Predictive Science (United States)

516 papers and 17.0k indexed citations i.

About

In recent decades, authors affiliated with Predictive Science (United States) have published 516 papers, which have received a total of 17.0k indexed citations. Scholars at this organization have produced 271 papers in Astronomy and Astrophysics, 134 papers in Molecular Biology and 46 papers in Oncology on the topics of Solar and Space Plasma Dynamics (266 papers), Ionosphere and magnetosphere dynamics (168 papers) and Stellar, planetary, and galactic studies (101 papers). Their work is cited by papers focused on Astronomy and Astrophysics (8.2k citations), Molecular Biology (5.8k citations) and Spectroscopy (1.4k citations). Authors at Predictive Science (United States) collaborate with scholars in United States, United Kingdom and France and have published in prestigious journals including Science, Proceedings of the National Academy of Sciences and Nature Communications. Some of Predictive Science (United States)'s most productive authors include Pete Riley, J. A. Linker, Z. Mikić, R. Lionello, Tibor Török, V. S. Titov, Jimmy K. Eng, Barbara Garvik, Gregory J. Mize and John R. Yates.

In The Last Decade

Fields of papers published by authors at Predictive Science (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Predictive Science (United States) 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 Predictive Science (United States) at the time of their publication.

Countries citing scholars working at Predictive Science (United States)

Since Specialization

Citations

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