Stephen M. Malone

7.0k citations
107 papers · 3.6k · h-index 34

Impact in

Papers in

    • Functional Brain Connectivity Studies 18
    • Neural and Behavioral Psychology Studies 15
    • EEG and Brain-Computer Interfaces 14
    • Child and Adolescent Psychosocial and Emotional Development 18

Stephen M. Malone

102 papers receiving 3.5k citations

Peers

Stephen M. Malone
Comparison fields: 5 of 104
  • Cognitive Neuroscience 1.2k
  • Experimental and Cognitive Psychology 609
  • Clinical Psychology 938
  • Psychiatry and Mental health 593
  • Behavioral Neuroscience 87
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Citations per year

Countries citing papers authored by Stephen M. Malone

Since Specialization
Citations

This map shows the geographic impact of Stephen M. Malone'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. Malone 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. Malone more than expected).

Fields of papers citing papers by Stephen M. Malone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen M. Malone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen M. Malone Line = papers co-authored together Stephen M. Malone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008411
2 2002219
3 2013176
4 2003170
5 2006158
6 2004127
7 2006100
8 200990
9 201083
10 200973
11 201165
12 200958
13 199358
14 201657
15 200455
16
Coping with aversive stimulation in the neonatal period: quiet sleep and plasma cortisol levels during recovery from circumcision.
198555
17 201752
18 200952
19 200251
20 200250

About Stephen M. Malone

Stephen M. Malone is a scholar working on Cognitive Neuroscience, Clinical Psychology, Psychiatry and Mental health, Experimental and Cognitive Psychology and Epidemiology, having authored 107 papers that have together received 3.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (18 papers), Child and Adolescent Psychosocial and Emotional Development (18 papers), Neural and Behavioral Psychology Studies (15 papers), Attention Deficit Hyperactivity Disorder (15 papers), EEG and Brain-Computer Interfaces (14 papers), Substance Abuse Treatment and Outcomes (13 papers), Cognitive Abilities and Testing (12 papers) and Genetic Associations and Epidemiology (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Experimental and Cognitive Psychology (609 citations), Clinical Psychology (938 citations), Psychiatry and Mental health (593 citations) and Behavioral Neuroscience (87 citations). Stephen M. Malone has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include William G. Iacono, Matt McGue, Edward M. Bernat, Jeremy Harper, Naomi R. Marmorstein, Scott R. Carlson, Matthew McGue, Scott Vrieze, Uma Vaidyanathan and Christopher J. Patrick. Their work appears in journals such as Psychophysiology, Psychological Medicine, International Journal of Psychophysiology, Biological Psychiatry and Biological Psychology.

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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