Distributed lag non‐linear models

1.7k indexed citations

Abstract

loading...

About

This paper, published in 2010, received 1.7k indexed citations. Written by Antonio Gasparrini, Ben Armstrong and Michael G. Kenward covering the research area of Health, Toxicology and Mutagenesis and Environmental Engineering. It is primarily cited by scholars working on Health, Toxicology and Mutagenesis (1.4k citations), General Health Professions (513 citations) and Physiology (338 citations). Published in Statistics in Medicine.

In The Last Decade

doi.org/10.1002/sim.3940 →

Countries where authors are citing Distributed lag non‐linear models

Specialization
Citations

This map shows the geographic impact of Distributed lag non‐linear models. 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 Distributed lag non‐linear models with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Distributed lag non‐linear models more than expected).

Fields of papers citing Distributed lag non‐linear models

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Distributed lag non‐linear models. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Distributed lag non‐linear models.

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/10.1002/sim.3940.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026