Identification of parametric models : from experimental data

861 indexed citations

Abstract

loading...

About

This paper, published in 1997, received 861 indexed citations. Written by Éric Walter and Luc Pronzato covering the research area of . It is primarily cited by scholars working on Control and Systems Engineering (382 citations), Molecular Biology (147 citations) and Artificial Intelligence (105 citations). Published in Medical Entomology and Zoology.

In The Last Decade

doi.org/w39179016 →

Countries where authors are citing Identification of parametric models : from experimental data

Specialization
Citations

This map shows the geographic impact of Identification of parametric models : from experimental data. 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 Identification of parametric models : from experimental data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Identification of parametric models : from experimental data more than expected).

Fields of papers citing Identification of parametric models : from experimental data

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Identification of parametric models : from experimental data. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Identification of parametric models : from experimental data.

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/w39179016.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026