Antoine Lamer

67 papers and 402 indexed citations i.

About

Antoine Lamer is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Antoine Lamer has authored 67 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Cardiology and Cardiovascular Medicine and 15 papers in Health Information Management. Recurrent topics in Antoine Lamer’s work include Electronic Health Records Systems (11 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers) and Machine Learning in Healthcare (9 papers). Antoine Lamer is often cited by papers focused on Electronic Health Records Systems (11 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers) and Machine Learning in Healthcare (9 papers). Antoine Lamer collaborates with scholars based in France, Germany and Canada. Antoine Lamer's co-authors include Romaric Marcilly, August Dorn, Emmanuel Chazard, B. Tavernier, Mouhamed Djahoum Moussa, A. Parrot, B. Vallet, Grégoire Ficheur, Sylvia Pelayo and Mehdi El Amrani and has published in prestigious journals such as Journal of the American Geriatrics Society, Journal of Bone and Mineral Research and Anesthesiology.

In The Last Decade

Co-authorship network of co-authors of Antoine Lamer i

Fields of papers citing papers by Antoine Lamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antoine Lamer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antoine Lamer. The network helps show where Antoine Lamer may publish in the future.

Countries citing papers authored by Antoine Lamer

Since Specialization
Citations

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

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.

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2025