Dan Iter

4 papers and 30 indexed citations i.

About

Dan Iter is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Dan Iter has authored 4 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Dan Iter’s work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Parallel Computing and Optimization Techniques (1 paper). Dan Iter is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Parallel Computing and Optimization Techniques (1 paper). Dan Iter collaborates with scholars based in United States. Dan Iter's co-authors include David Grangier, Francisco Romero, Keith Winstein, Matei Zaharia, Sadjad Fouladi, Christos Kozyrakis, Dan Jurafsky, Bryan He, Peng Xu and Rose Yu and has published in prestigious journals such as arXiv (Cornell University), USENIX Annual Technical Conference and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

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

Fields of papers citing papers by Dan Iter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Iter. 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 Dan Iter. 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 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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2026