Daniel M. Purnine

20 total papers · 838 total citations
17 papers, 699 citations indexed

About

Daniel M. Purnine is a scholar working on Social Psychology, Psychiatry and Mental health and Epidemiology. According to data from OpenAlex, Daniel M. Purnine has authored 17 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 7 papers in Psychiatry and Mental health and 6 papers in Epidemiology. Recurrent topics in Daniel M. Purnine's work include Substance Abuse Treatment and Outcomes (6 papers), Schizophrenia research and treatment (6 papers) and Behavioral Health and Interventions (4 papers). Daniel M. Purnine is often cited by papers focused on Substance Abuse Treatment and Outcomes (6 papers), Schizophrenia research and treatment (6 papers) and Behavioral Health and Interventions (4 papers). Daniel M. Purnine collaborates with scholars based in United States and Japan. Daniel M. Purnine's co-authors include Michael P. Carey, Kate B. Carey, Stephen A. Maisto, Michael P. Carey, Jeffrey S. Simons and Randall Steven Jorgensen and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Behaviour Research and Therapy and The Journal of Nervous and Mental Disease.

In The Last Decade

Daniel M. Purnine

16 papers receiving 646 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel M. Purnine 286 253 252 247 239 17 699
Kathleen MacDonald 216 0.8× 200 0.8× 280 1.1× 171 0.7× 184 0.8× 25 752
Laura M. Garnier-Dykstra 301 1.1× 282 1.1× 232 0.9× 165 0.7× 133 0.6× 14 908
Linda Jenner 317 1.1× 265 1.0× 274 1.1× 145 0.6× 152 0.6× 26 832
Camila Magalhães Silveira 169 0.6× 133 0.5× 294 1.2× 205 0.8× 173 0.7× 23 825
A Lehmann 159 0.6× 181 0.7× 329 1.3× 153 0.6× 224 0.9× 26 883
Kimberly A. Blanchard 438 1.5× 83 0.3× 234 0.9× 306 1.2× 143 0.6× 16 746
Douglas R. Gavin 487 1.7× 88 0.3× 282 1.1× 230 0.9× 98 0.4× 12 825
Michael Dunne 186 0.7× 106 0.4× 346 1.4× 131 0.5× 105 0.4× 20 781
Ellen Vedel 228 0.8× 121 0.5× 435 1.7× 159 0.6× 193 0.8× 27 787
Brian E. Lozano 254 0.9× 154 0.6× 449 1.8× 134 0.5× 102 0.4× 15 739

Countries citing papers authored by Daniel M. Purnine

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Purnine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Purnine

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