Ian Tenney

11 papers and 842 indexed citations i.

About

Ian Tenney is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ian Tenney has authored 11 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Ian Tenney’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (2 papers). Ian Tenney is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (2 papers). Ian Tenney collaborates with scholars based in United States and Israel. Ian Tenney's co-authors include Ellie Pavlick, Dipanjan Das, Elahe Rahimtoroghi, Amil Merchant, Xikun Zhang, Deepak Ramachandran, Yanai Elazar, Dan Roth, Tolga Bolukbasi and Ann Yuan and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ian Tenney i

Fields of papers citing papers by Ian Tenney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ian Tenney

Since Specialization
Citations

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