Saadia Gabriel

12 papers and 325 indexed citations i.

About

Saadia Gabriel is a scholar working on Artificial Intelligence, Sociology and Political Science and Safety Research. According to data from OpenAlex, Saadia Gabriel has authored 12 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Safety Research. Recurrent topics in Saadia Gabriel’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (4 papers). Saadia Gabriel is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (4 papers). Saadia Gabriel collaborates with scholars based in United States, Japan and Canada. Saadia Gabriel's co-authors include Yejin Choi, Maarten Sap, Lianhui Qin, Noah A. Smith, Dan Jurafsky, Dipankar Ray, Ece Kamar, Hamid Palangi, Thomas Hartvigsen and Aslı Çelikyılmaz and has published in prestigious journals such as Nature Machine Intelligence, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Saadia Gabriel i

Fields of papers citing papers by Saadia Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saadia Gabriel

Since Specialization
Citations

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