National Academies of Sciences, Engineering, and Medicine · 1×
×3.9752/191NEE
×2.94k/1kCGCD
×6.37k/1kPALEO
×0.88k/10kCVPR
×1.85k/3kSM
Citations per year
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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).
Fields of papers published by authors at New York Institute of Technology
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.
About New York Institute of Technology
In recent decades, authors affiliated with New York Institute of Technology have published 4.0k papers, which have received a total of 87.8k indexed citations . Scholars at this organization have produced 16 papers in Nuclear Energy and Engineering, 210 papers in Paleontology, 15 papers in Health Informatics, 271 papers in Computer Networks and Communications and 24 papers in Developmental Biology on the topics of Evolution and Paleontology Studies (182 papers), Paleontology and Evolutionary Biology (119 papers), Primate Behavior and Ecology (66 papers), Amphibian and Reptile Biology (57 papers), Ichthyology and Marine Biology (54 papers), Advanced Malware Detection Techniques (52 papers), Wildlife Ecology and Conservation (49 papers) and Smart Materials for Construction (46 papers). Their work is cited by papers focused on Nuclear Energy and Engineering (752 citations), Computer Graphics and Computer-Aided Design (4.0k citations), Paleontology (7.1k citations), Computer Vision and Pattern Recognition (7.5k citations) and Strategy and Management (4.7k citations). Authors at New York Institute of Technology collaborate with scholars in United States, China and Canada and have published in prestigious journals including Journal of Vertebrate Paleontology, Scientific Reports, PLoS ONE, The FASEB Journal and The Anatomical Record. Some of New York Institute of Technology's most productive authors include J.‐C. Spender, Sanjay Tyagi, Fred Russell Kramer, Alvy Ray Smith, Lance R. Williams, Nikos Solounias, Paul S. Heckbert, Edwin Catmull, Xun Yu and David Ron.
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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