Meirav Taieb‐Maimon

21 papers and 472 indexed citations i.

About

Meirav Taieb‐Maimon is a scholar working on Artificial Intelligence, Signal Processing and Health Information Management. According to data from OpenAlex, Meirav Taieb‐Maimon has authored 21 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Health Information Management. Recurrent topics in Meirav Taieb‐Maimon’s work include Electronic Health Records Systems (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Data Visualization and Analytics (3 papers). Meirav Taieb‐Maimon is often cited by papers focused on Electronic Health Records Systems (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Data Visualization and Analytics (3 papers). Meirav Taieb‐Maimon collaborates with scholars based in Israel, United States and Japan. Meirav Taieb‐Maimon's co-authors include David Shinar, Yuval Shaḥar, Denis Klimov, Bracha Shapira, Julie Cwikel, Catherine Plaisant, Ben Shneiderman, Guy Shani, Rami Puzis and Krist Wongsuphasawat and has published in prestigious journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, International Journal of Human-Computer Studies and Applied Ergonomics.

In The Last Decade

Co-authorship network of co-authors of Meirav Taieb‐Maimon i

Fields of papers citing papers by Meirav Taieb‐Maimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meirav Taieb‐Maimon. 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 Meirav Taieb‐Maimon. The network helps show where Meirav Taieb‐Maimon may publish in the future.

Countries citing papers authored by Meirav Taieb‐Maimon

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025