Institute of Art

1.8k papers and 77.4k indexed citations i.

About

In recent decades, authors affiliated with Institute of Art have published 1.8k papers, which have received a total of 77.4k indexed citations. Scholars at this organization have produced 447 papers in Molecular Biology, 219 papers in Computer Vision and Pattern Recognition and 159 papers in Artificial Intelligence on the topics of Multimodal Machine Learning Applications (57 papers), Pancreatic Islet Dysfunction and Regeneration (53 papers) and Advanced Neural Network Applications (50 papers). Their work is cited by papers focused on Molecular Biology (29.7k citations), Physiology (11.0k citations) and Surgery (8.8k citations). Authors at Institute of Art collaborate with scholars in Poland, United States and China and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of Institute of Art's most productive authors include Martin Rodbell, Jesse Roth, Samuel W. Cushman, Lawrence J. Wardzala, H.G. Windmueller, William B. Jakoby, Petra Kleinbongard, Nancy G. Nossal, Matthew M. Rechler and Leonard Laster.

In The Last Decade

Fields of papers published by authors at Institute of Art

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Art 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 Institute of Art at the time of their publication.

Countries citing scholars working at Institute of Art

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute of Art. 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 Institute of Art with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute of Art 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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2025