Daniel Khashabi

36 papers and 1.3k indexed citations i.

About

Daniel Khashabi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daniel Khashabi has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Daniel Khashabi’s work include Natural Language Processing Techniques (29 papers), Topic Modeling (28 papers) and Multimodal Machine Learning Applications (8 papers). Daniel Khashabi is often cited by papers focused on Natural Language Processing Techniques (29 papers), Topic Modeling (28 papers) and Multimodal Machine Learning Applications (8 papers). Daniel Khashabi collaborates with scholars based in United States, Israel and Hong Kong. Daniel Khashabi's co-authors include Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Dan Roth, Swaroop Mishra, Peter E. Clark, Chitta Baral, Oyvind Tafjord, Sewon Min and Ben Zhou and has published in prestigious journals such as IEEE Transactions on Image Processing, AI Magazine and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Daniel Khashabi i

Fields of papers citing papers by Daniel Khashabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Khashabi

Since Specialization
Citations

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