Michelle Mattingly

15 total papers · 514 total citations
11 papers, 377 citations indexed

About

Michelle Mattingly is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Michelle Mattingly has authored 11 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Psychiatry and Mental health and 3 papers in Neurology. Recurrent topics in Michelle Mattingly's work include Sleep and Wakefulness Research (2 papers), Neurological disorders and treatments (2 papers) and Neurobiology of Language and Bilingualism (2 papers). Michelle Mattingly is often cited by papers focused on Sleep and Wakefulness Research (2 papers), Neurological disorders and treatments (2 papers) and Neurobiology of Language and Bilingualism (2 papers). Michelle Mattingly collaborates with scholars based in United States and Russia. Michelle Mattingly's co-authors include Frederick A. Schmitt, Kevin R. Nelson, Sherman A. Lee, Mike R. Schoenberg, David L. Nyenhuis, Clifford A. Smith, Christopher L. Grote, David C. Garron, Melody Ryan and Kimberly K. Daugherty and has published in prestigious journals such as Neurology, Dementia and Geriatric Cognitive Disorders and Journal of Clinical and Experimental Neuropsychology.

In The Last Decade

Michelle Mattingly

11 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Michelle Mattingly	128	100	97	92	59	11	377
Kevin W. Walsh	102 0.8×	174 1.7×	26 0.3×	141 1.5×	26 0.4×	9	446
Roy S. Fowler	99 0.8×	159 1.6×	24 0.2×	35 0.4×	56 0.9×	15	412
Roy C. Grzesiak	144 1.1×	78 0.8×	19 0.2×	77 0.8×	41 0.7×	11	413
Allyson Haut	102 0.8×	32 0.3×	50 0.5×	40 0.4×	52 0.9×	10	412
Janice Nici	143 1.1×	152 1.5×	21 0.2×	63 0.7×	22 0.4×	9	442
Margaret Cadden	84 0.7×	90 0.9×	22 0.2×	36 0.4×	58 1.0×	16	432
Eben S. Schwartz	100 0.8×	73 0.7×	15 0.2×	136 1.5×	26 0.4×	13	442
Swanson Dw	116 0.9×	47 0.5×	24 0.2×	30 0.3×	42 0.7×	16	338
John Douglas Mann	149 1.2×	44 0.4×	20 0.2×	73 0.8×	46 0.8×	15	422
Max J. Stern	42 0.3×	80 0.8×	32 0.3×	135 1.5×	40 0.7×	14	366

Countries citing papers authored by Michelle Mattingly

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Mattingly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Mattingly

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