Language Resources and Evaluation

5.7k papers and 53.0k indexed citations i.

About

The 5.7k papers published in Language Resources and Evaluation in the last decades have received a total of 53.0k indexed citations. Papers published in Language Resources and Evaluation usually cover Artificial Intelligence (5.0k papers), Language and Linguistics (907 papers) and Information Systems (453 papers) specifically the topics of Natural Language Processing Techniques (3.9k papers), Topic Modeling (2.5k papers) and Speech and dialogue systems (1.1k papers). The most active scholars publishing in Language Resources and Evaluation are Fabrizio Sebastiani, Andrea Esuli, Jörg Tiedemann, Patrick Paroubek, Christopher D. Manning, Alexander Pak, Marie-Catherine de Marneffe, Stefano Baccianella, Bill MacCartney and Carlo Strapparava.

In The Last Decade

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.

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).

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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