Thomas A. Daniel

671 total citations
29 papers, 490 citations indexed

About

Thomas A. Daniel is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Thomas A. Daniel has authored 29 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Clinical Psychology, 10 papers in Experimental and Cognitive Psychology and 6 papers in Cognitive Neuroscience. Recurrent topics in Thomas A. Daniel's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers), Posttraumatic Stress Disorder Research (8 papers) and Stress Responses and Cortisol (5 papers). Thomas A. Daniel is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers), Posttraumatic Stress Disorder Research (8 papers) and Stress Responses and Cortisol (5 papers). Thomas A. Daniel collaborates with scholars based in United States. Thomas A. Daniel's co-authors include Joseph R. Bardeen, Jeffrey S. Katz, Jennifer L. Robinson, Gopikrishna Deshpande, Thomas S. Denney, Michael N. Dretsch, Adam M. Goodman, J. Benjamin Hinnant, Holly K. Orcutt and D. Rangaprakash and has published in prestigious journals such as SHILAP Revista de lepidopterología, Behaviour Research and Therapy and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Thomas A. Daniel

27 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas A. Daniel United States 13 207 179 127 60 42 29 490
Mikael Rubin United States 9 225 1.1× 113 0.6× 198 1.6× 47 0.8× 126 3.0× 28 471
Bettina Gathmann Germany 12 259 1.3× 194 1.1× 65 0.5× 19 0.3× 41 1.0× 20 430
Fátima Smith Erthal Brazil 15 421 2.0× 273 1.5× 178 1.4× 36 0.6× 93 2.2× 29 766
Rosa Steimke Germany 10 369 1.8× 140 0.8× 126 1.0× 26 0.4× 49 1.2× 10 509
Sarah Sass United States 15 483 2.3× 343 1.9× 204 1.6× 20 0.3× 64 1.5× 24 775
Lisa Wagels Germany 16 301 1.5× 230 1.3× 163 1.3× 19 0.3× 90 2.1× 53 677
Miriam Dyck Germany 13 432 2.1× 203 1.1× 171 1.3× 19 0.3× 162 3.9× 16 673
Gergely Darnai Hungary 13 187 0.9× 86 0.5× 80 0.6× 12 0.2× 70 1.7× 36 483
Allison M. Letkiewicz United States 13 288 1.4× 298 1.7× 213 1.7× 34 0.6× 51 1.2× 28 632

Countries citing papers authored by Thomas A. Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas A. Daniel. 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 Thomas A. Daniel. The network helps show where Thomas A. Daniel may publish in the future.

Co-authorship network of co-authors of Thomas A. Daniel

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas A. Daniel. A scholar is included among the top collaborators of Thomas A. Daniel 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 Thomas A. Daniel. Thomas A. Daniel 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.
Daniel, Thomas A., et al.. (2024). Self-Perception of Extroversion Increases with Social Media Use: A Social Media Induction Task. Cyberpsychology Behavior and Social Networking. 27(5). 336–339.
4.
Daniel, Thomas A., et al.. (2021). Health anxiety and attentional control interact to predict uncertainty-related attentional biases. Journal of Behavior Therapy and Experimental Psychiatry. 74. 101697–101697. 3 indexed citations
5.
Bardeen, Joseph R., Thomas A. Daniel, Kim L. Gratz, et al.. (2020). The BDNF Val66Met Polymorphism Moderates the Relationship Between Posttraumatic Stress Disorder and Trauma Script-evoked Attentional Bias to Cocaine Cues Among Patients with Cocaine Dependence. Journal of Anxiety Disorders. 72. 102223–102223. 5 indexed citations
6.
Bardeen, Joseph R., Thomas A. Daniel, Robert D. Gordon, J. Benjamin Hinnant, & Frank W. Weathers. (2020). Individual differences in attentional control explain the differential expression of threat-related attentional bias among those with posttraumatic stress symptomatology and predict symptom maintenance up to one year later. Behaviour Research and Therapy. 133. 103709–103709. 18 indexed citations
7.
Bardeen, Joseph R. & Thomas A. Daniel. (2018). Anxiety sensitivity and attentional bias to threat interact to prospectively predict anxiety. Cognitive Behaviour Therapy. 47(6). 482–494. 14 indexed citations
8.
Daniel, Thomas A., et al.. (2018). Emojis affect processing fluency on social media.. Psychology of Popular Media. 9(2). 208–213. 49 indexed citations
9.
Daniel, Thomas A., et al.. (2018). North American Football Fans Show Neurofunctional Differences in Response to Violence: Implications for Public Health and Policy. Frontiers in Public Health. 6. 177–177. 2 indexed citations
10.
Bardeen, Joseph R., Thomas A. Daniel, J. Benjamin Hinnant, & Holly K. Orcutt. (2017). Emotion dysregulation and threat-related attention bias variability. Motivation and Emotion. 41(3). 402–409. 40 indexed citations
11.
Dretsch, Michael N., Rael T. Lange, Adam M. Goodman, et al.. (2017). Examining Microstructural White Matter in Active Duty Soldiers with a History of Mild Traumatic Brain Injury and Traumatic Stress. PubMed. 11(1). 46–57. 13 indexed citations
12.
Dretsch, Michael N., Kimberly H. Wood, Thomas A. Daniel, et al.. (2016). Exploring the Neurocircuitry Underpinning Predictability of Threat in Soldiers with PTSD Compared to Deployment Exposed Controls. PubMed. 10(1). 111–124. 16 indexed citations
13.
Daniel, Thomas A. & Jeffrey S. Katz. (2016). A negative stimulus movement effect in pigeons. Behavioural Processes. 130. 11–18. 4 indexed citations
14.
Daniel, Thomas A., Anthony A. Wright, & Jeffrey S. Katz. (2016). The oddity preference effect and the concept of difference in pigeons. Learning & Behavior. 44(4). 320–328. 5 indexed citations
15.
Davis, Margaret T., Thomas A. Daniel, Tracy K. Witte, et al.. (2016). Demonstration and validation of a new pressure-based MRI-safe pain tolerance device. Journal of Neuroscience Methods. 271. 160–168. 5 indexed citations
16.
Daniel, Thomas A., Jeffrey S. Katz, & Jennifer L. Robinson. (2016). Delayed match-to-sample in working memory: A BrainMap meta-analysis. Biological Psychology. 120. 10–20. 71 indexed citations
17.
Daniel, Thomas A., Robert G. Cook, & Jeffrey S. Katz. (2015). Temporal dynamics of task switching and abstract-concept learning in pigeons. Frontiers in Psychology. 6. 1334–1334. 7 indexed citations
18.
Daniel, Thomas A., Anthony A. Wright, & Jeffrey S. Katz. (2015). Abstract-concept learning of difference in pigeons. Animal Cognition. 18(4). 831–837. 14 indexed citations
19.
Magnotti, John F., et al.. (2012). Visual object complexity limits pigeon short-term memory. Behavioural Processes. 93. 31–38. 2 indexed citations
20.
Daniel, Thomas A. & Baptiste Lepers. (1996). AUTOMATIC INCIDENT DETECTION: A KEY TOOL FOR INTELLIGENT TRAFFIC MANAGEMENT. Traffic Technology International. 1 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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