Inguna Skadiņa

10 papers and 36 indexed citations i.

About

Inguna Skadiņa is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Inguna Skadiņa has authored 10 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Language and Linguistics. Recurrent topics in Inguna Skadiņa’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (5 papers). Inguna Skadiņa is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (5 papers). Inguna Skadiņa collaborates with scholars based in Latvia, United Kingdom and Romania. Inguna Skadiņa's co-authors include Bogdan Babych, Mārcis Pinnis, Monica Lestari Paramita, Ahmet Aker, Robert Gaizauskas, Paul Clough, Radu Ion, Stelios Piperidis, Claus Zinn and Maria Eskevich and has published in prestigious journals such as Language Resources and Evaluation, Baltic Journal of Modern Computing and Research Portal Denmark.

In The Last Decade

Co-authorship network of co-authors of Inguna Skadiņa i

Fields of papers citing papers by Inguna Skadiņa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inguna Skadiņa

Since Specialization
Citations

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