Systems Analytics (United States)

438 papers and 6.3k indexed citations

About

In recent decades, authors affiliated with Systems Analytics (United States) have published 438 papers, which have received a total of 6.3k indexed citations. Scholars at this organization have produced 47 papers in Artificial Intelligence, 33 papers in Molecular Biology and 32 papers in Management Science and Operations Research on the topics of Financial Markets and Investment Strategies (9 papers), Data Quality and Management (8 papers) and Stock Market Forecasting Methods (8 papers). Their work is cited by papers focused on Molecular Biology (803 citations), Surgery (399 citations) and Physiology (379 citations). Authors at Systems Analytics (United States) collaborate with scholars in United States, United Kingdom and China and have published in prestigious journals including Nature, Angewandte Chemie International Edition and Nature Communications. Some of Systems Analytics (United States)'s most productive authors include Stanley B. Gershwin, Claude Klein, Alexander H. Bork, Markus Kubicek, Xudong Jiang, How‐Lung Eng, Richard M. Caprioli, Nico Verbeeck, Raf Van de Plas and Hau L. Lee.

In The Last Decade

Systems Analytics (United States)

346 papers receiving 6.2k citations

Countries citing scholars working at Systems Analytics (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Systems Analytics (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 Systems Analytics (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 Systems Analytics (United States) more than expected).

Fields of papers published by authors at Systems Analytics (United States)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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2026