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Thomas V. Petros
ResearcherPublications, citations & collaboration network
Thomas V. Petros is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 119 works, 2,418 citations, an h-index of 27 and an i10-index of 50.
119
Works
2,418
Citations
27
h-index
50
i10-index
IDs:OpenAlex
How has Thomas V. Petros's publication output changed over time?
ScholarIQpublication output · 1982–2023
Output grew0% over the shown period — from 1 works in 1982 to 1 in 2023.
1
1
1
1
1
1
1
1
1
1
1982198619901991199719992000200620142023
What are the most-cited papers on Thomas V. Petros?
ScholarIQmost cited works
An analysis of the “eveningness–morningness” dimension in “depressive” college students
Iwona Chelminski, F. Richard Ferraro, Thomas V. Petros, Joseph J. Plaud
Journal of Affective Disorders. 1999243 Citations
Effects of transdermal nicotine on attention in adult non-smokers with and without attentional deficits
Dmitri Poltavski, Thomas V. Petros
Physiology & Behavior. 2006111 Citations
Psychometric properties of the reduced Horne and Ostberg questionnaire
Iwona Chelminski, Thomas V. Petros, Joseph J. Plaud, F. Richard Ferraro
S151331055. 2000109 Citations
Individual differences in the effects of time of day and passage difficulty on prose memory in adults
Thomas V. Petros, Bill E. Beckwith, Maureen J. Anderson
S179213746. 1990103 Citations
Using machine learning methods and EEG to discriminate aircraft pilot cognitive workload during flight
Hamed Taheri Gorji, Nicholas Wilson, Jessica VanBree, Bradley Hoffmann, Thomas V. Petros, Kouhyar Tavakolian
Scientific Reports. 202397 CitationsOPEN ACCESS
Related on ScholarIQ
University of North Dakota
Institution
An analysis of the “eveningness–morningness” dimension in “depressive” college students
Paper
Effects of transdermal nicotine on attention in adult non-smokers with and without attentional deficits
Paper
Psychometric properties of the reduced Horne and Ostberg questionnaire
Paper
Individual differences in the effects of time of day and passage difficulty on prose memory in adults
Paper
Using machine learning methods and EEG to discriminate aircraft pilot cognitive workload during flight
Paper