Phenomenological Model of a Magnetorheological Damper

428 indexed citations
published 1996

Countries where authors are citing Phenomenological Model of a Magnetorheological Damper

Specialization
Citations

This map shows the geographic impact of Phenomenological Model of a Magnetorheological Damper. 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 Phenomenological Model of a Magnetorheological Damper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phenomenological Model of a Magnetorheological Damper more than expected).

Fields of papers citing Phenomenological Model of a Magnetorheological Damper

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Phenomenological Model of a Magnetorheological Damper. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Phenomenological Model of a Magnetorheological Damper.

About Phenomenological Model of a Magnetorheological Damper

This paper, published in 1996, received 428 indexed citations . Written by B. F. Spencer, Shirley J. Dyke, M.K. Sain and J. D. Carlson covering the research area of Control and Systems Engineering and Civil and Structural Engineering. It is primarily cited by scholars working on Civil and Structural Engineering (407 citations), Mechanical Engineering (126 citations) and Control and Systems Engineering (69 citations).

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.

This paper is also available at doi.org/w88710501.

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