Michael Waskom

4.6k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

Michael Waskom is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience and Pharmacology. According to data from OpenAlex, Michael Waskom has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 3 papers in Behavioral Neuroscience and 2 papers in Pharmacology. Recurrent topics in Michael Waskom's work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Michael Waskom is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Michael Waskom collaborates with scholars based in United States, Canada and United Kingdom. Michael Waskom's co-authors include Yaroslav O. Halchenko, Krzysztof J. Gorgolewski, Cindee Madison, Satrajit Ghosh, Dav Clark, John D. E. Gabrieli, Anthony D. Wagner, Todd W. Thompson, Roozbeh Kiani and Dan V. Iosifescu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Michael Waskom

15 papers receiving 2.0k 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.

Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python

2011 1.3k citations Krzysztof J. Gorgolewski, Cindee Madison et al. Frontiers in Neuroinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Waskom United States	11	1.4k	411	388	188	136	15	2.0k
Zhihao Li China	29	1.1k 0.8×	345 0.8×	361 0.9×	192 1.0×	243 1.8×	66	2.0k
Jessey Wright United States	7	1.6k 1.1×	375 0.9×	435 1.1×	238 1.3×	55 0.4×	10	2.0k
Mathias Goncalves United States	7	1.6k 1.2×	379 0.9×	478 1.2×	249 1.3×	57 0.4×	14	2.1k
Óscar Miranda-Domínguez United States	19	1.2k 0.9×	255 0.6×	436 1.1×	286 1.5×	128 0.9×	50	1.9k
Asier Erramuzpe Spain	14	1.6k 1.2×	377 0.9×	488 1.3×	257 1.4×	55 0.4×	33	2.3k
Christopher J. Markiewicz United States	8	1.7k 1.2×	386 0.9×	485 1.3×	245 1.3×	54 0.4×	24	2.1k
Ross Blair United States	6	1.6k 1.1×	368 0.9×	440 1.1×	241 1.3×	53 0.4×	12	2.0k
David Clewett United States	19	1.7k 1.2×	308 0.7×	298 0.8×	126 0.7×	130 1.0×	38	2.1k
Ayse Ilkay Isik Germany	6	1.7k 1.2×	453 1.1×	427 1.1×	238 1.3×	53 0.4×	9	2.1k
Elizabeth DuPré United States	13	2.0k 1.4×	470 1.1×	562 1.4×	309 1.6×	55 0.4×	23	2.5k

Countries citing papers authored by Michael Waskom

Since Specialization

Citations

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

Fields of papers citing papers by Michael Waskom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Waskom

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

All Works

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15 of 15 papers shown

Ballard, Ian C., et al.. (2024). Reward Reinforcement Creates Enduring Facilitation of Goal-directed Behavior. Journal of Cognitive Neuroscience. 36(12). 2847–2862. 2 indexed citations

Waskom, Michael. (2021). seaborn: statistical data visualization. The Journal of Open Source Software. 6(60). 3021–3021. 29 indexed citations

Waskom, Michael, Gouki Okazawa, & Roozbeh Kiani. (2019). Designing and Interpreting Psychophysical Investigations of Cognition. Neuron. 104(1). 100–112. 23 indexed citations

Waskom, Michael, et al.. (2018). Perceptual insensitivity to higher-order statistical moments of coherent random dot motion. Journal of Vision. 18(6). 9–9. 5 indexed citations

Gagnon, Stephanie A., Michael Waskom, Thackery I. Brown, & Anthony D. Wagner. (2018). Stress Impairs Episodic Retrieval by Disrupting Hippocampal and Cortical Mechanisms of Remembering. Cerebral Cortex. 29(7). 2947–2964. 34 indexed citations

Waskom, Michael & Roozbeh Kiani. (2018). Decision Making through Integration of Sensory Evidence at Prolonged Timescales. Current Biology. 28(23). 3850–3856.e9. 25 indexed citations

Waskom, Michael & Anthony D. Wagner. (2017). Distributed representation of context by intrinsic subnetworks in prefrontal cortex. Proceedings of the National Academy of Sciences. 114(8). 2030–2035. 20 indexed citations

Waskom, Michael, Alexandre Gramfort, Eric B. Larson, et al.. (2016). nipy/PySurfer: Version 0.7. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Thompson, Todd W., Michael Waskom, & John D. E. Gabrieli. (2016). Intensive Working Memory Training Produces Functional Changes in Large-scale Frontoparietal Networks. Journal of Cognitive Neuroscience. 28(4). 575–588. 85 indexed citations

10.

Waskom, Michael, Michael C. Frank, & Anthony D. Wagner. (2016). Adaptive Engagement of Cognitive Control in Context-Dependent Decision Making. Cerebral Cortex. bhv333–bhv333. 32 indexed citations

11.

Treadway, Michael T., Michael Waskom, Daniel G. Dillon, et al.. (2014). Illness Progression, Recent Stress, and Morphometry of Hippocampal Subfields and Medial Prefrontal Cortex in Major Depression. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

12.

Treadway, Michael T., Michael Waskom, Daniel G. Dillon, et al.. (2014). Illness Progression, Recent Stress, and Morphometry of Hippocampal Subfields and Medial Prefrontal Cortex in Major Depression. Biological Psychiatry. 77(3). 285–294. 250 indexed citations

13.

Waskom, Michael, et al.. (2014). Frontoparietal Representations of Task Context Support the Flexible Control of Goal-Directed Cognition. Journal of Neuroscience. 34(32). 10743–10755. 100 indexed citations

14.

Thompson, Todd W., Michael Waskom, Carlos Cardenas‐Iniguez, et al.. (2013). Failure of Working Memory Training to Enhance Cognition or Intelligence. PLoS ONE. 8(5). e63614–e63614. 161 indexed citations

15.

Gorgolewski, Krzysztof J., Cindee Madison, Dav Clark, et al.. (2011). Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python. Frontiers in Neuroinformatics. 5. 13–13. 1258 indexed citations breakdown →

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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