Transactions of the Association for Computational Linguistics

About

The 610 papers published in Transactions of the Association for Computational Linguistics in the last decades have received a total of 17.2k indexed citations. Papers published in Transactions of the Association for Computational Linguistics usually cover Artificial Intelligence (590 papers), Computer Vision and Pattern Recognition (123 papers) and Information Systems (31 papers) specifically the topics of Topic Modeling (501 papers), Natural Language Processing Techniques (453 papers) and Multimodal Machine Learning Applications (112 papers). The most active scholars publishing in Transactions of the Association for Computational Linguistics are Piotr Bojanowski, Armand Joulin, Édouard Grave, Tomáš Mikolov, Yoav Goldberg, Julia Hockenmaier, Peter Young, Micah Hodosh, Alice Lai and Ido Dagan.

In The Last Decade

Transactions of the Association for Computational Linguistics

529 papers receiving 16.4k citations

Fields of papers published in Transactions of the Association for Computational Linguistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Transactions of the Association for Computational Linguistics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Transactions of the Association for Computational Linguistics.

Countries where authors publish in Transactions of the Association for Computational Linguistics

Since Specialization
Citations

This map shows the geographic impact of research published in Transactions of the Association for Computational Linguistics. 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 papers published in Transactions of the Association for Computational Linguistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Transactions of the Association for Computational Linguistics 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