Rachel Szekely

6 papers and 210 indexed citations i.

About

Rachel Szekely is a scholar working on Artificial Intelligence, Language and Linguistics and Philosophy. According to data from OpenAlex, Rachel Szekely has authored 6 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 1 paper in Philosophy. Recurrent topics in Rachel Szekely’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (2 papers). Rachel Szekely is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (2 papers). Rachel Szekely collaborates with scholars based in United States. Rachel Szekely's co-authors include Catherine Macleod, Ruth Reeves, Adam Meyers, Brian Young, Ralph Grishman, Marilyn Walker and Owen Rambow and has published in prestigious journals such as Language Resources and Evaluation, Language Sciences and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Rachel Szekely i

Fields of papers citing papers by Rachel Szekely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rachel Szekely

Since Specialization
Citations

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