Jordan Boyd‐Graber

223 total papers · 9.1k total citations
38 papers, 1.6k citations indexed

About

Jordan Boyd‐Graber is a scholar working on Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jordan Boyd‐Graber has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 8 papers in General Social Sciences and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jordan Boyd‐Graber’s work include Topic Modeling (25 papers), Natural Language Processing Techniques (17 papers) and Computational and Text Analysis Methods (8 papers). Jordan Boyd‐Graber is often cited by papers focused on Topic Modeling (25 papers), Natural Language Processing Techniques (17 papers) and Computational and Text Analysis Methods (8 papers). Jordan Boyd‐Graber collaborates with scholars based in United States, United Kingdom and Germany. Jordan Boyd‐Graber's co-authors include David M. Blei, Jonathan Chang, Chong Wang, Sean Gerrish, Yuening Hu, Alison Smith, Xiaojin Zhu, Viet-An Nguyen, Ke Zhai and Philip Resnik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cognitive Science.

In The Last Decade

Co-authorship network of co-authors of Jordan Boyd‐Graber

This figure shows the co-authorship network connecting the top 25 collaborators of Jordan Boyd‐Graber. A scholar is included among the top collaborators of Jordan Boyd‐Graber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jordan Boyd‐Graber. Jordan Boyd‐Graber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Jordan Boyd‐Graber

36 papers receiving 1.5k citations

Fields of papers citing papers by Jordan Boyd‐Graber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordan Boyd‐Graber. 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 Jordan Boyd‐Graber. The network helps show where Jordan Boyd‐Graber may publish in the future.

Countries citing papers authored by Jordan Boyd‐Graber

Since Specialization
Citations

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