Machine Translation

438 papers and 4.1k indexed citations i.

About

The 438 papers published in Machine Translation in the last decades have received a total of 4.1k indexed citations. Papers published in Machine Translation usually cover Artificial Intelligence (366 papers), Language and Linguistics (64 papers) and Computer Vision and Pattern Recognition (35 papers) specifically the topics of Natural Language Processing Techniques (345 papers), Topic Modeling (243 papers) and Speech and dialogue systems (76 papers). The most active scholars publishing in Machine Translation are Sharon O’Brien, Bonnie J. Dorr, Alon Lavie, Michael Denkowski, Martin Kay, Harold Somers, Ignacio González García, Margaret King, Andy Way and John G. B. Hutchins.

In The Last Decade

Fields of papers published in Machine Translation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Machine Translation. 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 Machine Translation.

Countries where authors publish in Machine Translation

Since Specialization
Citations

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

Explore journals with similar magnitude of impact

Rankless by CCL
2025