Concept
Text mining
Parents
Computational LinguisticsInformationNatural Language ProcessingData MiningData-intensive Computing
106.6K
Publications
7.1M
Citations
162.2K
Authors
11.8K
Institutions
Top Institutions in Text Mining
Discover the leading universities, research centers, and organizations that are driving innovation and advancing knowledge in Text Mining. The statistics shown in this table are calculated from publications relevant to this concept and reflect each institution's impact within this specific field of study, not their overall metrics.
| Publications | Citations | H-Index | |
|---|---|---|---|
Pittsburgh, United States | 3.3K | 353.5K | 186 |
Stanford, United States | 2K | 481.5K | 180 |
Redmond, United States | 2.9K | 351.9K | 173 |
Beijing, China | 4.2K | 299.9K | 152 |
Urbana, United States | 2.5K | 226K | 150 |
Mountain View, United States | 2.3K | 454.6K | 145 |
Beijing, China | 2.2K | 224.7K | 139 |
![]() Amherst Center, United States | 1.3K | 152.2K | 132 |
![]() Ithaca, United States | 993 | 234.2K | 130 |
Singapore, Singapore | 1.8K | 166K | 129 |
Berkeley, United States | 898 | 182.9K | 126 |
Singapore, Singapore | 1.9K | 144.1K | 124 |
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