David G. Schramm

93 total papers · 1.3k total citations
56 papers, 836 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 56 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Demography, 29 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 (32 papers), Attachment and Relationship Dynamics (24 papers) and Intergenerational Family Dynamics and Caregiving (19 papers). David G. Schramm is often cited by papers focused on Family Dynamics and Relationships (32 papers), Attachment and Relationship Dynamics (24 papers) and Intergenerational Family Dynamics and Caregiving (19 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 764 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David G. Schramm	434	418	406	181	157	56	836
Brian J. Higginbotham	416 1.0×	391 0.9×	435 1.1×	162 0.9×	132 0.8×	90	785
Sabine Walper	470 1.1×	360 0.9×	337 0.8×	376 2.1×	115 0.7×	86	993
Brian G. Ogolsky	484 1.1×	622 1.5×	282 0.7×	309 1.7×	309 2.0×	57	1.1k
Ted G. Futris	329 0.8×	326 0.8×	300 0.7×	239 1.3×	87 0.6×	66	751
Amy Rauer	340 0.8×	501 1.2×	276 0.7×	304 1.7×	212 1.4×	60	939
Kay Bradford	340 0.8×	424 1.0×	339 0.8×	413 2.3×	100 0.6×	71	884
Steven M. Harris	354 0.8×	469 1.1×	210 0.5×	410 2.3×	131 0.8×	97	983
J. Kale Monk	279 0.6×	425 1.0×	180 0.4×	248 1.4×	108 0.7×	57	714
Jeanne M. Hilton	428 1.0×	213 0.5×	242 0.6×	141 0.8×	122 0.8×	28	728
Ashley Lytle	244 0.6×	279 0.7×	184 0.5×	115 0.6×	190 1.2×	50	868

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

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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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