Darlene V. Howard

107 total papers · 6.6k total citations
92 papers, 4.9k citations indexed

About

Darlene V. Howard is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Darlene V. Howard has authored 92 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cognitive Neuroscience, 43 papers in Developmental and Educational Psychology and 19 papers in Social Psychology. Recurrent topics in Darlene V. Howard's work include Child and Animal Learning Development (28 papers), Neural and Behavioral Psychology Studies (21 papers) and Action Observation and Synchronization (19 papers). Darlene V. Howard is often cited by papers focused on Child and Animal Learning Development (28 papers), Neural and Behavioral Psychology Studies (21 papers) and Action Observation and Synchronization (19 papers). Darlene V. Howard collaborates with scholars based in United States, Hungary and Spain. Darlene V. Howard's co-authors include James H. Howard, Chandan J. Vaidya, Ilana J. Bennett, James H. Howard, Sunbin Song, David J. Madden, Sharon A. Mutter, Nancy A. Dennis, Mary Pat McAndrews and Guinevere F. Eden and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Darlene V. Howard

92 papers receiving 4.8k citations

Author Peers

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

Author Last Decade Papers Cites
Darlene V. Howard 3.7k 1.8k 915 615 495 92 4.9k
Gabriele Miceli 4.4k 1.2× 2.8k 1.6× 700 0.8× 1.0k 1.7× 465 0.9× 133 5.8k
John W. VanMeter 3.0k 0.8× 875 0.5× 412 0.5× 712 1.2× 787 1.6× 105 4.8k
Stefan Heim 2.6k 0.7× 1.5k 0.8× 424 0.5× 585 1.0× 383 0.8× 121 3.7k
Anna Basso 2.9k 0.8× 1.0k 0.6× 517 0.6× 435 0.7× 509 1.0× 84 3.6k
Erminio Capitani 4.4k 1.2× 1.2k 0.7× 931 1.0× 945 1.5× 1.7k 3.5× 112 6.7k
Martha Ann Bell 2.1k 0.6× 1.2k 0.7× 946 1.0× 962 1.6× 682 1.4× 184 6.1k
Jenny Crinion 4.5k 1.2× 1.6k 0.9× 435 0.5× 622 1.0× 505 1.0× 76 5.3k
Juliana V. Baldo 2.9k 0.8× 946 0.5× 431 0.5× 668 1.1× 853 1.7× 63 4.2k
Nathalie Tzourio‐Mazoyer 3.8k 1.0× 782 0.4× 451 0.5× 709 1.2× 707 1.4× 81 5.3k
Marcella Laiacona 4.1k 1.1× 1.2k 0.7× 817 0.9× 981 1.6× 1.9k 3.9× 89 6.6k

Countries citing papers authored by Darlene V. Howard

Since Specialization
Citations

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

Fields of papers citing papers by Darlene V. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darlene V. Howard. 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 Darlene V. Howard. The network helps show where Darlene V. Howard may publish in the future.

Co-authorship network of co-authors of Darlene V. Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Darlene V. Howard. A scholar is included among the top collaborators of Darlene V. Howard 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 Darlene V. Howard. Darlene V. Howard 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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