Carissa Schoenick

About

Carissa Schoenick is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Carissa Schoenick has authored 5 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Carissa Schoenick’s work include Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers) and Multimodal Machine Learning Applications (1 paper). Carissa Schoenick is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers) and Multimodal Machine Learning Applications (1 paper). Carissa Schoenick collaborates with scholars based in United States. Carissa Schoenick's co-authors include Oyvind Tafjord, Peter D. Turney, Peter E. Clark, Oren Etzioni, Kyle Richardson, Lucy Lu Wang, Ashish Sabharwal, Waleed Ammar, Michael Schmitz and Sam Skjonsberg and has published in prestigious journals such as Communications of the ACM, AI Magazine and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Carissa Schoenick i

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Fields of papers citing papers by Carissa Schoenick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carissa Schoenick

Since Specialization

Citations

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