About
In recent decades, authors affiliated with Skidmore College have published 2.3k papers, which have received a total of 59.5k indexed citations.
Scholars at this organization have produced 376 papers in Sociology and Political Science, 274 papers in Social Psychology and 177 papers in Cognitive Neuroscience on the topics of Occupational Health and Performance (105 papers), Social and Intergroup Psychology (76 papers) and Death Anxiety and Social Exclusion (75 papers). Their work is cited by papers focused on Social Psychology (13.9k citations), Sociology and Political Science (10.8k citations) and Clinical Psychology (7.3k citations). Authors at Skidmore College collaborate with scholars in
United States,
Canada and
United Kingdom and have published in prestigious journals including
Nature,
Science and
Cell. Some of Skidmore College's most productive authors include
Sheldon Solomon,
Jeff Greenberg,
Tom Pyszczynski,
Mark A. Youndt,
Mohan Subramaniam,
David S. Domozych,
Denise L. Smith,
Jamie Arndt,
Abram Rosenblatt and
Scott A. Snell.
This network shows the impact of papers affiliated with Skidmore College at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Skidmore College at the time of their publication.
This map shows the geographic impact of research produced by authors working at Skidmore College. 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 papers produced at Skidmore College with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Skidmore College 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.
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