David Bard

3.1k total citations
64 papers, 2.1k citations indexed

About

David Bard is a scholar working on Clinical Psychology, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, David Bard has authored 64 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Clinical Psychology, 14 papers in General Health Professions and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in David Bard's work include Child and Adolescent Psychosocial and Emotional Development (19 papers), Child Abuse and Trauma (18 papers) and Homelessness and Social Issues (8 papers). David Bard is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (19 papers), Child Abuse and Trauma (18 papers) and Homelessness and Social Issues (8 papers). David Bard collaborates with scholars based in United States, Russia and Italy. David Bard's co-authors include Mark Chaffin, Jane F. Silovsky, Debra B. Hecht, Mark L. Wolraich, Robin H. Gurwitch, Beverly W. Funderburk, Melissa Doffing, Barbara R. Neas, William H. Beasley and Linda Anne Valle and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Journal of Consulting and Clinical Psychology.

In The Last Decade

David Bard

58 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bard United States 26 1.3k 473 345 325 277 64 2.1k
Gilbert R. Parra United States 24 1.3k 1.0× 379 0.8× 220 0.6× 246 0.8× 402 1.5× 66 2.8k
Mary E. Haskett United States 23 1.4k 1.1× 339 0.7× 115 0.3× 259 0.8× 293 1.1× 61 1.9k
Jan Matthews Australia 24 1.2k 0.9× 181 0.4× 247 0.7× 194 0.6× 258 0.9× 63 1.7k
María Forns Spain 20 1.7k 1.3× 376 0.8× 198 0.6× 240 0.7× 352 1.3× 80 2.4k
Preston A. Britner United States 25 1.3k 1.0× 298 0.6× 132 0.4× 495 1.5× 424 1.5× 49 1.9k
Marilyn Augustyn United States 28 1.5k 1.1× 557 1.2× 289 0.8× 155 0.5× 483 1.7× 119 2.9k
Cristiane S. Duarte United States 34 2.1k 1.6× 694 1.5× 349 1.0× 131 0.4× 531 1.9× 135 3.2k
Kjell Hansson Sweden 27 1.2k 0.9× 434 0.9× 174 0.5× 170 0.5× 222 0.8× 68 1.9k
Biza Stenfert Kroese United Kingdom 28 1.4k 1.1× 278 0.6× 168 0.5× 433 1.3× 313 1.1× 95 2.1k
Shari Miller‐Johnson United States 19 1.4k 1.0× 371 0.8× 108 0.3× 329 1.0× 364 1.3× 25 2.7k

Countries citing papers authored by David Bard

Since Specialization
Citations

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

Fields of papers citing papers by David Bard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bard

This figure shows the co-authorship network connecting the top 25 collaborators of David Bard. A scholar is included among the top collaborators of David Bard 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 David Bard. David Bard 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.
2.
Janitz, Amanda E., et al.. (2025). Rurality, Cardiovascular Risk Factors, and Early Cardiovascular Disease Among Childhood, Adolescent, and Young Adult Cancer Survivors. Journal of Adolescent and Young Adult Oncology. 14(6). 516–524.
3.
Liao, Xiaolan, Hairong Song, & David Bard. (2024). Predicting Successful Treatment Completion Using Baseline Case Characteristics through Machine Learning and Ensemble Modeling: A Two-Step Approach. Chinese Political Science Review. 10(2). 224–253. 2 indexed citations
4.
Skowron, Elizabeth A., et al.. (2023). Randomized trial of parent–child interaction therapy improves child-welfare parents’ behavior, self-regulation, and self-perceptions.. Journal of Consulting and Clinical Psychology. 92(2). 75–92. 4 indexed citations
5.
6.
Wright, Caroline Vaile, David Bard, Bruce L. Bobbitt, et al.. (2019). Promoting measurement-based care and quality measure development: The APA mental and behavioral health registry initiative.. Psychological Services. 17(3). 262–270. 18 indexed citations
7.
Rodgers, Joseph Lee, S. Mason Garrison, David Bard, et al.. (2019). Responding to a 100-Year-Old Challenge from Fisher: A Biometrical Analysis of Adult Height in the NLSY Data Using Only Cousin Pairs. Behavior Genetics. 49(5). 444–454. 2 indexed citations
8.
Balachova, Tatiana, et al.. (2018). Alcohol consumption among pregnant and non-pregnant women in Russia: evidence for prevention. Acta Biomedica Scientifica (East Siberian Biomedical Journal). 3(3). 59–68. 5 indexed citations
9.
Ondersma, Steven J., Beverly L. Fortson, Daniel J. Whitaker, et al.. (2017). Technology to Augment Early Home Visitation for Child Maltreatment Prevention: A Pragmatic Randomized Trial. Child Maltreatment. 22(4). 334–343. 14 indexed citations
10.
Chaffin, Mark, Алла Вадимовна Шаболтас, Barbara L. Bonner, et al.. (2017). Latent Class Analysis of HIV Risk Behaviors Among Russian Women at Risk for Alcohol-Exposed Pregnancies. AIDS and Behavior. 21(S2). 243–252. 2 indexed citations
11.
Chaffin, Mark, Debra B. Hecht, David Bard, Jane F. Silovsky, & William H. Beasley. (2012). A Statewide Trial of the SafeCare Home-based Services Model With Parents in Child Protective Services. PEDIATRICS. 129(3). 509–515. 179 indexed citations
12.
Damashek, Amy, David Bard, & Debra B. Hecht. (2011). Provider Cultural Competency, Client Satisfaction, and Engagement in Home-Based Programs to Treat Child Abuse and Neglect. Child Maltreatment. 17(1). 56–66. 43 indexed citations
13.
Chaffin, Mark, Beverly W. Funderburk, David Bard, Linda Anne Valle, & Robin H. Gurwitch. (2010). A combined motivation and parent–child interaction therapy package reduces child welfare recidivism in a randomized dismantling field trial.. Journal of Consulting and Clinical Psychology. 79(1). 84–95. 158 indexed citations
14.
Rodgers, Joseph Lee, David Bard, Amber Johnson, Brian M. D’Onofrio, & Warren B. Miller. (2008). The Cross-Generational Mother–Daughter–Aunt–Niece Design: Establishing Validity of the MDAN Design with NLSY Fertility Variables. Behavior Genetics. 38(6). 567–578. 17 indexed citations
15.
Bard, David, et al.. (2008). Meta-Analysis of Treatment for Child Sexual Behavior Problems: Practice Elements and Outcomes. Child Maltreatment. 13(2). 145–166. 69 indexed citations
16.
Silovsky, Jane F., Larissa Nicole Niec, David Bard, & Debra B. Hecht. (2007). Treatment for Preschool Children With Interpersonal Sexual Behavior Problems: A Pilot Study. Journal of Clinical Child & Adolescent Psychology. 36(3). 378–391. 38 indexed citations
17.
Rodgers, Joseph Lee, David Bard, & Warren B. Miller. (2007). Multivariate Cholesky Models of Human Female Fertility Patterns in the NLSY. Behavior Genetics. 37(2). 345–361. 23 indexed citations
18.
Chaffin, Mark & David Bard. (2006). Impact of Intervention Surveillance Bias on Analyses of Child Welfare Report Outcomes. Child Maltreatment. 11(4). 301–312. 75 indexed citations
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20.

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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