Christopher G. Beevers

12.0k total citations · 2 hit papers
156 papers, 7.7k citations indexed

About

Christopher G. Beevers is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Christopher G. Beevers has authored 156 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Experimental and Cognitive Psychology, 61 papers in Clinical Psychology and 51 papers in Cognitive Neuroscience. Recurrent topics in Christopher G. Beevers's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (78 papers), Mental Health Research Topics (70 papers) and Child and Adolescent Psychosocial and Emotional Development (43 papers). Christopher G. Beevers is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (78 papers), Mental Health Research Topics (70 papers) and Child and Adolescent Psychosocial and Emotional Development (43 papers). Christopher G. Beevers collaborates with scholars based in United States, United Kingdom and Netherlands. Christopher G. Beevers's co-authors include Tony T. Wells, Seth G. Disner, Aaron T. Beck, Emily A. P. Haigh, Alissa J. Ellis, Björn Meyer, Ivan W. Miller, John E. McGeary, David M. Schnyer and Michael C Mullarkey and has published in prestigious journals such as Journal of Neuroscience, Nature reviews. Neuroscience and PLoS ONE.

In The Last Decade

Christopher G. Beevers

150 papers receiving 7.5k citations

Hit Papers

Neural mechanisms of the cognitive model of depression 2011 2026 2016 2021 2011 2018 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
Christopher G. Beevers United States 48 4.3k 3.2k 2.3k 1.2k 914 156 7.7k
Tomas Furmark Sweden 53 4.3k 1.0× 2.9k 0.9× 2.8k 1.2× 1.2k 1.0× 1.7k 1.9× 136 8.0k
Frenk Peeters Netherlands 52 4.6k 1.1× 3.3k 1.0× 1.7k 0.7× 1.4k 1.2× 1.2k 1.3× 157 8.2k
Eni S. Becker Netherlands 46 4.6k 1.1× 4.0k 1.2× 2.7k 1.2× 1.5k 1.3× 1.5k 1.7× 263 9.1k
Jasper A. J. Smits United States 52 4.9k 1.1× 5.8k 1.8× 2.3k 1.0× 1.7k 1.4× 1.7k 1.8× 226 10.7k
Erika E. Forbes United States 59 4.6k 1.1× 4.7k 1.5× 3.8k 1.6× 1.8k 1.4× 622 0.7× 218 10.3k
Jonathan Rottenberg United States 39 4.4k 1.0× 4.0k 1.3× 1.4k 0.6× 1.8k 1.5× 877 1.0× 104 8.2k
Franklin R. Schneier United States 57 6.4k 1.5× 6.2k 1.9× 1.9k 0.8× 1.7k 1.4× 546 0.6× 145 10.3k
Philippe R. Goldin United States 47 5.1k 1.2× 5.5k 1.7× 3.2k 1.4× 2.1k 1.7× 715 0.8× 106 9.6k
Hedy Kober United States 44 3.5k 0.8× 3.7k 1.2× 5.4k 2.3× 1.8k 1.5× 817 0.9× 105 10.6k
Moria J. Smoski United States 39 2.7k 0.6× 3.0k 0.9× 2.6k 1.1× 1.4k 1.1× 398 0.4× 85 6.7k

Countries citing papers authored by Christopher G. Beevers

Since Specialization
Citations

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

Fields of papers citing papers by Christopher G. Beevers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Beevers. 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 Christopher G. Beevers. The network helps show where Christopher G. Beevers may publish in the future.

