SUNY New Paltz

2.8k papers and 48.6k indexed citations i.

About

In recent decades, authors affiliated with SUNY New Paltz have published 2.8k papers, which have received a total of 48.6k indexed citations. Scholars at this organization have produced 351 papers in Computer Networks and Communications, 339 papers in Sociology and Political Science and 236 papers in Education on the topics of Cloud Computing and Resource Management (153 papers), IoT and Edge/Fog Computing (112 papers) and Parallel Computing and Optimization Techniques (92 papers). Their work is cited by papers focused on Sociology and Political Science (7.5k citations), Computer Networks and Communications (6.8k citations) and Information Systems (5.4k citations). Authors at SUNY New Paltz collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of SUNY New Paltz's most productive authors include Keqin Li, Eve Tuck, Kenli Li, Joel H. Neuman, Robert A. Baron, Kristin Backhaus, Surinder Tikoo, Spencer J. Salend, Narcyz Roztocki and Kate McCoy.

In The Last Decade

Fields of papers published by authors at SUNY New Paltz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with SUNY New Paltz 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 SUNY New Paltz at the time of their publication.

Countries citing scholars working at SUNY New Paltz

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at SUNY New Paltz. 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 SUNY New Paltz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SUNY New Paltz 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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