Ioana Hulpuş

13 papers and 121 indexed citations i.

About

Ioana Hulpuş is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ioana Hulpuş has authored 13 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ioana Hulpuş’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Text Readability and Simplification (4 papers). Ioana Hulpuş is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Text Readability and Simplification (4 papers). Ioana Hulpuş collaborates with scholars based in Germany, Ireland and United States. Ioana Hulpuş's co-authors include Conor Hayes, Marcel Karnstedt, Derek Greene, Heiner Stuckenschmidt, Sanja Štajner, Wolfgang Effelsberg, Simone Paolo Ponzetto, Laura Dietz, Graeme Hirst and Maria Becker and has published in prestigious journals such as Language Resources and Evaluation, Data & Knowledge Engineering and Technology Knowledge and Learning.

In The Last Decade

Co-authorship network of co-authors of Ioana Hulpuş i

Fields of papers citing papers by Ioana Hulpuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ioana Hulpuş

Since Specialization
Citations

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