Hagit Shatkay

42 papers and 1.1k indexed citations i.

About

Hagit Shatkay is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hagit Shatkay has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 17 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hagit Shatkay’s work include Biomedical Text Mining and Ontologies (29 papers), Bioinformatics and Genomic Networks (10 papers) and Machine Learning in Bioinformatics (8 papers). Hagit Shatkay is often cited by papers focused on Biomedical Text Mining and Ontologies (29 papers), Bioinformatics and Genomic Networks (10 papers) and Machine Learning in Bioinformatics (8 papers). Hagit Shatkay collaborates with scholars based in United States, Canada and Germany. Hagit Shatkay's co-authors include W. John Wilbur, Ronen Feldman, Andrey Rzhetsky, Leslie Pack Kaelbling, Scott T. Brady, Stephen W. Edwards, Mark S. Boguski, Andrew Wong, Dorothea Blostein and Oliver Kohlbacher and has published in prestigious journals such as Bioinformatics, Genome biology and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Hagit Shatkay i

Fields of papers citing papers by Hagit Shatkay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hagit Shatkay

Since Specialization
Citations

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