Language Resources and Evaluation

76.6k citations
5.7k papers · · active since 1950

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Speech and dialogue systems
    • Sentiment Analysis and Opinion Mining
    • Semantic Web and Ontologies
    • Text Readability and Simplification
    • Speech Recognition and Synthesis

Papers in

    • Natural Language Processing Techniques 3.9k
    • Topic Modeling 2.5k
    • Speech and dialogue systems 1.1k
    • Semantic Web and Ontologies 1.1k
    • Advanced Text Analysis Techniques 483
    • Speech Recognition and Synthesis 411
    • Text Readability and Simplification 325
    • Lexicography and Language Studies 329

Language Resources and Evaluation

5.1k papers receiving 64.9k citations

Peers

Language Resources and Evaluation
Comparison fields: 5 of 200
  • Artificial Intelligence 63.7k
  • Language and Linguistics 7.2k
  • Experimental and Cognitive Psychology 7.0k
  • Signal Processing 5.0k
  • Human-Computer Interaction 2.1k
Replace Cognitive Science with:
Cognitive Science United States
Artificial Intelligence United States
Behavior Research Methods United States
Speech Communication United States
Educational and Psychological Measurement United States
The American Journal of Psychology United States
Memory & Cognition United States
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The Philosophical Review United States
Psychonomic Bulletin & Review United States
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Citations per field
00.5×1.5×
Cognitive Science · 1×
Citations per year

Countries where authors publish in Language Resources and Evaluation

Since Specialization
Citations

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

Fields of papers published in Language Resources and Evaluation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Language Resources and Evaluation. 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 Language Resources and Evaluation.

About Language Resources and Evaluation

The 5.7k papers published in Language Resources and Evaluation in the last decades have received a total of 76.6k indexed citations . Papers published in Language Resources and Evaluation usually cover Artificial Intelligence (5.0k papers), Language and Linguistics (910 papers), Human-Computer Interaction (175 papers), Experimental and Cognitive Psychology (374 papers) and Linguistics and Language (91 papers) specifically the topics of Natural Language Processing Techniques (3.9k papers), Topic Modeling (2.5k papers), Speech and dialogue systems (1.1k papers), Semantic Web and Ontologies (1.1k papers), Advanced Text Analysis Techniques (483 papers), Speech Recognition and Synthesis (411 papers), Lexicography and Language Studies (329 papers) and Text Readability and Simplification (325 papers). The most active scholars publishing in Language Resources and Evaluation are Fabrizio Sebastiani, Andrea Esuli, Jörg Tiedemann, Christopher D. Manning, Marie-Catherine de Marneffe, Stefano Baccianella, Bill MacCartney, Carlo Strapparava, Alessandro Valitutti and Marco Baroni.

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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