Dan Iter

11 papers and 200 indexed citations i.

About

Dan Iter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dan Iter has authored 11 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Dan Iter’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (2 papers). Dan Iter is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (2 papers). Dan Iter collaborates with scholars based in United States and France. Dan Iter's co-authors include Chenguang Zhu, Shuohang Wang, Xu Yi‐chong, Ruochen Xu, Yang Liu, Dan Jurafsky, Kelvin Guu, Michael Zeng, Reid Pryzant and Jerry Li and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and USENIX Annual Technical Conference.

In The Last Decade

Co-authorship network of co-authors of Dan Iter i

Fields of papers citing papers by Dan Iter

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

Countries citing papers authored by Dan Iter

Since Specialization
Citations

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

Rankless by CCL
2025