Kristina Gulordava

About

Kristina Gulordava is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cultural Studies. According to data from OpenAlex, Kristina Gulordava has authored 8 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Cultural Studies. Recurrent topics in Kristina Gulordava’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (3 papers). Kristina Gulordava is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (3 papers). Kristina Gulordava collaborates with scholars based in Spain, Switzerland and Italy. Kristina Gulordava's co-authors include Piotr Bojanowski, Édouard Grave, Tal Linzen, Marco Baroni, Gemma Boleda, Laura Aina, Paola Merlo, Aurélie Herbelot and Sharid Loáiciga and has published in prestigious journals such as Cognitive Science, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Kristina Gulordava i

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Fields of papers citing papers by Kristina Gulordava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kristina Gulordava

Since Specialization

Citations

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