Patrik Lambert

18 papers and 208 indexed citations i.

About

Patrik Lambert is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Patrik Lambert has authored 18 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Patrik Lambert’s work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Sentiment Analysis and Opinion Mining (5 papers). Patrik Lambert is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Sentiment Analysis and Opinion Mining (5 papers). Patrik Lambert collaborates with scholars based in Spain, France and Norway. Patrik Lambert's co-authors include Rafael E. Banchs, Adrià de Gispert, José Bernardo Mariño Acebal, Marta R. Costa‐jussà, Josep Crego, José A. R. Fonollosa, Toni Badía, Jeremy Barnes, Yanjun Ma and Marcello Federico and has published in prestigious journals such as Journal of Artificial Intelligence Research, Computational Linguistics and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Patrik Lambert i

Fields of papers citing papers by Patrik Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrik Lambert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrik Lambert. The network helps show where Patrik Lambert may publish in the future.

Countries citing papers authored by Patrik Lambert

Since Specialization
Citations

This map shows the geographic impact of Patrik Lambert's research. 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 Patrik Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrik Lambert 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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2025