Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

Abstract

loading...

About

This paper, published in 1950, received 326 indexed citations. Written by Iván Contreras and Josep Vehı́ covering the research area of Endocrinology, Diabetes and Metabolism, Health Information Management and Artificial Intelligence. It is primarily cited by scholars working on Health Information Management (130 citations), Endocrinology, Diabetes and Metabolism (116 citations) and Artificial Intelligence (108 citations). Published in Journal of Medical Internet Research.

In The Last Decade

doi.org/10.2196/10775 →

Countries where authors are citing Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

Since Specialization
Citations

This map shows the geographic impact of Artificial Intelligence for Diabetes Management and Decision Support: Literature Review. 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 Artificial Intelligence for Diabetes Management and Decision Support: Literature Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artificial Intelligence for Diabetes Management and Decision Support: Literature Review more than expected).

Fields of papers citing Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Artificial Intelligence for Diabetes Management and Decision Support: Literature Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Artificial Intelligence for Diabetes Management and Decision Support: Literature 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/10.2196/10775.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026