Transactions of the Association for Computational Linguistics

38.4k citations
742 papers · · active since 2016

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Sentiment Analysis and Opinion Mining
    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques

Papers in

    • Topic Modeling 598
    • Natural Language Processing Techniques 539
    • Text Readability and Simplification 93
    • Speech and dialogue systems 81
    • Advanced Text Analysis Techniques 60
    • Speech Recognition and Synthesis 48
    • Sentiment Analysis and Opinion Mining 33
    • Multimodal Machine Learning Applications 140

Transactions of the Association for Computational Linguistics

674 papers receiving 36.1k citations

Peers

Transactions of the Association for Computational Linguistics
Comparison fields: 5 of 198
  • Artificial Intelligence 31.0k
  • Computer Vision and Pattern Recognition 8.7k
  • Health Informatics 317
  • Information Systems 3.9k
  • General Social Sciences 536
Replace Natural Language Engineering with:
Natural Language Engineering United States
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery United States
ACM Transactions on Computer-Human Interaction United States
IEEE Computational Intelligence Magazine China
Information Retrieval United States
Semantic Web Germany
Cognitive Systems Research United States
The Knowledge Engineering Review United Kingdom
Computer Science Review India
ACM SIGIR Forum United States
Transactions of the Association for Computational Linguistics relative to Natural Language Engineering United States Natural Language Engineering's profile →
Citations per field
00.5×2×4×6.3×
Natural Language Engineering · 1×
Citations per year

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).

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.

About Transactions of the Association for Computational Linguistics

The 742 papers published in Transactions of the Association for Computational Linguistics in the last decades have received a total of 38.4k indexed citations . Papers published in Transactions of the Association for Computational Linguistics usually cover Artificial Intelligence (706 papers), Computer Vision and Pattern Recognition (152 papers), General Social Sciences (10 papers), Information Systems (40 papers) and Cultural Studies (13 papers) specifically the topics of Topic Modeling (598 papers), Natural Language Processing Techniques (539 papers), Multimodal Machine Learning Applications (140 papers), Text Readability and Simplification (93 papers), Speech and dialogue systems (81 papers), Advanced Text Analysis Techniques (60 papers), Speech Recognition and Synthesis (48 papers) and Sentiment Analysis and Opinion Mining (33 papers). The most active scholars publishing in Transactions of the Association for Computational Linguistics are Piotr Bojanowski, Tomáš Mikolov, Armand Joulin, Édouard Grave, Yoav Goldberg, Julia Hockenmaier, Alice Lai, Peter Young, Micah Hodosh and Ido Dagan.

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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