Emily Pitler

17 papers and 682 indexed citations i.

About

Emily Pitler is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Emily Pitler has authored 17 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Emily Pitler’s work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Text Readability and Simplification (4 papers). Emily Pitler is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Text Readability and Simplification (4 papers). Emily Pitler collaborates with scholars based in United States, Canada and United Kingdom. Emily Pitler's co-authors include Ani Nenkova, Annie Louis, Daniel Andor, Jacob Devlin, Michael Collins, Chris Alberti, Ryan McDonald, Tal Linzen, Dipanjan Das and R. Thomas McCoy and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, ScholarlyCommons (University of Pennsylvania) 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 Emily Pitler i

Fields of papers citing papers by Emily Pitler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emily Pitler

Since Specialization
Citations

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