Natalia Grabar

94 papers and 513 indexed citations
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About

Natalia Grabar is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Natalia Grabar has authored 94 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 50 papers in Molecular Biology and 23 papers in Language and Linguistics. Recurrent topics in Natalia Grabar’s work include Natural Language Processing Techniques (50 papers), Biomedical Text Mining and Ontologies (50 papers) and Topic Modeling (28 papers). Natalia Grabar is often cited by papers focused on Natural Language Processing Techniques (50 papers), Biomedical Text Mining and Ontologies (50 papers) and Topic Modeling (28 papers). Natalia Grabar collaborates with scholars based in France, Canada and Belgium. Natalia Grabar's co-authors include Thierry Hamon, Pierre Zweigenbaum, Éric Zapletal, Patrice Degoulet, Célia Boyer, Fleur Mougin, Arnaud Gaudinat, Stéfan Darmoni, Laura Maxim and Cyril Grouin and has published in prestigious journals such as Cancer Letters, ACM Computing Surveys and Frontiers in Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Natalia Grabar

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Grabar. A scholar is included among the top collaborators of Natalia Grabar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalia Grabar. Natalia Grabar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Natalia Grabar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Natalia Grabar

Since Specialization
Citations

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