Julia Hockenmaier

39 papers and 3.6k indexed citations i.

About

Julia Hockenmaier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Julia Hockenmaier has authored 39 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Language and Linguistics. Recurrent topics in Julia Hockenmaier’s work include Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Multimodal Machine Learning Applications (11 papers). Julia Hockenmaier is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Multimodal Machine Learning Applications (11 papers). Julia Hockenmaier collaborates with scholars based in United States, United Kingdom and Canada. Julia Hockenmaier's co-authors include Micah Hodosh, Peter Young, Alice Lai, Bryan A. Plummer, Svetlana Lazebnik, Mark Steedman, Juan Carlos Caicedo, Liwei Wang, Cyrus Rashtchian and Miles Osborne and has published in prestigious journals such as Polymer, Proteins Structure Function and Bioinformatics and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Julia Hockenmaier i

Fields of papers citing papers by Julia Hockenmaier

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 Julia Hockenmaier. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Julia Hockenmaier may publish in the future.

Countries citing papers authored by Julia Hockenmaier

Since Specialization
Citations

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

Rankless by CCL
2025