Donn Posner

1.6k total citations · 1 hit paper
19 papers, 883 citations indexed

About

Donn Posner is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Education. According to data from OpenAlex, Donn Posner has authored 19 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Experimental and Cognitive Psychology, 11 papers in Cognitive Neuroscience and 6 papers in Education. Recurrent topics in Donn Posner's work include Sleep and related disorders (14 papers), Sleep and Wakefulness Research (9 papers) and Youth Substance Use and School Attendance (5 papers). Donn Posner is often cited by papers focused on Sleep and related disorders (14 papers), Sleep and Wakefulness Research (9 papers) and Youth Substance Use and School Attendance (5 papers). Donn Posner collaborates with scholars based in United States, Canada and United Kingdom. Donn Posner's co-authors include Michael L. Perlis, Carla R. Jungquist, Michael Thomas Smith, Célyne Bastien, Dieter Riemann, Joseph Teel, Michael Thase, Shira Maguen, Thomas J. Metzler and Martha Schmitz and has published in prestigious journals such as The Lancet, Biological Psychiatry and SLEEP.

In The Last Decade

Donn Posner

17 papers receiving 851 citations

Hit Papers

Insomnia 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donn Posner United States 9 670 533 190 169 129 19 883
Tanja van der Zweerde Netherlands 12 939 1.4× 632 1.2× 292 1.5× 146 0.9× 103 0.8× 20 1.0k
María Platón Spain 8 705 1.1× 544 1.0× 222 1.2× 95 0.6× 100 0.8× 11 857
Ravi Singareddy United States 15 608 0.9× 391 0.7× 169 0.9× 158 0.9× 183 1.4× 21 885
Tasha Kalista United States 6 549 0.8× 357 0.7× 151 0.8× 132 0.8× 82 0.6× 10 787
Paul B. Glovinsky United States 7 946 1.4× 682 1.3× 373 2.0× 113 0.7× 94 0.7× 11 1.1k
Hugh Selsick United Kingdom 8 616 0.9× 504 0.9× 266 1.4× 47 0.3× 104 0.8× 14 759
Fee Benz Germany 15 671 1.0× 483 0.9× 302 1.6× 68 0.4× 44 0.3× 28 832
Orna Tzischinsky Israel 8 594 0.9× 390 0.7× 278 1.5× 114 0.7× 75 0.6× 14 871
Tracy F. Kuo United States 9 927 1.4× 658 1.2× 454 2.4× 153 0.9× 119 0.9× 11 1.2k
Liisa Kuula Finland 17 596 0.9× 437 0.8× 241 1.3× 84 0.5× 57 0.4× 47 814

Countries citing papers authored by Donn Posner

Since Specialization
Citations

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

Fields of papers citing papers by Donn Posner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donn Posner. 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 Donn Posner. The network helps show where Donn Posner may publish in the future.

Co-authorship network of co-authors of Donn Posner

This figure shows the co-authorship network connecting the top 25 collaborators of Donn Posner. A scholar is included among the top collaborators of Donn Posner 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 Donn Posner. Donn Posner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Posner, Donn, et al.. (2025). Assessment and computation of sleep efficiency – Is close enough good enough?. 35(4). 100538–100538.
2.
Posner, Donn, Maryam Ahmadi, Beatríz Hernández, et al.. (2025). Comparative effectiveness and predictors of cognitive behavioral therapy for insomnia and its components in older adults: main outcomes of a randomized dismantling trial. Journal of Clinical Sleep Medicine. 21(10). 1679–1695. 1 indexed citations
3.
Morales, Knashawn H., Jason Ellis, Iván Vargas, et al.. (2024). The natural history of insomnia: evaluating illness severity from acute to chronic insomnia; is the first the worst?. SLEEP. 47(4). 2 indexed citations
4.
Perlis, Michael L., Donn Posner, Dieter Riemann, et al.. (2022). Insomnia. The Lancet. 400(10357). 1047–1060. 189 indexed citations breakdown →
5.
Vargas, Iván, Michael A. Grandner, Jason Ellis, et al.. (2022). We know CBT-I works, now what?. PubMed. 11. 4–4. 52 indexed citations
6.
Ahmadi, Maryam, Adam Krause, Beatríz Hernández, et al.. (2022). P690. The Effect of Distinct Components of CBT-I on Slow Wave Power and Energy. Biological Psychiatry. 91(9). S369–S370.
7.
Perlis, Michael L., Wilfred R. Pigeon, Michael A. Grandner, et al.. (2021). Why Treat Insomnia?. Journal of Primary Care & Community Health. 12. 3667699652–3667699652. 29 indexed citations
8.
Perlis, Michael L., Knashawn H. Morales, Iván Vargas, et al.. (2021). The natural history of insomnia: Does sleep extension differentiate between those that do and do not develop chronic insomnia?. Journal of Sleep Research. 30(5). e13342–e13342. 8 indexed citations
9.
Vargas, Iván, Knashawn H. Morales, Jacqueline D. Kloss, et al.. (2019). 0896 The Temporal Dynamics Of The Association Between Sleep Continuity Disturbance And Depressive Symptoms. SLEEP. 42(Supplement_1). A360–A360. 2 indexed citations
10.
Perlis, Michael L., et al.. (2019). 0380 Does TST Appreciably Change During or After CBT-I?. SLEEP. 42(Supplement_1). A154–A155. 2 indexed citations
11.
Garland, Sheila N., Michael R. Irwin, Donn Posner, & Michael L. Perlis. (2018). Are sleep continuity disturbance and fatigue prodromal symptoms of cancer development?. Medical Hypotheses. 120. 72–75. 11 indexed citations
12.
Carney, Colleen E. & Donn Posner. (2015). Cognitive Behavior Therapy for Insomnia in Those with Depression. 5 indexed citations
13.
Carney, Colleen E. & Donn Posner. (2015). Cognitive Behavior Therapy for Insomnia in Those with Depression: A Guide for Clinicians. 2 indexed citations
14.
Talbot, Lisa S., Shira Maguen, Thomas J. Metzler, et al.. (2014). Cognitive Behavioral Therapy for Insomnia in Posttraumatic Stress Disorder: A Randomized Controlled Trial. SLEEP. 37(2). 327–341. 212 indexed citations
15.
Dalrymple, Kristy, Lavinia Fiorentino, Mary C. Politi, & Donn Posner. (2010). Incorporating Principles from Acceptance and Commitment Therapy into Cognitive-Behavioral Therapy for Insomnia: A Case Example. Journal of Contemporary Psychotherapy. 40(4). 209–217. 39 indexed citations
16.
Arnedt, J. Todd, Deirdre A. Conroy, Donn Posner, & Mark S. Aloia. (2006). Evaluation of the Insomnia Patient. Sleep Medicine Clinics. 1(3). 319–332. 5 indexed citations
17.
Perlis, Michael L., Carla R. Jungquist, Michael Thomas Smith, & Donn Posner. (2005). Cognitive Behavioral Treatment of Insomnia: A Session-by-Session Guide. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 247 indexed citations
18.
Campbell, M, et al.. (1980). A study of haloperidol in young autistic children: a within-subjects design using objective rating scales.. PubMed. 16(3). 63–5. 12 indexed citations
19.
Cohen, Ira L., et al.. (1980). Behavioral Effects of Haloperidol in Young Autistic Children: An Objective Analysis Using a Within-Subjects Reversal Design. Journal of the American Academy of Child Psychiatry. 19(4). 665–677. 65 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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