Michelle Miller

47 total papers · 1.1k total citations
29 papers, 670 citations indexed

About

Michelle Miller is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Michelle Miller has authored 29 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 9 papers in Developmental and Educational Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Michelle Miller's work include Neurobiology of Language and Bilingualism (7 papers), Scientific Computing and Data Management (4 papers) and Distributed and Parallel Computing Systems (4 papers). Michelle Miller is often cited by papers focused on Neurobiology of Language and Bilingualism (7 papers), Scientific Computing and Data Management (4 papers) and Distributed and Parallel Computing Systems (4 papers). Michelle Miller collaborates with scholars based in United States and Germany. Michelle Miller's co-authors include Donald G. MacKay, K. Laurie Dickson, Randi C. Martin, Charles Hansen, S. Parker, Chris R. Johnson, Jack Dongarra, Dorian Arnold, Zhiao Shi and Sathish Vadhiyar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Science and Psychology and Aging.

In The Last Decade

Michelle Miller

28 papers receiving 605 citations

Author Peers

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

Author Last Decade Papers Cites
Michelle Miller 199 167 136 96 95 29 670
Linda K. Cook 57 0.3× 35 0.2× 261 1.9× 18 0.2× 97 1.0× 23 559
Richard Wilton 41 0.2× 186 1.1× 141 1.0× 50 0.5× 89 0.9× 53 612
Andreas Hergovich 134 0.7× 112 0.7× 88 0.6× 5 0.1× 125 1.3× 36 737
Veronika Konok 230 1.2× 59 0.4× 16 0.1× 6 0.1× 96 1.0× 17 646
Lies Declercq 22 0.1× 117 0.7× 175 1.3× 6 0.1× 83 0.9× 17 662
John P. Pollak 128 0.6× 24 0.1× 22 0.2× 15 0.2× 67 0.7× 16 726
Kirsten Cater 16 0.1× 130 0.8× 77 0.6× 9 0.1× 33 0.3× 49 600
Theano Moussouri 12 0.1× 33 0.2× 40 0.3× 21 0.2× 56 0.6× 35 670
Sarah Webber 184 0.9× 30 0.2× 19 0.1× 4 0.0× 35 0.4× 37 597
Kira J. Carbonneau 12 0.1× 51 0.3× 259 1.9× 7 0.1× 142 1.5× 52 790

Countries citing papers authored by Michelle Miller

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Miller. A scholar is included among the top collaborators of Michelle Miller 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 Michelle Miller. Michelle Miller 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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