Michael C. Riedel

425 total citations
9 papers, 173 citations indexed

About

Michael C. Riedel is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael C. Riedel has authored 9 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 1 paper in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Michael C. Riedel's work include Functional Brain Connectivity Studies (7 papers), Neural and Behavioral Psychology Studies (4 papers) and Neural dynamics and brain function (3 papers). Michael C. Riedel is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neural and Behavioral Psychology Studies (4 papers) and Neural dynamics and brain function (3 papers). Michael C. Riedel collaborates with scholars based in United States, Canada and Germany. Michael C. Riedel's co-authors include Angela R. Laird, Matthew T. Sutherland, Taylor Salo, Simon B. Eickhoff, Suzanne T. Witt, Helene van Ettinger-Veenstra, Jessica S. Flannery, Katherine L. Bottenhorn, Emily R. Boeving and Julio A. Yanes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Cerebral Cortex.

In The Last Decade

Michael C. Riedel

8 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael C. Riedel United States	7	124	50	26	22	15	9	173
Jacqueline K. Harris Canada	9	124 1.0×	44 0.9×	50 1.9×	26 1.2×	11 0.7×	16	208
Maheen Shermohammed United States	5	153 1.2×	53 1.1×	31 1.2×	15 0.7×	19 1.3×	5	222
M. Justin Kim United States	2	164 1.3×	49 1.0×	68 2.6×	21 1.0×	21 1.4×	2	195
Caroline Diehl United States	6	101 0.8×	34 0.7×	29 1.1×	40 1.8×	23 1.5×	16	160
Kinga Farkas Hungary	7	123 1.0×	27 0.5×	13 0.5×	35 1.6×	13 0.9×	33	169
Christiana Westlin United States	5	91 0.7×	51 1.0×	11 0.4×	39 1.8×	12 0.8×	10	175
Philipp Riedel Germany	9	198 1.6×	83 1.7×	41 1.6×	47 2.1×	19 1.3×	20	245
Kamil Bonna Poland	4	235 1.9×	50 1.0×	40 1.5×	19 0.9×	8 0.5×	4	256
Anders Perrone United States	8	114 0.9×	24 0.5×	26 1.0×	44 2.0×	31 2.1×	14	175
Rick P.F. Wolthusen United States	7	78 0.6×	38 0.8×	11 0.4×	41 1.9×	22 1.5×	15	143

Countries citing papers authored by Michael C. Riedel

Since Specialization

Citations

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

Fields of papers citing papers by Michael C. Riedel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Riedel

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

All Works

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9 of 9 papers shown

Riedel, Michael C., et al.. (2023). Graded functional organization in the left inferior frontal gyrus: evidence from task-free and task-based functional connectivity. Cerebral Cortex. 33(23). 11384–11399. 9 indexed citations

Bottenhorn, Katherine L., Taylor Salo, Michael C. Riedel, et al.. (2023). Denoising physiological data collected during multi-band, multi-echo EPI sequences. SHILAP Revista de lepidopterología. 3.

Flannery, Jessica S., Michael C. Riedel, Katherine L. Bottenhorn, et al.. (2022). Altered large-scale brain network interactions associated with HIV infection and error processing. Network Neuroscience. 6(3). 791–815. 7 indexed citations

Witt, Suzanne T., Helene van Ettinger-Veenstra, Taylor Salo, Michael C. Riedel, & Angela R. Laird. (2021). What Executive Function Network is that? An Image-Based Meta-Analysis of Network Labels. Brain Topography. 34(5). 598–607. 48 indexed citations

Bottenhorn, Katherine L., Timothy Hayes, Michael C. Riedel, et al.. (2019). Sex differences in brain correlates of STEM anxiety. npj Science of Learning. 4(1). 18–18. 4 indexed citations

Riedel, Michael C., Taylor Salo, Emily R. Boeving, et al.. (2019). Brain activity links performance in science reasoning with conceptual approach. npj Science of Learning. 4(1). 20–20. 8 indexed citations

Flannery, Jessica S., Michael C. Riedel, Angela R. Laird, et al.. (2019). Habenular and striatal activity during performance feedback are differentially linked with state-like and trait-like aspects of tobacco use disorder. Science Advances. 5(10). eaax2084–eaax2084. 16 indexed citations

Bottenhorn, Katherine L., Jessica S. Flannery, Emily R. Boeving, et al.. (2018). Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results. Network Neuroscience. 3(1). 27–48. 44 indexed citations

Riedel, Michael C., Julio A. Yanes, Kimberly L. Ray, et al.. (2018). Dissociable meta‐analytic brain networks contribute to coordinated emotional processing. Human Brain Mapping. 39(6). 2514–2531. 37 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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