Daniel Glen

4.1k total citations · 1 hit paper
36 papers, 2.2k citations indexed

About

Daniel Glen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Daniel Glen has authored 36 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 27 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Genetics. Recurrent topics in Daniel Glen's work include Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Advanced MRI Techniques and Applications (14 papers). Daniel Glen is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Advanced MRI Techniques and Applications (14 papers). Daniel Glen collaborates with scholars based in United States, United Kingdom and Netherlands. Daniel Glen's co-authors include Robert W. Cox, Richard C. Reynolds, Paul A. Taylor, Gang Chen, Ziad S. Saad, Michael S. Beauchamp, Gang Chen, Rutvik H. Desai, Frank Q. Ye and David A. Leopold and has published in prestigious journals such as Nature Communications, Nature Neuroscience and PLoS ONE.

In The Last Decade

Daniel Glen

35 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FMRI Clustering in AFNI: False-Positive Rates Redux

2017 635 citations Robert W. Cox, Gang Chen et al. Brain Connectivity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Glen United States	21	1.6k	730	287	196	182	36	2.2k
Ido Tavor Israel	13	1.2k 0.8×	687 0.9×	263 0.9×	110 0.6×	143 0.8×	31	1.9k
Toshihiko Aso Japan	23	1.3k 0.8×	521 0.7×	261 0.9×	177 0.9×	213 1.2×	96	2.1k
Sofie L. Valk Germany	24	1.6k 1.0×	663 0.9×	302 1.1×	122 0.6×	300 1.6×	78	2.2k
Asier Erramuzpe Spain	14	1.6k 1.0×	488 0.7×	377 1.3×	109 0.6×	257 1.4×	33	2.3k
Sharna D. Jamadar Australia	24	1.3k 0.8×	357 0.5×	284 1.0×	265 1.4×	246 1.4×	74	2.0k
Gianpaolo Basso Italy	23	1.9k 1.2×	559 0.8×	413 1.4×	181 0.9×	297 1.6×	62	2.8k
Roger Tait United Kingdom	18	858 0.5×	532 0.7×	239 0.8×	188 1.0×	259 1.4×	39	1.8k
Alberto Llera Netherlands	17	1.4k 0.9×	478 0.7×	289 1.0×	138 0.7×	250 1.4×	39	1.8k
Liberty S. Hamilton United States	27	1.6k 1.0×	571 0.8×	328 1.1×	201 1.0×	453 2.5×	40	2.4k
Zaixu Cui China	22	1.6k 1.0×	954 1.3×	478 1.7×	92 0.5×	319 1.8×	67	2.4k

Countries citing papers authored by Daniel Glen

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Glen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Glen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Taylor, Paul A., Daniel Glen, Gang Chen, et al.. (2024). A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth, and interactive QC with afni_proc.py and more. Imaging Neuroscience. 2. 1–39. 3 indexed citations

Saleem, Kadharbatcha S., Alexandru Avram, Daniel Glen, Vincent Schram, & Peter J. Basser. (2024). The Subcortical Atlas of the Marmoset (“SAM”) monkey based on high-resolution MRI and histology. Cerebral Cortex. 34(4). 1 indexed citations

Reynolds, Richard C., et al.. (2024). Processing, evaluating, and understanding FMRI data with afni_proc.py. Imaging Neuroscience. 2. 1–52. 2 indexed citations

Rorden, Chris, Taylor Hanayik, Daniel Glen, et al.. (2024). Improving 3D edge detection for visual inspection of MRI coregistration and alignment. Journal of Neuroscience Methods. 406. 110112–110112. 1 indexed citations

Hartig, Renée, Daniel Glen, Benjamin Jung, et al.. (2021). The Subcortical Atlas of the Rhesus Macaque (SARM) for neuroimaging. NeuroImage. 235. 117996–117996. 41 indexed citations

Jung, Benjamin, Paul A. Taylor, Jakob Seidlitz, et al.. (2021). A comprehensive macaque fMRI pipeline and hierarchical atlas. NeuroImage. 235. 117997–117997. 78 indexed citations

Saleem, Kadharbatcha S., Alexandru Avram, Daniel Glen, et al.. (2021). High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology. NeuroImage. 245. 118759–118759. 26 indexed citations

Sammartino, Francesco, Paul A. Taylor, Gang Chen, et al.. (2021). Functional Neuroimaging During Asleep DBS Surgery: A Proof of Concept Study. Frontiers in Neurology. 12. 659002–659002. 5 indexed citations

Chen, Gang, Paul‐Christian Bürkner, Paul A. Taylor, et al.. (2019). An integrative Bayesian approach to matrix‐based analysis in neuroimaging. Human Brain Mapping. 40(14). 4072–4090. 23 indexed citations

10.

Vis, Jill B. De, Sunbin Song, Marie Luby, et al.. (2019). Identifying perfusion deficits on CT perfusion images using temporal similarity perfusion (TSP) mapping. European Radiology. 29(8). 4198–4206. 1 indexed citations

11.

Huber, Laurentius, Emily S. Finn, Daniel A. Handwerker, et al.. (2019). Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex. NeuroImage. 208. 116463–116463. 73 indexed citations

12.

Chen, Gang, Robert W. Cox, Daniel Glen, et al.. (2018). A tail of two sides: Artificially doubled false positive rates in neuroimaging due to the sidedness choice with t ‐tests. Human Brain Mapping. 40(3). 1037–1043. 38 indexed citations

13.

Torrisi, Salvatore, Gang Chen, Daniel Glen, et al.. (2018). Statistical power comparisons at 3T and 7T with a GO / NOGO task. NeuroImage. 175. 100–110. 20 indexed citations

14.

Cox, Robert W., Gang Chen, Daniel Glen, Richard C. Reynolds, & Paul A. Taylor. (2017). FMRI Clustering in AFNI: False-Positive Rates Redux. Brain Connectivity. 7(3). 152–171. 635 indexed citations breakdown →

15.

Branco, Mariana P., Anna Gaglianese, Daniel Glen, et al.. (2017). ALICE: A tool for automatic localization of intra-cranial electrodes for clinical and high-density grids. Journal of Neuroscience Methods. 301. 43–51. 32 indexed citations

16.

Seidlitz, Jakob, Caleb Sponheim, Daniel Glen, et al.. (2017). A population MRI brain template and analysis tools for the macaque. NeuroImage. 170. 121–131. 132 indexed citations

17.

Chen, Gang, Yong‐Wook Shin, Paul A. Taylor, et al.. (2016). Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level. NeuroImage. 142. 248–259. 51 indexed citations

18.

Reveley, Colin, Audrūnas Gruslys, Frank Q. Ye, et al.. (2016). Three-Dimensional Digital Template Atlas of the Macaque Brain. Cerebral Cortex. 27(9). 4463–4477. 127 indexed citations

19.

Molfese, Peter J., M. Marx, Moriah E. Thomason, et al.. (2015). A Neural Substrate for Behavioral Inhibition in the Risk for Major Depressive Disorder. Journal of the American Academy of Child & Adolescent Psychiatry. 54(10). 841–848. 19 indexed citations

20.

Chen, Gang, Daniel Glen, Ziad S. Saad, et al.. (2011). Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis. Computers in Biology and Medicine. 41(12). 1142–1155. 76 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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