Stephen M. Mattingly

42 total papers · 998 total citations
26 papers, 498 citations indexed

About

Stephen M. Mattingly is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Cognitive Neuroscience. According to data from OpenAlex, Stephen M. Mattingly has authored 26 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Experimental and Cognitive Psychology, 8 papers in Applied Psychology and 7 papers in Cognitive Neuroscience. Recurrent topics in Stephen M. Mattingly's work include Mental Health Research Topics (8 papers), Sleep and related disorders (8 papers) and Digital Mental Health Interventions (6 papers). Stephen M. Mattingly is often cited by papers focused on Mental Health Research Topics (8 papers), Sleep and related disorders (8 papers) and Digital Mental Health Interventions (6 papers). Stephen M. Mattingly collaborates with scholars based in United States, Finland and United Kingdom. Stephen M. Mattingly's co-authors include Aaron Striegel, Gonzalo J. Martinez, Gloria Mark, Munmun De Choudhury, David Hachen, Pablo Robles-Granda, Talayeh Aledavood, Ted Grover, Jessica D. Payne and Louis Faust and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SLEEP and Neurobiology of Learning and Memory.

In The Last Decade

Stephen M. Mattingly

25 papers receiving 488 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen M. Mattingly 244 138 96 69 66 26 498
Michitaka Yoshimura 232 1.0× 127 0.9× 76 0.8× 121 1.8× 63 1.0× 17 551
Davide Morelli 177 0.7× 93 0.7× 78 0.8× 34 0.5× 65 1.0× 37 522
Talayeh Aledavood 157 0.6× 47 0.3× 91 0.9× 121 1.8× 49 0.7× 23 499
Jean CJ Liu 136 0.6× 104 0.8× 24 0.3× 104 1.5× 77 1.2× 28 457
Luca Menghini 259 1.1× 202 1.5× 37 0.4× 17 0.2× 52 0.8× 22 540
Jean Costa 151 0.6× 139 1.0× 95 1.0× 48 0.7× 120 1.8× 29 509
Brian D. Glass 180 0.7× 196 1.4× 68 0.7× 64 0.9× 93 1.4× 19 541
Richard Carciofo 361 1.5× 248 1.8× 37 0.4× 46 0.7× 98 1.5× 25 589
Pennie S. Seibert 176 0.7× 200 1.4× 29 0.3× 58 0.8× 88 1.3× 23 566
Kfir Asraf 167 0.7× 62 0.4× 72 0.8× 24 0.3× 113 1.7× 28 561

Countries citing papers authored by Stephen M. Mattingly

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Mattingly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Mattingly

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