Stephen M. Mattingly

25 papers receiving 494 citations

Peers

Stephen M. Mattingly
Comparison fields: 5 of 78
  • Experimental and Cognitive Psychology 248
  • Cognitive Neuroscience 140
  • Applied Psychology 96
  • Sociology and Political Science 69
  • Social Psychology 66
Replace Gonzalo J. Martinez with:
Gonzalo J. Martinez United States
Kaya de Barbaro United States
Talayeh Aledavood Finland
Siska Fitrianie Netherlands
Daniel A. Adler United States
Daniella K. Villalba United States
Vincent W.-S. Tseng United States
Brandon M. Booth United States
Jean Costa United States
Natalie Kanakam United Kingdom
Stephen M. Mattingly relative to Gonzalo J. Martinez United States Gonzalo J. Martinez's profile →
Citations per field
00.5×
Gonzalo J. Martinez · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 19
2 4
3 23
4 21
5 26
6 10
7 17
8 13
9 3
10 70
11 8
12 1
13 2
14 30
15 0
16 15
17 27
18 5
19 48
20 72

About Stephen M. Mattingly

Stephen M. Mattingly is a scholar working on Applied Psychology, Experimental and Cognitive Psychology and Transportation, having authored 26 papers that have together received 505 indexed citations. Recurring topics across this work include Sleep and related disorders (8 papers), Mental Health Research Topics (8 papers) and Digital Mental Health Interventions (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (248 citations), Applied Psychology (96 citations) and Cognitive Neuroscience (140 citations). Stephen M. Mattingly has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Gonzalo J. Martinez, Aaron Striegel, Gloria Mark, Munmun De Choudhury, Ted Grover, David Hachen, Jessica D. Payne, Pablo Robles-Granda, Talayeh Aledavood and Nitesh V. Chawla. Their work appears in journals such as Proceedings of the National Academy of Sciences, SLEEP and Neurobiology of Learning and Memory.

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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