Michael Elhadad

About

Michael Elhadad is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Elhadad has authored 45 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 10 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Elhadad’s work include Natural Language Processing Techniques (36 papers), Topic Modeling (34 papers) and Biomedical Text Mining and Ontologies (10 papers). Michael Elhadad is often cited by papers focused on Natural Language Processing Techniques (36 papers), Topic Modeling (34 papers) and Biomedical Text Mining and Ontologies (10 papers). Michael Elhadad collaborates with scholars based in Israel, United States and Brazil. Michael Elhadad's co-authors include Yoav Goldberg, Kathleen McKeown, Regina Barzilay, Raphael Cohen, Noémie Elhadad, Tal Baumel, Matan Eyal, Meni Adler, Jacques Robin and Ohad S. Birk and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

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

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Fields of papers citing papers by Michael Elhadad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Elhadad

Since Specialization

Citations

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