Richard C. LaBarba

50 total papers · 696 total citations
36 papers, 448 citations indexed

About

Richard C. LaBarba is a scholar working on Social Psychology, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Richard C. LaBarba has authored 36 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Social Psychology, 12 papers in Cognitive Neuroscience and 7 papers in Behavioral Neuroscience. Recurrent topics in Richard C. LaBarba's work include Hemispheric Asymmetry in Neuroscience (10 papers), Neuroendocrine regulation and behavior (9 papers) and Stress Responses and Cortisol (7 papers). Richard C. LaBarba is often cited by papers focused on Hemispheric Asymmetry in Neuroscience (10 papers), Neuroendocrine regulation and behavior (9 papers) and Stress Responses and Cortisol (7 papers). Richard C. LaBarba collaborates with scholars based in United States and United Kingdom. Richard C. LaBarba's co-authors include Clint Bowers, Ann C. Marcotte, Sheryl A. Kingsberg, R. Scott Lutz, Michael Cross, Patricia Martín, M. Klein, Janis A. Cannon‐Bowers and Catherine C. Price and has published in prestigious journals such as Developmental Psychology, Neuropsychologia and Psychosomatic Medicine.

In The Last Decade

Richard C. LaBarba

36 papers receiving 391 citations

Author Peers

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

Author Last Decade Papers Cites
Richard C. LaBarba 117 108 74 72 65 36 448
Daniel Mellier 129 1.1× 114 1.1× 77 1.0× 36 0.5× 99 1.5× 42 464
Otto Weininger 74 0.6× 110 1.0× 23 0.3× 92 1.3× 99 1.5× 39 502
Alexander J. Dufford 120 1.0× 110 1.0× 207 2.8× 115 1.6× 41 0.6× 30 494
Brendan Ostlund 104 0.9× 78 0.7× 202 2.7× 158 2.2× 42 0.6× 18 489
Shinichiro Takiguchi 50 0.4× 102 0.9× 192 2.6× 150 2.1× 26 0.4× 32 451
Satu J. Lehtola 214 1.8× 58 0.5× 124 1.7× 79 1.1× 16 0.2× 21 415
Lourdes P. Dale 60 0.5× 52 0.5× 33 0.4× 234 3.3× 39 0.6× 22 487
Margaret M. Swingler 69 0.6× 109 1.0× 130 1.8× 232 3.2× 13 0.2× 23 437
Magdalena Martínez‐Garcia 106 0.9× 144 1.3× 111 1.5× 75 1.0× 45 0.7× 23 441
R.D. Griesel 111 0.9× 56 0.5× 54 0.7× 35 0.5× 39 0.6× 21 444

Countries citing papers authored by Richard C. LaBarba

Since Specialization
Citations

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

Fields of papers citing papers by Richard C. LaBarba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard C. LaBarba. 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 Richard C. LaBarba. The network helps show where Richard C. LaBarba may publish in the future.

Co-authorship network of co-authors of Richard C. LaBarba

This figure shows the co-authorship network connecting the top 25 collaborators of Richard C. LaBarba. A scholar is included among the top collaborators of Richard C. LaBarba 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 Richard C. LaBarba. Richard C. LaBarba 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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