Most cited papers from TAO Connect (United States)
What are the most cited papers from TAO Connect (United States)?
The most cited paper from TAO Connect (United States) is "Therapist-assisted, online (TAO) intervention for anxiety in college students: TAO outperformed treatment as usual." (Sherry A. Benton, Martin Heesacker, Steven J. Snowden et al., 2016), with 54 citations. Next come "Self-Reflective Sentiment Analysis" (13) and "Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning" (11).
Showing 6 of 6 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Therapist-assisted, online (TAO) intervention for anxiety in college students: TAO outperformed treatment as usual. Sherry A. Benton, Martin Heesacker, Steven J. Snowden et al. · Professional Psychology Research and Practice | 29 Aug 2016 | 54 |
| 2 | Self-Reflective Sentiment Analysis Benjamin Shickel, Martin Heesacker, Sherry A. Benton et al. | 2016 | 13 |
| 3 | Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning Benjamin Shickel, Martin Heesacker, Sherry A. Benton et al. | Oct 2020 | 11 |
| 4 | Computer‐assisted psychological assessment and psychotherapy for collegians Martin Heesacker, Caroline Perez, Molly S. Quinn et al. · Journal of Clinical Psychology | 2 Sep 2019 | 10 |
| 5 | Automatic Detection and Classification of Cognitive Distortions in Mental Health Text Benjamin Shickel, Scott Siegel, Martin Heesacker et al. | Oct 2020 | 3 |
| 6 | GDSFactory: An Open-Source Python Library for Chip Design and Simulation J. Matres, Simon Bilodeau, Niko Savola et al. | Jul 2026 | 0 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.