations
3.
Kiar, Gregory, Jeanette A. Mumford, Ting Xu, et al.. (2024). Why experimental variation in neuroimaging should be embraced. Nature Communications. 15(1). 9411–9411. 2 indexed citations
4.
Xu, Ting, Gregory Kiar, Xi‐Nian Zuo, Joshua T. Vogelstein, & Michael P. Milham. (2024). Challenges in measuring individual differences of brain function. Imaging Neuroscience. 3. 1 indexed citations
5.
Li, Xinhui, Nathália Bianchini Esper, Lei Ai, et al.. (2024). Moving beyond processing- and analysis-related variation in resting-state functional brain imaging. Nature Human Behaviour. 8(10). 2003–2017. 11 indexed citations
6.
Kiar, Gregory, et al.. (2024). Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of Autism. Advances in neurobiology. 40. 511–544.
7.
Jarecka, Dorota, Sydney Covitz, Yibei Chen, et al.. (2024). A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps. Imaging Neuroscience. 2. 1 indexed citations
8.
Kiar, Gregory, et al.. (2024). Numerical stability of DeepGOPlus inference. PLoS ONE. 19(1). e0296725–e0296725. 1 indexed citations
9.
Tobe, Russell H., Gregory Kiar, Rachel Ross, et al.. (2024). Age, Motion, Medical, and Psychiatric Associations With Incidental Findings in Brain MRI. JAMA Network Open. 7(2). e2355901–e2355901.
10.
Xu, Ting, Gregory Kiar, Jae Wook Cho, et al.. (2023). ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences. Nature Methods. 20(7). 1025–1028. 15 indexed citations
11.
Kiar, Gregory, et al.. (2022). PyTracer: Automatically Profiling Numerical Instabilities in Python. IEEE Transactions on Computers. 72(6). 1792–1803. 2 indexed citations
12.
Kiar, Gregory, Eric Petit, Ariel Rokem, et al.. (2021). Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks. PLoS ONE. 16(11). e0250755–e0250755. 8 indexed citations
13.
Bridgeford, Eric, Zeyi Wang, Ting Xu, et al.. (2021). Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Computational Biology. 17(9). e1009279–e1009279. 32 indexed citations
14.
15.
Kruper, John, Jason D. Yeatman, Adam Richie-Halford, et al.. (2021). Evaluating the Reliability of Human Brain White Matter Tractometry. SHILAP Revista de lepidopterología. 2021(1). 41 indexed citations
16.
Khundrakpam, Budhachandra, Uku Vainik, Jinnan Gong, et al.. (2020). Neural correlates of polygenic risk score for autism spectrum disorders in general population. Brain Communications. 2(2). fcaa092–fcaa092. 16 indexed citations
17.
Bosch‐Bayard, Jorge, Eduardo Aubert-Vázquez, Shawn T. Brown, et al.. (2020). A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra. Frontiers in Neuroinformatics. 14. 33–33. 11 indexed citations
18.
Kiar, Gregory, Shawn T. Brown, Tristan Glatard, & Alan C. Evans. (2019). A Serverless Tool for Platform Agnostic Computational Experiment Management. Frontiers in Neuroinformatics. 13. 12–12. 9 indexed citations
19.
Matelsky, Jordan, et al.. (2018). Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. Journal of Digital Imaging. 31(3). 315–320. 10 indexed citations
20.
Kiar, Gregory, et al.. (2016). ndmg: NeuroData's MRI Graphs pipeline. Zenodo (CERN European Organization for Nuclear Research). 6 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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