Procesamiento del lenguaje natural

757 papers and 1.6k indexed citations i.

About

The 757 papers published in Procesamiento del lenguaje natural in the last decades have received a total of 1.6k indexed citations. Papers published in Procesamiento del lenguaje natural usually cover Artificial Intelligence (521 papers), Language and Linguistics (189 papers) and Information Systems (86 papers) specifically the topics of Natural Language Processing Techniques (363 papers), Spanish Linguistics and Language Studies (141 papers) and Topic Modeling (131 papers). The most active scholars publishing in Procesamiento del lenguaje natural are Carlos Periñán-Pascual, Eugenio Martínez‐Cámara, Horacio Saggion, Andrés Montoyo, Lluís Padró, Germán Rigau, Grzegorz Chrupała, M. Antònia Martí, María Teresa Martín Valdivia and Horacio Rodríguez.

In The Last Decade

Fields of papers published in Procesamiento del lenguaje natural

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Procesamiento del lenguaje natural. 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 Procesamiento del lenguaje natural.

Countries where authors publish in Procesamiento del lenguaje natural

Since Specialization
Citations

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