David G. Schramm

1.3k total citations
57 papers, 839 citations indexed

About

David G. Schramm is a scholar working on Demography, Sociology and Political Science and Social Psychology. According to data from OpenAlex, David G. Schramm has authored 57 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Demography, 30 papers in Sociology and Political Science and 25 papers in Social Psychology. Recurrent topics in David G. Schramm's work include Family Dynamics and Relationships (33 papers), Attachment and Relationship Dynamics (24 papers) and Intergenerational Family Dynamics and Caregiving (20 papers). David G. Schramm is often cited by papers focused on Family Dynamics and Relationships (33 papers), Attachment and Relationship Dynamics (24 papers) and Intergenerational Family Dynamics and Caregiving (20 papers). David G. Schramm collaborates with scholars based in United States, Canada and Netherlands. David G. Schramm's co-authors include Adam M. Galovan, James P. Marshall, Francesca Adler‐Baeder, Thomas R. Lee, Victor W. Harris, Brian J. Higginbotham, H. Wallace Goddard, Jennifer L. Kerpelman, Jonathan R. Olson and Jeremy B. Kanter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Family Psychology and Family Relations.

In The Last Decade

David G. Schramm

52 papers receiving 767 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 G. Schramm United States 18 435 422 408 182 159 57 839
Sabine Walper Germany 14 479 1.1× 366 0.9× 339 0.8× 388 2.1× 117 0.7× 88 1.0k
Juliana M. Sobolewski United States 7 620 1.4× 215 0.5× 625 1.5× 210 1.2× 90 0.6× 8 941
J. Kale Monk United States 17 281 0.6× 430 1.0× 182 0.4× 249 1.4× 109 0.7× 57 719
Jeanne M. Hilton United States 17 427 1.0× 216 0.5× 242 0.6× 142 0.8× 122 0.8× 28 732
Heather M. Helms United States 14 532 1.2× 744 1.8× 334 0.8× 386 2.1× 198 1.2× 26 1.2k
Adriana Wagner Brazil 18 268 0.6× 359 0.9× 381 0.9× 319 1.8× 109 0.7× 97 982
Bryndl Hohmann‐Marriott New Zealand 13 448 1.0× 183 0.4× 372 0.9× 133 0.7× 59 0.4× 26 798
Chin-Chun Yi Taiwan 12 437 1.0× 165 0.4× 230 0.6× 189 1.0× 97 0.6× 33 730
Casey J. Totenhagen United States 16 258 0.6× 508 1.2× 170 0.4× 168 0.9× 83 0.5× 42 781
Tanya Koropeckyj‐Cox United States 14 632 1.5× 146 0.3× 471 1.2× 93 0.5× 320 2.0× 24 981

Countries citing papers authored by David G. Schramm

Since Specialization
Citations

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

Fields of papers citing papers by David G. Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Schramm

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Schramm. A scholar is included among the top collaborators of David G. Schramm 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 G. Schramm. David G. Schramm 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.
Caulley, Lisa, Brandon Zagorski, Andrew S. Wilton, et al.. (2025). The Economic Burden of Management of Pituitary Adenomas: A Propensity-Score-Matched Cost Analysis. Journal of Otolaryngology - Head and Neck Surgery. 54. 2071638633–2071638633. 1 indexed citations
2.
Higginbotham, Brian J., et al.. (2023). Exploring the Factor Structure and Concurrent Validity of Two Stepfamily Measures for Japanese Couples. Journal of Divorce & Remarriage. 64(2-4). 156–172.
3.
Gold, E. Richard, et al.. (2023). Use of multidisciplinary positive deviance seminars to improve efficiency in a high-volume arthroplasty practice: a pilot study. Canadian Journal of Surgery. 66(1). E1–E7. 4 indexed citations
4.
Galovan, Adam M., et al.. (2021). Satisfaction or connectivity?: Implications from the strong relationality model of flourishing couple relationships. Journal of Marital and Family Therapy. 48(3). 883–907. 15 indexed citations
5.
Swinton, Jonathan, et al.. (2020). Remote Hiring Innovation During the COVID-19 Pandemic. Journal of Extension. 58(5). 2 indexed citations
6.
Schramm, David G., et al.. (2019). Is One Hour Enough? Evaluating Utah’s Online Divorce Education Course Based on Course Length Satisfaction. Journal of Divorce & Remarriage. 60(7). 537–551. 11 indexed citations
7.
Hawkins, Alan J., et al.. (2017). What Are They Thinking? A National Study of Stability and Change in Divorce Ideation. Family Process. 56(4). 852–868. 13 indexed citations
8.
9.
Schramm, David G., Adam M. Galovan, & H. Wallace Goddard. (2017). What Relationship Researchers and Relationship Practitioners Wished the Other Knew: Integrating Discovery and Practice in Couple Relationships. Family Relations. 66(4). 696–711. 9 indexed citations
10.
Russell, Luke, et al.. (2016). A comparison of intergovernmental and private agency collection of child support arrears. Children and Youth Services Review. 71. 166–173. 1 indexed citations
11.
Futris, Ted G. & David G. Schramm. (2015). Program Development from Start-to-Finish: A Case Study of the Healthy Relationship and Marriage Education Training Project. Journal of Extension. 53(3). 4 indexed citations
12.
Olson, Jonathan R., James P. Marshall, H. Wallace Goddard, & David G. Schramm. (2015). Shared Religious Beliefs, Prayer, and Forgiveness as Predictors of Marital Satisfaction. Family Relations. 64(4). 519–533. 47 indexed citations
13.
Olson, Jonathan R., James P. Marshall, H. Wallace Goddard, & David G. Schramm. (2014). Variations in Predictors of Marital Satisfaction Across More Religious and Less Religious Regions of the United States. Journal of Family Issues. 37(12). 1658–1677. 6 indexed citations
14.
Galovan, Adam M., Erin K. Holmes, David G. Schramm, & Thomas R. Lee. (2013). Father Involvement, Father–Child Relationship Quality, and Satisfaction With Family Work. Journal of Family Issues. 35(13). 1846–1867. 44 indexed citations
15.
Schramm, David G., et al.. (2010). Evaluating Multiple Prevention Programs: Methods, Results, and Lessons Learned. Journal of Extension. 48(6). 3 indexed citations
16.
Robertson, Anne, et al.. (2010). Community Education Programs Serving Couples in Stepfamilies: A Qualitative Study of Format, Content, and Service Delivery. Journal of Extension. 48(5). 4 indexed citations
17.
Adler‐Baeder, Francesca, Anne Robertson, & David G. Schramm. (2010). Conceptual Framework for Marriage Education Programs for Stepfamily Couples with Considerations for Socioeconomic Context. Marriage & Family Review. 46(4). 300–322. 26 indexed citations
18.
Schramm, David G. & Brian J. Higginbotham. (2009). A Revision of the Questionnaire for Couples in Stepfamilies. Journal of Divorce & Remarriage. 50(5). 341–355. 7 indexed citations
19.
Adler‐Baeder, Francesca, et al.. (2007). The Impact of Relationship Education on Adolescents of Diverse Backgrounds. Family Relations. 56(3). 291–303. 100 indexed citations
20.
Schramm, David G., James P. Marshall, Victor W. Harris, & Thomas R. Lee. (2005). After “I Do”: The Newlywed Transition. Marriage & Family Review. 38(1). 45–67. 61 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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