Katri Haverinen

About

Katri Haverinen is a scholar working on Artificial Intelligence, Industrial relations and Aerospace Engineering. According to data from OpenAlex, Katri Haverinen has authored 3 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 0 papers in Industrial relations and 0 papers in Aerospace Engineering. Recurrent topics in Katri Haverinen’s work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Text Readability and Simplification (2 papers). Katri Haverinen is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Text Readability and Simplification (2 papers). Katri Haverinen collaborates with scholars based in Finland, United States and Pakistan. Katri Haverinen's co-authors include Filip Ginter, Natalia Silveira, Joakim Nivre, Marie-Catherine de Marneffe, Timothy Dozat, Christopher D. Manning, Anna Missilä, Veronika Laippala, Stina Ojala and Tapio Salakoski and has published in prestigious journals such as Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Katri Haverinen i

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Fields of papers citing papers by Katri Haverinen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katri Haverinen

Since Specialization

Citations

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