Phoebe Mulcaire

5 papers and 66 indexed citations i.

About

Phoebe Mulcaire is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Education. According to data from OpenAlex, Phoebe Mulcaire has authored 5 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Education. Recurrent topics in Phoebe Mulcaire’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (2 papers). Phoebe Mulcaire is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (2 papers). Phoebe Mulcaire collaborates with scholars based in United States. Phoebe Mulcaire's co-authors include Noah A. Smith, Jungo Kasai, Swabha Swayamdipta, Nikolaos Pappas, Sarah Goodwin, Yigal Attali and Geoffrey T. LaFlair and has published in prestigious journals such as Language Testing and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Phoebe Mulcaire i

Fields of papers citing papers by Phoebe Mulcaire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Phoebe Mulcaire

Since Specialization
Citations

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