Michael J. Frank

1.3k total citations · 1 hit paper
5 papers, 761 citations indexed

About

Michael J. Frank is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Michael J. Frank has authored 5 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 1 paper in Social Psychology. Recurrent topics in Michael J. Frank's work include Functional Brain Connectivity Studies (2 papers), Mental Health Research Topics (2 papers) and Neurological disorders and treatments (1 paper). Michael J. Frank is often cited by papers focused on Functional Brain Connectivity Studies (2 papers), Mental Health Research Topics (2 papers) and Neurological disorders and treatments (1 paper). Michael J. Frank collaborates with scholars based in United States and Norway. Michael J. Frank's co-authors include Thomas V. Wiecki, Xiaoxi Zhuang, Jeff A. Beeler, John McDaid, Daniel S. McGehee, Susie Turkson, Erin Alexander, Shannon M. Suldo, Linda M. Raffaele Mendez and Mads L. Pedersen and has published in prestigious journals such as Biological Psychiatry, Cell Reports and Social Indicators Research.

In The Last Decade

Michael J. Frank

5 papers receiving 751 citations

Hit Papers

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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.

HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python

2013 656 citations Thomas V. Wiecki, Michael J. Frank et al. Frontiers in Neuroinformatics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael J. Frank	513	184	93	88	63	5	761
Payam Piray	508 1.0×	186 1.0×	88 0.9×	55 0.6×	157 2.5×	20	767
Jacqueline Scholl	599 1.2×	138 0.8×	63 0.7×	82 0.9×	83 1.3×	25	759
Mel Win Khaw	861 1.7×	242 1.3×	226 2.4×	128 1.5×	56 0.9×	20	1.2k
Archy O. de Berker	746 1.5×	148 0.8×	55 0.6×	95 1.1×	93 1.5×	15	1.0k
Reka Daniel	582 1.1×	142 0.8×	64 0.7×	66 0.8×	73 1.2×	9	757
Mathieu Servant	568 1.1×	102 0.6×	95 1.0×	102 1.2×	26 0.4×	26	706
Anna‐Lena Schubert	578 1.1×	411 2.2×	54 0.6×	66 0.8×	47 0.7×	57	1.1k
Adrian G. Fischer	750 1.5×	170 0.9×	84 0.9×	122 1.4×	170 2.7×	34	1.1k
Ching-Hung Lin	296 0.6×	114 0.6×	171 1.8×	46 0.5×	57 0.9×	22	551
Jeffrey Cockburn	600 1.2×	151 0.8×	73 0.8×	61 0.7×	72 1.1×	16	824

Countries citing papers authored by Michael J. Frank

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Frank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Frank

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

All Works

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5 of 5 papers shown

1.

Pedersen, Mads L., et al.. (2022). P528. Computational Modeling of Reward Learning in Schizophrenia Using the Reinforcement Learning Drift Diffusion Model (RLDDM). Biological Psychiatry. 91(9). S302–S303. 2 indexed citations

2.

Mendez, Linda M. Raffaele, et al.. (2015). Engaging Struggling Early Readers to Promote Reading Success: A Pilot Study of Reading by Design. Reading & Writing Quarterly. 32(3). 273–297. 6 indexed citations

3.

Wiecki, Thomas V., et al.. (2013). HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python. Frontiers in Neuroinformatics. 7. 14–14. 656 indexed citations breakdown →

4.

Suldo, Shannon M., et al.. (2013). American High School Students’ Perceptions of Determinants of Life Satisfaction. Social Indicators Research. 118(2). 485–514. 27 indexed citations

5.

Beeler, Jeff A., Michael J. Frank, John McDaid, et al.. (2012). A Role for Dopamine-Mediated Learning in the Pathophysiology and Treatment of Parkinson’s Disease. Cell Reports. 2(6). 1747–1761. 70 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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