Mārcis Pinnis

23 papers and 61 indexed citations i.

About

Mārcis Pinnis is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology. According to data from OpenAlex, Mārcis Pinnis has authored 23 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 1 paper in Molecular Biology. Recurrent topics in Mārcis Pinnis’s work include Natural Language Processing Techniques (18 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (4 papers). Mārcis Pinnis is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (4 papers). Mārcis Pinnis collaborates with scholars based in United Kingdom, Latvia and Germany. Mārcis Pinnis's co-authors include Inguna Skadiņa, Monica Lestari Paramita, Bogdan Babych, Ahmet Aker, Robert Gaizauskas, Radu Ion, Jan Niehues, Josef van Genabith, Ngoc-Quan Pham and Ondřej Bojar and has published in prestigious journals such as Language Resources and Evaluation, KI - Künstliche Intelligenz and Terminology International Journal of Theoretical and Applied Issues in Specialized Communication.

In The Last Decade

Co-authorship network of co-authors of Mārcis Pinnis i

Fields of papers citing papers by Mārcis Pinnis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mārcis Pinnis. 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 Mārcis Pinnis. The network helps show where Mārcis Pinnis may publish in the future.

Countries citing papers authored by Mārcis Pinnis

Since Specialization
Citations

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