Anna Tordai

About

Anna Tordai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Anna Tordai has authored 10 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Anna Tordai’s work include Semantic Web and Ontologies (9 papers), Video Analysis and Summarization (2 papers) and Digital Humanities and Scholarship (2 papers). Anna Tordai is often cited by papers focused on Semantic Web and Ontologies (9 papers), Video Analysis and Summarization (2 papers) and Digital Humanities and Scholarship (2 papers). Anna Tordai collaborates with scholars based in The Netherlands, Italy and Germany. Anna Tordai's co-authors include Valentina Presutti, Harald Sack, Christoph Lange, Mathieu d’Aquin, Guus Schreiber, Jacco van Ossenbruggen, Claudia d’Amato, Fabien Gandon, Alia Amin and Lynda Hardman and has published in prestigious journals such as Lecture notes in computer science, Journal of Web Semantics and Communications in computer and information science.

In The Last Decade

Co-authorship network of co-authors of Anna Tordai i

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Fields of papers citing papers by Anna Tordai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anna Tordai

Since Specialization

Citations

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