Daniel S. Lumian

18 total papers · 1.0k total citations
15 papers, 698 citations indexed

About

Daniel S. Lumian is a scholar working on Clinical Psychology, Behavioral Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Daniel S. Lumian has authored 15 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Psychology, 6 papers in Behavioral Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Daniel S. Lumian's work include Child and Adolescent Psychosocial and Emotional Development (7 papers), Stress Responses and Cortisol (6 papers) and Neural and Behavioral Psychology Studies (3 papers). Daniel S. Lumian is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (7 papers), Stress Responses and Cortisol (6 papers) and Neural and Behavioral Psychology Studies (3 papers). Daniel S. Lumian collaborates with scholars based in United States and Australia. Daniel S. Lumian's co-authors include Bonnie Goff, Nim Tottenham, Laurel J. Gabard‐Durnam, Jessica Flannery, Christina Caldera, Dylan G. Gee, Dominic S. Fareri, Eva H. Telzer, Kathryn L. Humphreys and Mor Shapiro and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Psychological Science.

In The Last Decade

Daniel S. Lumian

15 papers receiving 688 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 S. Lumian 424 219 182 177 153 15 698
Matthew J. Sutterer 318 0.8× 128 0.6× 255 1.4× 175 1.0× 79 0.5× 13 720
Anna E. Johnson 472 1.1× 168 0.8× 111 0.6× 216 1.2× 86 0.6× 12 704
Vanessa B. Puetz 463 1.1× 115 0.5× 128 0.7× 130 0.7× 98 0.6× 24 640
Mayadah Al-Shabbout 340 0.8× 116 0.5× 137 0.8× 232 1.3× 186 1.2× 13 692
Sanny Smeekens 383 0.9× 207 0.9× 82 0.5× 81 0.5× 94 0.6× 22 571
Sónia Alves 543 1.3× 99 0.5× 87 0.5× 169 1.0× 120 0.8× 13 726
Michelle VanTieghem 238 0.6× 122 0.6× 166 0.9× 124 0.7× 89 0.6× 24 566
Kelly Sambrook 367 0.9× 81 0.4× 173 1.0× 140 0.8× 103 0.7× 15 629
Ryan J. Giuliano 277 0.7× 120 0.5× 182 1.0× 74 0.4× 148 1.0× 34 675
Philip A. Kelly 501 1.2× 97 0.4× 112 0.6× 136 0.8× 71 0.5× 9 734

Countries citing papers authored by Daniel S. Lumian

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Lumian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Lumian

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