Galen Andrew
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 5%
- Information Systems top 5%
- Molecular Biology
- Co-authors
- Jeff BilmesRaman AroraKaren LivescuJianfeng GaoRoger LévyChristopher D. ManningHuihsin TsengPi-Chuan Chang
- Topics
- Topic Modeling (5 papers)Natural Language Processing Techniques (4 papers)Speech and dialogue systems (2 papers)
- Journals
- Language Resources and EvaluationEmpirical Methods in Natural Language ProcessingarXiv (Cornell University)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Galen Andrew
13 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 712
- Signal Processing 168
- Information Systems 141
- Molecular Biology 110
Countries citing papers authored by Galen Andrew
This map shows the geographic impact of Galen Andrew'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 Galen Andrew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galen Andrew more than expected).
Fields of papers citing papers by Galen Andrew
This network shows the impact of papers produced by Galen Andrew. 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 Galen Andrew. The network helps show where Galen Andrew may publish in the future.
Co-authorship network of co-authors of Galen Andrew
This figure shows the co-authorship network connecting the top 25 collaborators of Galen Andrew. A scholar is included among the top collaborators of Galen Andrew 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 Galen Andrew. Galen Andrew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | Differentially Private Learning with Adaptive Clipping | 41 |
| 3 | Interactive control of diverse complex characters with neural networks | 48 |
| 4 | Deep Canonical Correlation Analysisbreakdown → | 809 |
| 5 | 8 | |
| 6 | 330 | |
| 7 | A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing | 48 |
| 8 | 211 | |
| 9 | 47 | |
| 10 | A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005 | 232 |
| 11 | Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Task | 9 |
| 12 | Statistical resolution of scope ambiguity in natural language | 5 |
| 13 | A portfolio approach to algorithm select | 67 |
About Galen Andrew
Galen Andrew is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (712 citations) and Signal Processing (168 citations). Galen Andrew has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jeff Bilmes, Raman Arora, Karen Livescu, Jianfeng Gao, Roger Lévy, Christopher D. Manning, Huihsin Tseng, Pi-Chuan Chang, Daniel Jurafsky and H. Brendan McMahan. Their work appears in journals such as Language Resources and Evaluation, Empirical Methods in Natural Language Processing and arXiv (Cornell University).
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.