Rada Mihalcea

27.7k total citations · 10 hit papers
327 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 327 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, Courtney D. Corley, Andras Csomai, Verónica Pérez‐Rosas, Dan Moldovan, 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

313 papers receiving 13.9k citations

Hit Papers

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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rada Mihalcea United States 60 13.0k 2.8k 1.3k 1.3k 1.0k 327 15.5k
Dan Jurafsky United States 55 9.9k 0.8× 1.4k 0.5× 460 0.3× 1.2k 0.9× 1.0k 1.0× 203 13.5k
Mark Steyvers United States 44 6.3k 0.5× 1.9k 0.7× 879 0.7× 862 0.7× 1.1k 1.1× 138 12.6k
Eduard Hovy United States 68 19.0k 1.5× 3.6k 1.3× 567 0.4× 2.6k 2.0× 429 0.4× 411 22.4k
Iryna Gurevych Germany 43 10.0k 0.8× 2.5k 0.9× 366 0.3× 1.6k 1.2× 278 0.3× 393 12.4k
Kristina Toutanova United States 33 19.1k 1.5× 2.7k 1.0× 448 0.3× 4.2k 3.2× 308 0.3× 78 21.7k
Soujanya Poria Singapore 45 9.8k 0.8× 1.1k 0.4× 1.0k 0.8× 2.1k 1.6× 3.1k 3.0× 125 13.2k
Claire Cardie United States 57 10.4k 0.8× 2.5k 0.9× 342 0.3× 1.4k 1.1× 172 0.2× 176 12.4k
Jacob Devlin United States 11 14.2k 1.1× 1.9k 0.7× 400 0.3× 3.8k 2.9× 253 0.2× 20 16.4k
Adam Kilgarriff United Kingdom 32 9.4k 0.7× 1.7k 0.6× 217 0.2× 954 0.7× 674 0.7× 111 11.9k
Yoon Kim South Korea 28 8.5k 0.7× 1.9k 0.7× 267 0.2× 1.6k 1.2× 269 0.3× 160 11.7k

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

20 of 20 papers shown
1.
Shen, Xiaoyu, et al.. (2022). Logical Fallacy Detection. 7180–7198. 21 indexed citations
2.
Chiruzzo, Luis, et al.. (2021). Overview of HAHA at IberLEF 2021: Detecting, Rating and Analyzing Humor in Spanish. Procesamiento del lenguaje natural. 67. 257–268. 7 indexed citations
3.
Burzo, Mihai, et al.. (2020). MuSE: a Multimodal Dataset of Stressed Emotion. Language Resources and Evaluation. 1499–1510. 11 indexed citations
4.
Pérez‐Rosas, Verónica, Xinyi Wu, Ken Resnicow, & Rada Mihalcea. (2019). What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations. 926–935. 41 indexed citations
5.
Banea, Carmen, et al.. (2019). Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing. INFM-OAR (INFN Catania). 3493–3498. 18 indexed citations
6.
Welch, Charles, Jonathan K. Kummerfeld, Song Feng, & Rada Mihalcea. (2018). World Knowledge for Abstract Meaning Representation Parsing.. Language Resources and Evaluation. 1 indexed citations
7.
Mihalcea, Rada, et al.. (2016). Zooming in on Gender Differences in Social Media. International Conference on Computational Linguistics. 1–10. 8 indexed citations
8.
Banea, Carmen, Samer Hassan, Michael Mohler, & Rada Mihalcea. (2012). UNT: A Supervised Synergistic Approach to Semantic Text Similarity. Joint Conference on Lexical and Computational Semantics. 1(7). 635–642. 17 indexed citations
9.
Mihalcea, Rada, et al.. (2012). Unsupervised Word Sense Disambiguation with Multilingual Representations. Language Resources and Evaluation. 847–851. 7 indexed citations
10.
Mihalcea, Rada, et al.. (2012). Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia. Joint Conference on Lexical and Computational Semantics. 1. 30–37. 3 indexed citations
11.
Akkaya, Cem, et al.. (2011). Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis. 87–96. 18 indexed citations
12.
Mihalcea, Rada, et al.. (2011). An Efficient Indexer for Large N-Gram Corpora. Meeting of the Association for Computational Linguistics. 103–108. 8 indexed citations
13.
Mohler, Michael, Răzvan Bunescu, & Rada Mihalcea. (2011). Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments. Meeting of the Association for Computational Linguistics. 752–762. 189 indexed citations
14.
Sinha, Ravi & Rada Mihalcea. (2009). Combining Lexical Resources for Contextual Synonym Expansion. University of North Texas Digital Library (University of North Texas). 404–410. 12 indexed citations
15.
Mihalcea, Rada, Carmen Banea, & Janyce Wiebe. (2007). Learning Multilingual Subjective Language via Cross-Lingual Projections. University of North Texas Digital Library (University of North Texas). 976–983. 264 indexed citations
16.
Mihalcea, Rada, et al.. (2007). Explorations in Automatic Book Summarization. Empirical Methods in Natural Language Processing. 380–389. 40 indexed citations
17.
Corley, Courtney D., Andras Csomai, & Rada Mihalcea. (2005). Text Semantic Similarity, with Applications. University of North Texas Digital Library (University of North Texas). 173–180. 3 indexed citations
18.
Koehn, Philipp, Joel Martin, Rada Mihalcea, Christof Monz, & Ted Pedersen. (2005). Proceedings of the ACL Workshop on Building and Using Parallel Texts. Meeting of the Association for Computational Linguistics. 9 indexed citations
19.
Mihalcea, Rada, et al.. (2005). PicNet: Augmenting Semantic Resources with Pictorial Representations. University of North Texas Digital Library (University of North Texas). 1–7. 5 indexed citations
20.
Mihalcea, Rada & Dan Moldovan. (1999). An automatic method for generating sense tagged corpora. University of North Texas Digital Library (University of North Texas). 461–466. 63 indexed citations

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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