Matthew Piva

12 papers and 354 indexed citations i.

About

Matthew Piva is a scholar working on Social Psychology, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Matthew Piva has authored 12 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Matthew Piva’s work include Neuroendocrine regulation and behavior (5 papers), Attachment and Relationship Dynamics (3 papers) and Evolutionary Psychology and Human Behavior (3 papers). Matthew Piva is often cited by papers focused on Neuroendocrine regulation and behavior (5 papers), Attachment and Relationship Dynamics (3 papers) and Evolutionary Psychology and Human Behavior (3 papers). Matthew Piva collaborates with scholars based in United States, Canada and Italy. Matthew Piva's co-authors include Steve W. C. Chang, Olga Dal Monte, Xian Zhang, Joy Hirsch, J. Adam Noah, Craig D. C. Bailey, Evelyn K. Lambe, Ifat Levy, Amrita R. Nair and Avram J. Holmes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neurophysiology and Trends in Cognitive Sciences.

In The Last Decade

Co-authorship network of co-authors of Matthew Piva i

Fields of papers citing papers by Matthew Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Piva. 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 Matthew Piva. The network helps show where Matthew Piva may publish in the future.

Countries citing papers authored by Matthew Piva

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025