Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Cellular and Synaptic Mechanisms of Anti-NMDA Receptor Encephalitis
2010852 citationsXiaoyu Peng, Thomas D. Parsons et al.Journal of Neuroscienceprofile →
Affective outcomes of virtual reality exposure therapy for anxiety and specific phobias: A meta-analysis
2007646 citationsThomas D. Parsons, Albert Rizzoprofile →
The prevalence and incidence of neurocognitive impairment in the HAART era
2007504 citationsThomas D. Parsons et al.profile →
Virtual Reality for Enhanced Ecological Validity and Experimental Control in the Clinical, Affective and Social Neurosciences
Countries citing papers authored by Thomas D. Parsons
Since
Specialization
Citations
This map shows the geographic impact of Thomas D. Parsons'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 D. Parsons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas D. Parsons more than expected).
Fields of papers citing papers by Thomas D. Parsons
This network shows the impact of papers produced by Thomas D. Parsons. 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 D. Parsons. The network helps show where Thomas D. Parsons may publish in the future.
Co-authorship network of co-authors of Thomas D. Parsons
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas D. Parsons.
A scholar is included among the top collaborators of Thomas D. Parsons 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 D. Parsons. Thomas D. Parsons is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McMahan, Timothy, Ian Parberry, & Thomas D. Parsons. (2015). Evaluating Electroencephalography Engagement Indices During Video Game Play.. Foundations of Digital Games.11 indexed citations
10.
Parberry, Ian, et al.. (2015). Comparing Player Attention on Procedurally Generated vs. Hand Crafted Sokoban Levels with an Auditory Stroop Test. Foundations of Digital Games.3 indexed citations
Rizzo, Albert, Thomas D. Parsons, John Galen Buckwalter, & Patrick Kenny. (2010). A New Generation of Intelligent Virtual Patients for Clinical Training. American Behavioral Scientist.9 indexed citations
Kenny, Patrick, Thomas D. Parsons, Jonathan Gratch, & Albert Rizzo. (2008). Evaluation of Justina: A Virtual Patient with PTSD. Lecture notes in computer science.36 indexed citations
15.
Kenny, Patrick, et al.. (2008). Virtual Justina: A PTSD Virtual Patient for Clinical Classroom Training.12 indexed citations
16.
Parsons, Thomas D. & Albert Rizzo. (2008). Neuropsychological Assessment of Attentional Processing using Virtual Reality. 6.16 indexed citations
Kenny, Patrick, Albert Rizzo, Thomas D. Parsons, Jonathan Gratch, & William Swartout. (2007). A Virtual Human Agent for Training Novice Therapist Clinical Interviewing Skills.13 indexed citations
20.
Parsons, Thomas D., et al.. (2000). Motivating and monitoring minimal crossfostering management.. 8(6). 269–272.3 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.