Natural Language Engineering

About

The 717 papers published in Natural Language Engineering in the last decades have received a total of 18.5k indexed citations. Papers published in Natural Language Engineering usually cover Artificial Intelligence (661 papers), Information Systems (73 papers) and Computer Vision and Pattern Recognition (49 papers) specifically the topics of Natural Language Processing Techniques (511 papers), Topic Modeling (449 papers) and Speech and dialogue systems (157 papers). The most active scholars publishing in Natural Language Engineering are Robert Dale, Kenneth Church, Steven Abney, Adam Lally, David Ferrucci, Dekang Lin, John S. Justeson, Dan Flickinger, Ehud Reiter and Martha Palmer.

In The Last Decade

Natural Language Engineering

654 papers receiving 15.7k citations

Peers

Natural Language Engineering
Comparison fields: 5 of 192
  • Artificial Intelligence 15.7k
  • Information Systems 2.8k
  • Computer Vision and Pattern Recognition 1.3k
  • Molecular Biology 1.2k
  • Language and Linguistics 897
Replace Transactions of the Association for Computational Linguistics with:
Transactions of the Association for Computational Linguistics United States
Connection Science China
Cognitive Systems Research United States
Semantic Web Germany
Literary and Linguistic Computing United Kingdom
Minds and Machines United States
Program electronic library and information systems United Kingdom
The Knowledge Engineering Review United Kingdom
Information Retrieval United States
IEEE Transactions on Learning Technologies United States
Transactions of the Association for Computational Linguistics United States View profile →
Citations per field, relative to Natural Language Engineering
Natural Language Engineering · 1×
Citations per year, relative to Natural Language Engineering
Natural Language Engineering · 1×

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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.

Explore journals with similar magnitude of impact

Breakdown of academic impact, for papers in Transactions of the Association for Computational Linguistics Breakdown of academic impact, for papers in Connection Science Breakdown of academic impact, for papers in Cognitive Systems Research Breakdown of academic impact, for papers in Semantic Web Breakdown of academic impact, for papers in Literary and Linguistic Computing Breakdown of academic impact, for papers in Minds and Machines Breakdown of academic impact, for papers in Program electronic library and information systems Breakdown of academic impact, for papers in The Knowledge Engineering Review Breakdown of academic impact, for papers in Information Retrieval Breakdown of academic impact, for papers in IEEE Transactions on Learning Technologies
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2026