Jordan Boyd‐Graber

84 papers and 2.4k indexed citations i.

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 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 12 papers in General Social Sciences and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jordan Boyd‐Graber’s work include Topic Modeling (65 papers), Natural Language Processing Techniques (43 papers) and Advanced Text Analysis Techniques (17 papers). Jordan Boyd‐Graber is often cited by papers focused on Topic Modeling (65 papers), Natural Language Processing Techniques (43 papers) and Advanced Text Analysis Techniques (17 papers). Jordan Boyd‐Graber collaborates with scholars based in United States, United Kingdom and China. Jordan Boyd‐Graber's co-authors include Hal Daumé, Philip Resnik, Leah Findlater, Alison Smith and Kevin Seppi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Machine Learning.

In The Last Decade

Fields of papers citing papers by Jordan Boyd‐Graber

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jordan Boyd‐Graber. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025