Chloé Kiddon

8 papers and 249 indexed citations i.

About

Chloé Kiddon is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Chloé Kiddon has authored 8 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Chloé Kiddon’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Bayesian Modeling and Causal Inference (2 papers). Chloé Kiddon is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Bayesian Modeling and Causal Inference (2 papers). Chloé Kiddon collaborates with scholars based in United States. Chloé Kiddon's co-authors include Yejin Choi, Luke Zettlemoyer, Yuriy Brun, Pedro Domingos, Trond Grenager, Bill MacCartney, Marie-Catherine de Marneffe, Christopher D. Manning, Nathanael Chambers and Daniel Ramage and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), Meeting of the Association for Computational Linguistics and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Chloé Kiddon i

Fields of papers citing papers by Chloé Kiddon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chloé Kiddon

Since Specialization
Citations

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