New York Institute of Technology

3.0k papers and 53.9k indexed citations i.

About

In recent decades, authors affiliated with New York Institute of Technology have published 3.0k papers, which have received a total of 53.9k indexed citations. Scholars at this organization have produced 307 papers in Molecular Biology, 269 papers in Surgery and 208 papers in Biomedical Engineering on the topics of Evolution and Paleontology Studies (153 papers), Paleontology and Evolutionary Biology (98 papers) and Primate Behavior and Ecology (56 papers). Their work is cited by papers focused on Molecular Biology (5.7k citations), Paleontology (5.0k citations) and Biomedical Engineering (3.5k citations). Authors at New York Institute of Technology 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 New York Institute of Technology's most productive authors include J.‐C. Spender, Nikos Solounias, Edwin Catmull, Paul S. Heckbert, Xun Yu, Baoguo Han, Alvy Ray Smith, Robert M. Grant, M. Halioua and Jinping Ou.

In The Last Decade

Fields of papers published by authors at New York Institute of Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with New York Institute of Technology 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 New York Institute of Technology at the time of their publication.

Countries citing scholars working at New York Institute of Technology

Since Specialization
Citations

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