Daniel J. Bauer

897 total citations
15 papers, 666 citations indexed

About

Daniel J. Bauer is a scholar working on Psychiatry and Mental health, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel J. Bauer has authored 15 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Psychiatry and Mental health, 7 papers in Clinical Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel J. Bauer's work include Attention Deficit Hyperactivity Disorder (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (3 papers). Daniel J. Bauer is often cited by papers focused on Attention Deficit Hyperactivity Disorder (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (3 papers). Daniel J. Bauer collaborates with scholars based in United States, Norway and Switzerland. Daniel J. Bauer's co-authors include Denise Dion Hallfors, Bonita J. Iritani, William C. Miller, Andrea M. Hussong, Laurie Chassin, Piper Meyer-Kalos, David L. Penn, David P. Johnson, Elizabeth H. Evans and Thomas Nyffeler and has published in prestigious journals such as Brain, Journal of Consulting and Clinical Psychology and American Journal of Public Health.

In The Last Decade

Daniel J. Bauer

14 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Bauer United States	10	277	203	167	160	116	15	666
Rebecca L. Schacht United States	16	299 1.1×	169 0.8×	83 0.5×	342 2.1×	147 1.3×	34	743
Robert C. McMahon United States	17	217 0.8×	275 1.4×	143 0.9×	400 2.5×	69 0.6×	58	867
James A. Peck United States	11	246 0.9×	649 3.2×	488 2.9×	163 1.0×	121 1.0×	14	1.0k
Jim Zians United States	16	255 0.9×	521 2.6×	413 2.5×	221 1.4×	207 1.8×	27	837
Tiffany R. Glynn United States	13	133 0.5×	276 1.4×	255 1.5×	177 1.1×	138 1.2×	31	670
A Lehmann Germany	14	151 0.5×	159 0.8×	174 1.0×	330 2.1×	128 1.1×	26	884
Andrew Frankland Australia	20	73 0.3×	75 0.4×	82 0.5×	235 1.5×	117 1.0×	45	1.0k
Richard Thwaites United Kingdom	18	55 0.2×	194 1.0×	33 0.2×	407 2.5×	39 0.3×	49	858
Marcelo Santos Cruz Brazil	17	129 0.5×	361 1.8×	91 0.5×	171 1.1×	67 0.6×	54	819
Liana R. Clark United States	10	149 0.5×	74 0.4×	53 0.3×	32 0.2×	36 0.3×	22	416

Countries citing papers authored by Daniel J. Bauer

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Bauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Bauer

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

All Works

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15 of 15 papers shown

Anand, Deepika, Elizabeth D. Reese, Christopher Conway, Daniel J. Bauer, & Stacey B. Daughters. (2024). Distress Tolerance Trajectories Following Substance Use Treatment. UNC Libraries.

Molina, Brooke S. G., Heather M. Joseph, Heidi Kipp, et al.. (2024). Adolescent-Reported Changes in Provider Behavior Following Pediatrician Training in Stimulant Diversion Prevention: Results From a Cluster Randomized Controlled Trial. Journal of Attention Disorders. 29(2). 107–119. 2 indexed citations

Ebrahimi, Omid V., Daniel J. Bauer, Asle Hoffart, & Sverre Urnes Johnson. (2022). A critical period for pandemic adaptation: The evolution of depressive symptomatology in a representative sample of adults across a 17-month period during COVID-19.. Journal of Psychopathology and Clinical Science. 131(8). 881–894. 13 indexed citations

Kolko, David J., Sarah L. Pedersen, Heidi Kipp, et al.. (2022). Effects of Training on Use of Stimulant Diversion Prevention Strategies by Pediatric Primary Care Providers: Results from a Cluster-Randomized Trial. Prevention Science. 23(7). 1299–1307. 3 indexed citations

Molina, Brooke S. G., Heather M. Joseph, Heidi Kipp, et al.. (2021). Adolescents Treated for Attention-Deficit/Hyperactivity Disorder in Pediatric Primary Care: Characterizing Risk for Stimulant Diversion. Journal of Developmental & Behavioral Pediatrics. 42(7). 540–552. 8 indexed citations

Molina, Brooke S. G., Heidi Kipp, Heather M. Joseph, et al.. (2019). Stimulant Diversion Risk Among College Students Treated for ADHD: Primary Care Provider Prevention Training. Academic Pediatrics. 20(1). 119–127. 19 indexed citations

Reese, Elizabeth D., Christopher Conway, Deepika Anand, Daniel J. Bauer, & Stacey B. Daughters. (2019). Distress tolerance trajectories following substance use treatment.. Journal of Consulting and Clinical Psychology. 87(7). 645–656. 29 indexed citations

Nyffeler, Thomas, Tim Vanbellingen, Brigitte Charlotte Kaufmann, et al.. (2019). Theta burst stimulation in neglect after stroke: functional outcome and response variability origins. Brain. 142(4). 992–1008. 70 indexed citations

Curran, Patrick J., et al.. (2017). Advancing the Study of Adolescent Substance Use Through the Use of Integrative Data Analysis. Evaluation & the Health Professions. 41(2). 216–245. 17 indexed citations

10.

Browne, Julia, David L. Penn, Daniel J. Bauer, et al.. (2017). Perceived Autonomy Support in the NIMH RAISE Early Treatment Program. Psychiatric Services. 68(9). 916–922. 17 indexed citations

11.

Burns, Alison, Andrea M. Hussong, Jessica M. Solis, et al.. (2016). Examining cohort effects in developmental trajectories of substance use. International Journal of Behavioral Development. 41(5). 621–631. 5 indexed citations

12.

Hussong, Andrea M., Daniel J. Bauer, & Laurie Chassin. (2008). Telescoped trajectories from alcohol initiation to disorder in children of alcoholic parents.. Journal of Abnormal Psychology. 117(1). 63–78. 59 indexed citations

13.

Johnson, David P., David L. Penn, Daniel J. Bauer, Piper Meyer-Kalos, & Elizabeth H. Evans. (2008). Predictors of the therapeutic alliance in group therapy for individuals with treatment‐resistant auditory hallucinations. British Journal of Clinical Psychology. 47(2). 171–184. 35 indexed citations

14.

Iritani, Bonita J., Denise Dion Hallfors, & Daniel J. Bauer. (2007). Crystal methamphetamine use among young adults in the USA. Addiction. 102(7). 1102–1113. 96 indexed citations

15.

Hallfors, Denise Dion, Bonita J. Iritani, William C. Miller, & Daniel J. Bauer. (2006). Sexual and Drug Behavior Patterns and HIV and STD Racial Disparities: The Need for New Directions. American Journal of Public Health. 97(1). 125–132. 293 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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