Clifford D. Saron

8.9k total citations · 3 hit papers
69 papers, 6.1k citations indexed

About

Clifford D. Saron is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Clifford D. Saron has authored 69 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 26 papers in Clinical Psychology and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Clifford D. Saron's work include Mindfulness and Compassion Interventions (24 papers), Neural and Behavioral Psychology Studies (14 papers) and Autism Spectrum Disorder Research (11 papers). Clifford D. Saron is often cited by papers focused on Mindfulness and Compassion Interventions (24 papers), Neural and Behavioral Psychology Studies (14 papers) and Autism Spectrum Disorder Research (11 papers). Clifford D. Saron collaborates with scholars based in United States, Australia and Israel. Clifford D. Saron's co-authors include Richard J. Davidson, Paul Ekman, Wallace V. Friesen, Anthony P. Zanesco, Brandon G. King, Carrie E. Schaffer, Katherine A. MacLean, Antoine Lutz, Amishi P. Jha and John D. Dunne and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Clifford D. Saron

67 papers receiving 5.8k citations

Hit Papers

Approach-withdrawal and c... 1990 2026 2002 2014 1990 2017 2015 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Clifford D. Saron United States 35 3.0k 2.7k 1.9k 1.3k 469 69 6.1k
Jochen Weber United States 36 3.7k 1.2× 2.3k 0.9× 2.7k 1.4× 1.4k 1.1× 894 1.9× 73 7.0k
Heleen A. Slagter Netherlands 39 5.0k 1.6× 2.8k 1.0× 2.3k 1.2× 1.2k 0.9× 767 1.6× 102 7.7k
Moria J. Smoski United States 39 2.6k 0.9× 3.0k 1.1× 2.7k 1.4× 1.4k 1.0× 681 1.5× 85 6.7k
Scott R. Vrana United States 39 1.7k 0.6× 2.3k 0.8× 1.9k 1.0× 1.1k 0.9× 424 0.9× 86 5.2k
Alexander J. Shackman United States 37 4.0k 1.3× 1.5k 0.5× 2.4k 1.2× 1.2k 0.9× 725 1.5× 73 6.6k
Heather L. Urry United States 28 2.3k 0.8× 1.6k 0.6× 2.3k 1.2× 1.7k 1.3× 451 1.0× 55 5.8k
Michael W. Vasey United States 41 1.7k 0.6× 3.0k 1.1× 3.0k 1.6× 1.1k 0.8× 510 1.1× 110 6.6k
Jack B. Nitschke United States 37 4.5k 1.5× 1.7k 0.6× 3.4k 1.7× 1.4k 1.1× 847 1.8× 54 7.9k
Hillary S. Schaefer United States 15 2.7k 0.9× 1.6k 0.6× 1.5k 0.8× 1.1k 0.9× 593 1.3× 22 4.5k
Merel Kindt Netherlands 57 5.5k 1.8× 3.0k 1.1× 3.4k 1.7× 1.8k 1.4× 538 1.1× 198 9.4k

Countries citing papers authored by Clifford D. Saron

Since Specialization
Citations

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

Fields of papers citing papers by Clifford D. Saron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clifford D. Saron. 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 Clifford D. Saron. The network helps show where Clifford D. Saron may publish in the future.

Co-authorship network of co-authors of Clifford D. Saron

This figure shows the co-authorship network connecting the top 25 collaborators of Clifford D. Saron. A scholar is included among the top collaborators of Clifford D. Saron 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 Clifford D. Saron. Clifford D. Saron 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
2.
Dwyer, Patrick, et al.. (2023). Habituation of auditory responses in young autistic and neurotypical children. Autism Research. 16(10). 1903–1923. 4 indexed citations
3.
King, Brandon G., et al.. (2023). Cultivating concern for others: Meditation training and motivated engagement with human suffering.. Journal of Experimental Psychology General. 152(10). 2897–2924. 1 indexed citations
4.
King, Brandon G., et al.. (2022). Shifting Baselines: Longitudinal Reductions in EEG Beta Band Power Characterize Resting Brain Activity with Intensive Meditation. Mindfulness. 13(10). 2488–2506. 5 indexed citations
5.
Dwyer, Patrick, et al.. (2022). “Neural Noise” in Auditory Responses in Young Autistic and Neurotypical Children. Journal of Autism and Developmental Disorders. 54(2). 642–661. 7 indexed citations
8.
Dwyer, Patrick, et al.. (2021). Effects of age on loudness-dependent auditory ERPs in young autistic and typically-developing children. Neuropsychologia. 156. 107837–107837. 10 indexed citations
9.
Dwyer, Patrick, Clifford D. Saron, & Susan M. Rivera. (2020). Identification of Longitudinal Sensory Subtypes in Typical Development and Autism Spectrum Development Using Growth Mixture Modelling. Research in autism spectrum disorders. 78. 101645–101645. 20 indexed citations
10.
Zanesco, Anthony P., et al.. (2019). Modulation of Event-related Potentials of Visual Discrimination by Meditation Training and Sustained Attention. Journal of Cognitive Neuroscience. 31(8). 1184–1204. 17 indexed citations
11.
King, Brandon G., et al.. (2017). Studies of Training Compassion. Oxford University Press eBooks. 6 indexed citations
12.
Saggar, Manish, Anthony P. Zanesco, Brandon G. King, et al.. (2015). Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. NeuroImage. 114. 88–104. 20 indexed citations
13.
Aschbacher, Kirstin, et al.. (2014). Effects of Early Adversity and Stress Vulnerability on Treatment Response to Mindfulness-Based Stress Reduction. The Journal of Alternative and Complementary Medicine. 20(5). A51–A51. 1 indexed citations
14.
Jacobs, Tonya L., Phillip R. Shaver, Elissa Epel, et al.. (2013). Self-reported mindfulness and cortisol during a Shamatha meditation retreat.. Health Psychology. 32(10). 1104–1109. 50 indexed citations
15.
Sahdra, Baljinder K., Katherine A. MacLean, Emilio Ferrer, et al.. (2011). Enhanced response inhibition during intensive meditation training predicts improvements in self-reported adaptive socioemotional functioning.. Emotion. 11(2). 299–312. 141 indexed citations
16.
Saggar, Manish, Stephen Aichele, Tonya L. Jacobs, et al.. (2010). A computational approach to understanding the longitudinal changes in cortical activity associated with intensive meditation training. BMC Neuroscience. 11(S1). 45 indexed citations
17.
Marfella, Raffaele, Federico Cacciapuoti, Monica Siniscalchi, et al.. (2006). Effect of moderate red wine intake on cardiac prognosis after recent acute myocardial infarction of subjects with Type 2 diabetes mellitus. Diabetic Medicine. 23(9). 974–981. 83 indexed citations
18.
Saint‐Amour, Dave, Clifford D. Saron, Charles E. Schroeder, & John J. Foxe. (2005). Can whole brain nerve conduction velocity be derived from surface-recorded visual evoked potentials?. Neuropsychologia. 43(12). 1838–1844. 12 indexed citations
19.
Cohen, Barry H, et al.. (1992). Muscle tension patterns during auditory attention. Biological Psychology. 33(2-3). 133–156. 61 indexed citations
20.
Saron, Clifford D. & Richard J. Davidson. (1989). Visual evoked potential measures of interhemispheric transfer time in humans.. Behavioral Neuroscience. 103(5). 1115–1138. 132 indexed citations

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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