The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jordan Boyd-Graber sits on this spectrum.
This scientist: 176 publications — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jordan Boyd-Graber sits on this spectrum.
This scientist: 49 D-Index — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Jordan Boyd-Graber is affiliated with the University of Maryland, College Park in the United States. Their research primarily centers on computer science, with a particular focus on artificial intelligence as the main subfield. The body of work includes contributions in computer vision and pattern recognition, general social sciences, signal processing, and information systems.
Their research topics encompass several areas, notably:
Boyd-Graber has published extensively in a variety of academic venues. The most frequent venue for their publications is arXiv (Cornell University), with 40 publications. Other notable venues include the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), JMIR Formative Research, and Proceedings of the AAAI Conference on Artificial Intelligence.
The following are some recent papers authored or co-authored by Boyd-Graber:
Frequent collaborators in Boyd-Graber's work include Chen Zhao, Chenglei Si, Hal Daumé, Michelle Yuan, and Alexander Hoyle. Collaboration counts with these co-authors range from four to eight joint publications, signaling ongoing partnerships in various research endeavors.
Jonathan Chang;Sean Gerrish;Chong Wang;Jordan L. Boyd-graber
Mohit Iyyer;Varun Manjunatha;Jordan Boyd-Graber;Hal Daumé Iii
Mohit Iyyer;Jordan Boyd-Graber;Leonardo Claudino;Richard Socher
Yuening Hu;Jordan Boyd-Graber;Brianna Satinoff
Mohit Iyyer;Peter Enns;Jordan Boyd-Graber;Philip Resnik
Jordan Boyd-Graber;David Blei;Xiaojin Zhu
Jordan L. Boyd-Graber;Yuening Hu;David M. Mimno
Shi Feng;Eric Wallace;Alvin Grissom;Mohit Iyyer
Jordan L. Boyd-graber;David M. Blei
Philip Resnik;William Armstrong;Leonardo Claudino;Thang Nguyen
Unknown
Ke Zhai;Jordan Boyd-Graber;Nima Asadi;Mohamad L. Alkhouja
He He;Jordan Boyd-Graber;Kevin Kwok;Hal Daumé
Jordan Boyd-Graber;Christiane Fellbaum;Daniel Osherson;Robert Schapire
Jonathan Chang;Jordan Boyd-Graber;David M. Blei
Unknown
Edoardo M. Airoldi;David M. Blei;Elena A. Erosheva;Stephen E. Fienberg
Ahmed Elgohary;Denis Peskov;Jordan L. Boyd-Graber
Mohit Iyyer;Anupam Guha;Snigdha Chaturvedi;Jordan L. Boyd-Graber
Jordan Boyd-Graber;Philip Resnik
Jordan Boyd-Graber;David M. Blei
Michelle Yuan;Hsuan-Tien Lin;Jordan L. Boyd-Graber
Thomas Diggelmann;Jordan L. Boyd-Graber;Jannis Bulian;Massimiliano Ciaramita
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