Mathematical Models for Hysteresis

375 indexed citations
published 1993
Authors
Jack W. MackiPaolo NistriPietro Zecca
Journal
SIAM Review

In The Last Decade

doi.org/10.1137/1035005 →

Countries where authors are citing Mathematical Models for Hysteresis

Specialization
Citations

This map shows the geographic impact of Mathematical Models for Hysteresis. 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 Mathematical Models for Hysteresis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathematical Models for Hysteresis more than expected).

Fields of papers citing Mathematical Models for Hysteresis

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Mathematical Models for Hysteresis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mathematical Models for Hysteresis.

About Mathematical Models for Hysteresis

This paper, published in 1993, received 375 indexed citations . Written by Jack W. Macki, Paolo Nistri and Pietro Zecca covering the research area of Electronic, Optical and Magnetic Materials, Mechanical Engineering and Mechanics of Materials. It is primarily cited by scholars working on Control and Systems Engineering (273 citations), Electronic, Optical and Magnetic Materials (171 citations) and Materials Chemistry (113 citations). Published in SIAM Review.

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/10.1137/1035005.

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