Rada Mihalcea

630 total papers · 27.7k total citations
328 papers, 15.5k citations indexed

About

Rada Mihalcea is a scholar working on Artificial Intelligence, Social Psychology and Information Systems. According to data from OpenAlex, Rada Mihalcea has authored 328 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 244 papers in Artificial Intelligence, 59 papers in Social Psychology and 36 papers in Information Systems. Recurrent topics in Rada Mihalcea's work include Topic Modeling (153 papers), Natural Language Processing Techniques (139 papers) and Advanced Text Analysis Techniques (64 papers). Rada Mihalcea is often cited by papers focused on Topic Modeling (153 papers), Natural Language Processing Techniques (139 papers) and Advanced Text Analysis Techniques (64 papers). Rada Mihalcea collaborates with scholars based in United States, Singapore and United Kingdom. Rada Mihalcea's co-authors include Paul Tarau, Carlo Strapparava, Janyce Wiebe, Carmen Banea, Andras Csomai, Courtney D. Corley, Dan Moldovan, Verónica Pérez‐Rosas, Louis–Philippe Morency and Samer Hassan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Rada Mihalcea

312 papers receiving 13.8k citations

Hit Papers

TextRank: Bringing Order ... 2004 2026 2011 2018 2004 2006 2007 2007 2008 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rada Mihalcea 12.9k 2.8k 1.3k 1.3k 1.0k 328 15.5k
Dan Jurafsky 9.8k 0.8× 1.4k 0.5× 452 0.3× 1.2k 0.9× 1.0k 1.0× 201 13.4k
Eduard Hovy 19.0k 1.5× 3.6k 1.3× 563 0.4× 2.6k 2.0× 429 0.4× 411 22.4k
Mark Steyvers 6.3k 0.5× 1.9k 0.7× 880 0.7× 862 0.7× 1.1k 1.1× 137 12.5k
Iryna Gurevych 9.9k 0.8× 2.5k 0.9× 355 0.3× 1.5k 1.2× 276 0.3× 393 12.1k
Chris Dyer 15.3k 1.2× 1.8k 0.7× 342 0.3× 2.6k 2.0× 326 0.3× 188 17.7k
Claire Cardie 10.4k 0.8× 2.5k 0.9× 338 0.3× 1.4k 1.1× 172 0.2× 176 12.3k
Christiane Fellbaum 10.3k 0.8× 2.1k 0.7× 282 0.2× 1.2k 0.9× 682 0.7× 106 12.6k
Soujanya Poria 9.7k 0.7× 1.1k 0.4× 1.0k 0.8× 2.1k 1.6× 3.0k 3.0× 123 13.0k
Kristina Toutanova 19.0k 1.5× 2.7k 1.0× 445 0.3× 4.2k 3.2× 302 0.3× 77 21.6k
Noah A. Smith 12.3k 1.0× 1.7k 0.6× 256 0.2× 1.9k 1.4× 198 0.2× 264 14.9k

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).

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.

Co-authorship network of co-authors of Rada Mihalcea

This figure shows the co-authorship network connecting the top 25 collaborators of Rada Mihalcea. A scholar is included among the top collaborators of Rada Mihalcea 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 Rada Mihalcea. Rada Mihalcea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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