Co-authorship network of co-authors of Christopher G. Beevers

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher G. Beevers. A scholar is included among the top collaborators of Christopher G. Beevers 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 Christopher G. Beevers. Christopher G. Beevers 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
1.
McNamara, Mary, Jason Shumake, & Christopher G. Beevers. (2025). Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking. PLoS ONE. 20(4). e0318923–e0318923.
2.
Pearson, Rahel, Christopher G. Beevers, Joseph Mignogna, et al.. (2024). The Evaluation of a Web-Based Intervention (Deprexis) to Decrease Depression and Restore Functioning in Veterans: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 13. e59119–e59119.
3.
McNamara, Mary & Christopher G. Beevers. (2024). Measurement properties of web-based attentional bias in depression with cursor-directed aperture in online studies.. Translational Issues in Psychological Science. 10(3). 346–363. 1 indexed citations
4.
Dainer‐Best, Justin, et al.. (2024). Negative self-referent cognition predicts future depression symptom change: an intensive sampling approach. Cognition & Emotion. 39(4). 829–843. 3 indexed citations
5.
McGeary, John E., et al.. (2023). Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes. Scientific Reports. 13(1). 6534–6534. 2 indexed citations
6.
Mullarkey, Michael C, Mallory Dobias, Jenna Sung, et al.. (2022). Web-Based Single Session Intervention for Perceived Control Over Anxiety During COVID-19: Randomized Controlled Trial. JMIR Mental Health. 9(4). e33473–e33473. 9 indexed citations
7.
McNamara, Mary, et al.. (2022). Not just “big” data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions. Behaviour Research and Therapy. 153. 104086–104086. 27 indexed citations
8.
Barczyk, Amanda N., R. Cameron Craddock, Gabriella M. Harari, et al.. (2021). Improving prediction of real-time loneliness and companionship type using geosocial features of personal smartphone data. Smart Health. 20. 100180–100180. 20 indexed citations
9.
Beevers, Christopher G., Kean J. Hsu, David M. Schnyer, Jasper A. J. Smits, & Jason Shumake. (2021). Change in negative attention bias mediates the association between attention bias modification training and depression symptom improvement.. Journal of Consulting and Clinical Psychology. 89(10). 816–829. 12 indexed citations
10.
Beevers, Christopher G., Michael C Mullarkey, Justin Dainer‐Best, et al.. (2019). Association between negative cognitive bias and depression: A symptom-level approach.. Journal of Abnormal Psychology. 128(3). 212–227. 88 indexed citations
11.
Dainer‐Best, Justin, Seth G. Disner, John E. McGeary, Bethany Hamilton, & Christopher G. Beevers. (2018). Negative self-referential processing is associated with genetic variation in the serotonin transporter-linked polymorphic region (5-HTTLPR): Evidence from two independent studies. PLoS ONE. 13(6). e0198950–e0198950. 11 indexed citations
12.
Papini, Santiago, Derek Pisner, Jason Shumake, et al.. (2018). Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization. Journal of Anxiety Disorders. 60. 35–42. 46 indexed citations
13.
Dainer‐Best, Justin, Hae Yeon Lee, Jason Shumake, David S. Yeager, & Christopher G. Beevers. (2018). Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.. Psychological Assessment. 30(11). 1527–1540. 43 indexed citations
14.
Beevers, Christopher G., et al.. (2017). Effectiveness of an internet intervention (Deprexis) for depression in a United States adult sample: A parallel-group pragmatic randomized controlled trial.. Journal of Consulting and Clinical Psychology. 85(4). 367–380. 50 indexed citations
15.
Dainer‐Best, Justin, Logan Trujillo, David M. Schnyer, & Christopher G. Beevers. (2017). Sustained engagement of attention is associated with increased negative self-referent processing in major depressive disorder. Biological Psychology. 129. 231–241. 39 indexed citations
16.
Davis, Michelle L., David Rosenfield, Amit Bernstein, et al.. (2016). Attention bias dynamics and symptom severity during and following CBT for social anxiety disorder.. Journal of Consulting and Clinical Psychology. 84(9). 795–802. 37 indexed citations
17.
Smits, Jasper A. J., Mark B. Powers, David Rosenfield, et al.. (2016). BDNF Val66Met polymorphism as a moderator of exercise enhancement of smoking cessation treatment in anxiety vulnerable adults. Mental health and physical activity. 10. 73–77. 3 indexed citations
18.
Clasen, Peter C., Tony T. Wells, Alissa J. Ellis, & Christopher G. Beevers. (2012). Attentional biases and the persistence of sad mood in major depressive disorder.. Journal of Abnormal Psychology. 122(1). 74–85. 66 indexed citations
19.
Wells, Tony T., et al.. (2010). Gaze behavior predicts memory bias for angry facial expressions in stable dysphoria.. Emotion. 10(6). 894–902. 31 indexed citations
20.
Beevers, Christopher G., Tony T. Wells, Alissa J. Ellis, & John E. McGeary. (2009). Association of the serotonin transporter gene promoter region (5-HTTLPR) polymorphism with biased attention for emotional stimuli.. Journal of Abnormal Psychology. 118(3). 670–681. 138 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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