Transactions of the Association for Computational Linguistics

33.7k citations
645 papers · · active since 1950

Impact in

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

Papers in

    • Topic Modeling 518
    • Natural Language Processing Techniques 467
    • Text Readability and Simplification 75
    • Speech and dialogue systems 70
    • Advanced Text Analysis Techniques 56
    • Speech Recognition and Synthesis 46
    • Sentiment Analysis and Opinion Mining 31
    • Multimodal Machine Learning Applications 116

Transactions of the Association for Computational Linguistics

589 papers receiving 31.5k citations

Peers

Transactions of the Association for Computational Linguistics
Comparison fields: 5 of 196
  • Artificial Intelligence 27.4k
  • Computer Vision and Pattern Recognition 7.5k
  • Health Informatics 290
  • General Social Sciences 498
  • Information Systems 3.6k
Replace Natural Language Engineering with:
Natural Language Engineering United States
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery United States
IEEE Computational Intelligence Magazine China
Semantic Web Germany
ACM Transactions on Computer-Human Interaction United States
Cognitive Systems Research United States
Information Retrieval 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
00.5×5.4×
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 645 papers published in Transactions of the Association for Computational Linguistics in the last decades have received a total of 33.7k indexed citations . Papers published in Transactions of the Association for Computational Linguistics usually cover Artificial Intelligence (617 papers), Computer Vision and Pattern Recognition (128 papers), General Social Sciences (8 papers), Information Systems (34 papers) and Signal Processing (16 papers) specifically the topics of Topic Modeling (518 papers), Natural Language Processing Techniques (467 papers), Multimodal Machine Learning Applications (116 papers), Text Readability and Simplification (75 papers), Speech and dialogue systems (70 papers), Advanced Text Analysis Techniques (56 papers), Speech Recognition and Synthesis (46 papers) and Sentiment Analysis and Opinion Mining (31 papers). The most active scholars publishing in Transactions of the Association for Computational Linguistics are Édouard Grave, Piotr Bojanowski, Armand Joulin, Tomáš Mikolov, 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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