Joint Institute for Computational Sciences

700 papers and 26.1k indexed citations i.

About

In recent decades, authors affiliated with Joint Institute for Computational Sciences have published 700 papers, which have received a total of 26.1k indexed citations. Scholars at this organization have produced 233 papers in Nuclear and High Energy Physics, 198 papers in Atomic and Molecular Physics, and Optics and 154 papers in Materials Chemistry on the topics of Nuclear physics research studies (201 papers), Quantum Chromodynamics and Particle Interactions (68 papers) and Atomic and Molecular Physics (67 papers). Their work is cited by papers focused on Nuclear and High Energy Physics (8.9k citations), Atomic and Molecular Physics, and Optics (7.2k citations) and Materials Chemistry (5.7k citations). Authors at Joint Institute for Computational Sciences collaborate with scholars in United States, Poland and China and have published in prestigious journals including Science, Proceedings of the National Academy of Sciences and Physical Review Letters. Some of Joint Institute for Computational Sciences's most productive authors include W. Nazarewicz, Thom H. Dunning, Kirk A. Peterson, T. Egami, J. Dobaczewski, Mahshid Ahmadi, Bin Hu, Ariana Beste, Takuya Iwashita and M. V. Stoitsov.

In The Last Decade

Fields of papers published by authors at Joint Institute for Computational Sciences

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Joint Institute for Computational Sciences 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 Joint Institute for Computational Sciences at the time of their publication.

Countries citing scholars working at Joint Institute for Computational Sciences

Since Specialization

Citations

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