Ruth M. DeBar

57 total papers · 930 total citations
47 papers, 517 citations indexed

About

Ruth M. DeBar is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Psychiatry and Mental health. According to data from OpenAlex, Ruth M. DeBar has authored 47 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 42 papers in Developmental and Educational Psychology and 15 papers in Psychiatry and Mental health. Recurrent topics in Ruth M. DeBar's work include Autism Spectrum Disorder Research (43 papers), Behavioral and Psychological Studies (42 papers) and Attention Deficit Hyperactivity Disorder (15 papers). Ruth M. DeBar is often cited by papers focused on Autism Spectrum Disorder Research (43 papers), Behavioral and Psychological Studies (42 papers) and Attention Deficit Hyperactivity Disorder (15 papers). Ruth M. DeBar collaborates with scholars based in United States, Netherlands and New Zealand. Ruth M. DeBar's co-authors include Jason C. Vladescu, Sheila R. Alber‐Morgan, Kenneth F. Reeve, Sharon A. Reeve, William H. Ahearn, Kathy Clark, Jeff Sigafoos, Helen I. Cannella‐Malone, Tina M. Sidener and Dawn Buffington Townsend and has published in prestigious journals such as Journal of Applied Behavior Analysis, Journal of the Experimental Analysis of Behavior and The Journal of Special Education.

In The Last Decade

Ruth M. DeBar

43 papers receiving 488 citations

Author Peers

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

Author Last Decade Papers Cites
Ruth M. DeBar 392 385 181 109 66 47 517
Jessica S. Akers 388 1.0× 361 0.9× 196 1.1× 90 0.8× 82 1.2× 39 532
Blair P. Lloyd 372 0.9× 326 0.8× 203 1.1× 95 0.9× 77 1.2× 45 540
Corinna F. Grindle 234 0.6× 331 0.9× 268 1.5× 105 1.0× 108 1.6× 43 495
Lyle E. Barton 459 1.2× 394 1.0× 178 1.0× 191 1.8× 36 0.5× 34 598
Kevin C. Luczynski 434 1.1× 404 1.0× 247 1.4× 108 1.0× 51 0.8× 30 571
Helena Lydon 232 0.6× 353 0.9× 196 1.1× 115 1.1× 85 1.3× 25 467
Stephen C. Luce 439 1.1× 441 1.1× 271 1.5× 144 1.3× 49 0.7× 19 578
MaryAnn Demchak 275 0.7× 177 0.5× 201 1.1× 75 0.7× 114 1.7× 49 467
Soyeon Kang 285 0.7× 373 1.0× 163 0.9× 206 1.9× 37 0.6× 34 560
Amber L. Valentino 380 1.0× 289 0.8× 121 0.7× 92 0.8× 32 0.5× 31 466

Countries citing papers authored by Ruth M. DeBar

Since Specialization
Citations

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

Fields of papers citing papers by Ruth M. DeBar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth M. DeBar. 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 Ruth M. DeBar. The network helps show where Ruth M. DeBar may publish in the future.

Co-authorship network of co-authors of Ruth M. DeBar

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth M. DeBar. A scholar is included among the top collaborators of Ruth M. DeBar 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 Ruth M. DeBar. Ruth M. DeBar 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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