Transactions of the Association for Computational Linguistics · 1×
×0.517k/37kAI
×0.63k/4kIS
×0.91k/1kLL
×0.5172/359HI
×0.4256/664GSS
Citations per year
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Countries where authors publish in Natural Language Engineering
Since Specialization
Citations
This map shows the geographic impact of research published in Natural Language Engineering. 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 Natural Language Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natural Language Engineering more than expected).
Fields of papers published in Natural Language Engineering
This network shows the impact of papers published in Natural Language Engineering. 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 Natural Language Engineering.
About Natural Language Engineering
The 708 papers published in Natural Language Engineering in the last decades have received a total of 22.8k indexed citations . Papers published in Natural Language Engineering usually cover Artificial Intelligence (651 papers), Computational Mathematics (1 paper), Information Systems (33 papers), Language and Linguistics (17 papers) and Occupational Therapy (5 papers) specifically the topics of Natural Language Processing Techniques (465 papers), Topic Modeling (140 papers), Speech and dialogue systems (58 papers), Advanced Text Analysis Techniques (44 papers), Sentiment Analysis and Opinion Mining (35 papers), Speech Recognition and Synthesis (25 papers), Information Retrieval and Search Behavior (21 papers) and Authorship Attribution and Profiling (19 papers). The most active scholars publishing in Natural Language Engineering are Robert Dale, Kenneth Church, Dekang Lin, Adam Lally, Steven P. Abney, David A. Ferrucci, John S. Justeson, Ehud Reiter, Dan Flickinger and Patrick Pantel.
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.