David W. Frank

24 total papers · 1.1k total citations
16 papers, 812 citations indexed

About

David W. Frank is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David W. Frank has authored 16 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in David W. Frank's work include Neural and Behavioral Psychology Studies (11 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (5 papers). David W. Frank is often cited by papers focused on Neural and Behavioral Psychology Studies (11 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (5 papers). David W. Frank collaborates with scholars based in United States, Canada and Italy. David W. Frank's co-authors include Dean Sabatinelli, Andreas Keil, Peter J. Lang, Laura M. Smart, Ahmed A. Hussein, B. Hunter Ball, Nikolaus Schwarz, Matthew E. Hudgens‐Haney, Bhim M. Adhikari and John Polich and has published in prestigious journals such as Journal of Neurophysiology, Scientific Reports and Brain Research.

In The Last Decade

David W. Frank

16 papers receiving 803 citations

Author Peers

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

Author						Papers	Cites
David W. Frank	560	320	164	111	86	16	812
Jamie Ferri	488 0.9×	304 0.9×	150 0.9×	106 1.0×	96 1.1×	18	773
Tina Kaffenberger	437 0.8×	356 1.1×	177 1.1×	112 1.0×	128 1.5×	22	799
Jamil P. Bhanji	657 1.2×	386 1.2×	156 1.0×	182 1.6×	139 1.6×	21	1.0k
Sarah Sass	482 0.9×	343 1.1×	203 1.2×	137 1.2×	64 0.7×	24	770
Jacqueline C. Hairston	560 1.0×	231 0.7×	133 0.8×	90 0.8×	112 1.3×	8	772
Yuelu Liu	718 1.3×	220 0.7×	79 0.5×	95 0.9×	52 0.6×	19	870
Alexandru D. Iordan	644 1.1×	368 1.1×	118 0.7×	102 0.9×	84 1.0×	34	926
Hans-Joachim Mentzel	627 1.1×	478 1.5×	100 0.6×	78 0.7×	123 1.4×	16	848
Fátima Smith Erthal	419 0.7×	272 0.8×	177 1.1×	142 1.3×	91 1.1×	29	759
Stephanie Schmidt	505 0.9×	188 0.6×	112 0.7×	133 1.2×	124 1.4×	31	717

Countries citing papers authored by David W. Frank

Since Specialization

Citations

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

Fields of papers citing papers by David W. Frank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Frank

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Frank. A scholar is included among the top collaborators of David W. 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 David W. Frank. David W. 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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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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