Chris Alberti

About

Chris Alberti is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Chris Alberti has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Chris Alberti’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Multimodal Machine Learning Applications (5 papers). Chris Alberti is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Multimodal Machine Learning Applications (5 papers). Chris Alberti collaborates with scholars based in United States, Germany and Egypt. Chris Alberti's co-authors include Michael Collins, Slav Petrov, Jacob Devlin, David J. Weiss, Jennimaria Palomaki, Daniel Andor, Illia Polosukhin, Ankur P. Parikh, Kenton Lee and Quoc V. Le and has published in prestigious journals such as Photogrammetric Engineering & Remote Sensing, Transactions of the Association for Computational Linguistics and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Chris Alberti i

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Fields of papers citing papers by Chris Alberti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chris Alberti

Since Specialization

Citations

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