Rada Mihalcea

246 papers and 9.2k indexed citations i.

About

Rada Mihalcea is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rada Mihalcea has authored 246 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Artificial Intelligence, 37 papers in Social Psychology and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rada Mihalcea’s work include Topic Modeling (125 papers), Natural Language Processing Techniques (112 papers) and Advanced Text Analysis Techniques (57 papers). Rada Mihalcea is often cited by papers focused on Topic Modeling (125 papers), Natural Language Processing Techniques (112 papers) and Advanced Text Analysis Techniques (57 papers). Rada Mihalcea collaborates with scholars based in United States, Singapore and United Kingdom. Rada Mihalcea's co-authors include Paul Tarau, Soujanya Poria, Janyce Wiebe, Carmen Banea, Navonil Majumder, Devamanyu Hazarika, Dan Moldovan, Erik Cambria, Carlo Strapparava and Verónica Pérez‐Rosas and has published in prestigious journals such as PLoS ONE, IEEE Access and Advances in experimental medicine and biology.

In The Last Decade

Co-authorship network of co-authors of Rada Mihalcea i

Fields of papers citing papers by Rada Mihalcea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rada Mihalcea

Since Specialization
Citations

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