Rada Mihalcea
- Artificial Intelligence top 0.02%
- Information Systems top 0.1%
- Social Psychology top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Experimental and Cognitive Psychology top 1%
- Co-authors
- Paul TarauCarlo StrapparavaJanyce WiebeCarmen BaneaCourtney D. CorleyAndras CsomaiDan MoldovanVerónica Pérez‐Rosas
- Topics
- Topic Modeling (153 papers)Natural Language Processing Techniques (139 papers)Advanced Text Analysis Techniques (64 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Rada Mihalcea
313 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 13.0k
- Information Systems 2.8k
- Social Psychology 1.3k
- Computer Vision and Pattern Recognition 1.3k
- Experimental and Cognitive Psychology 1.0k
Countries citing papers authored by Rada Mihalcea
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | A review of deep learning techniques for speech processingbreakdown → | 155 |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 41 | |
| 14 | 18 | |
| 15 | Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies | 103 |
| 16 | How to Add a New Language on the NLP Map: Building Resources and Tools for Languages with Scarce Resources | 1 |
| 17 | A Language Independent Algorithm for Single and Multiple Document Summarization | 129 |
| 18 | Using the Essence of Texts to Improve Document Classification | 12 |
| 19 | TextRank: Bringing Order into Textbreakdown → | 2030 |
| 20 | Improving the Search on the Internet by Using WordNet and Lexical Operators | 13 |
About Rada Mihalcea
Rada Mihalcea is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology, having authored 327 papers that have together received 15.5k indexed citations. Recurring topics across this work include Topic Modeling (153 papers), Natural Language Processing Techniques (139 papers) and Advanced Text Analysis Techniques (64 papers). The work is most often cited by research in Artificial Intelligence (13.0k citations), Information Systems (2.8k citations) and Experimental and Cognitive Psychology (1.0k citations). Rada Mihalcea has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Paul Tarau, Carlo Strapparava, Janyce Wiebe, Carmen Banea, Courtney D. Corley, Andras Csomai, Dan Moldovan, Verónica Pérez‐Rosas, Louis–Philippe Morency and Samer Hassan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.