Dafna Shahaf

35 papers and 412 indexed citations i.

About

Dafna Shahaf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dafna Shahaf has authored 35 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Dafna Shahaf’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (9 papers). Dafna Shahaf is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (9 papers). Dafna Shahaf collaborates with scholars based in United States, Israel and Denmark. Dafna Shahaf's co-authors include Carlos Guestrin, Joel Chan, Aniket Kittur, Eric Horvitz, Tom Hope, Eyal Amir, Felicia Ng, Joseph Chee Chang, Lixiu Yu and Hila Lifshitz‐Assaf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Communications of the ACM and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Dafna Shahaf i

Fields of papers citing papers by Dafna Shahaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dafna Shahaf

Since Specialization
Citations

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