Noémie Elhadad

124 papers and 3.9k indexed citations i.

About

Noémie Elhadad is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Noémie Elhadad has authored 124 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 43 papers in Molecular Biology and 24 papers in General Health Professions. Recurrent topics in Noémie Elhadad’s work include Biomedical Text Mining and Ontologies (43 papers), Topic Modeling (42 papers) and Natural Language Processing Techniques (25 papers). Noémie Elhadad is often cited by papers focused on Biomedical Text Mining and Ontologies (43 papers), Topic Modeling (42 papers) and Natural Language Processing Techniques (25 papers). Noémie Elhadad collaborates with scholars based in United States, United Kingdom and Israel. Noémie Elhadad's co-authors include Samuel Brody, Rimma Pivovarov, Shaodian Zhang, Regina Barzilay, Rimma Perotte, Stephen B. Johnson, Albert M. Lai, Raphael Cohen, Preethi Raghavan and Eric Fosler‐Lussier and has published in prestigious journals such as Nature Medicine, PLoS ONE and Science Advances.

In The Last Decade

Co-authorship network of co-authors of Noémie Elhadad i

Fields of papers citing papers by Noémie Elhadad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noémie Elhadad. 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 Noémie Elhadad. The network helps show where Noémie Elhadad may publish in the future.

Countries citing papers authored by Noémie Elhadad

Since Specialization
Citations

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