Gideon Mann
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning and Data Classification
- Text and Document Classification Technologies
- Machine Learning and Algorithms
- Advanced Text Analysis Techniques
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- Data Quality and Management
Papers in
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- Topic Modeling 13
- Natural Language Processing Techniques 12
- Machine Learning and Data Classification 6
- Machine Learning and Algorithms 5
- Advanced Text Analysis Techniques 4
- Neural Networks and Applications 3
- Domain Adaptation and Few-Shot Learning 3
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- Web Data Mining and Analysis 3
- Co-authors
- Andrew McCallum (9 shared papers)David Yarowsky (4 shared papers)Gregory Druck (4 shared papers)Ryan McDonald (2 shared papers)Keith Hall (2 shared papers)Dani Yogatama (1 shared paper)Andrew McCallum (1 shared paper)David Mimno (1 shared paper)
- Journals
- Natural Language Engineering (1 paper)Journal of Machine Learning Research (1 paper)Journal of Technology in Human Services (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (2 papers)Scholarworks (University of Massachusetts Amherst) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Gideon Mann
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 1.4k
- Management Science and Operations Research 188
- Information Systems 294
- Signal Processing 116
- Computer Vision and Pattern Recognition 219
Countries citing papers authored by Gideon Mann
This map shows the geographic impact of Gideon Mann'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 Gideon Mann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gideon Mann more than expected).
Fields of papers citing papers by Gideon Mann
This network shows the impact of papers produced by Gideon Mann. 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 Gideon Mann. The network helps show where Gideon Mann may publish in the future.
Co-authors
The 25 scholars most cited alongside Gideon Mann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 192 | |
| 2 | 2008 | 180 | |
| 3 | Distributed Training Strategies for the Structured Perceptron | 2010 | 154 |
| 4 | Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models | 2009 | 137 |
| 5 | 2010 | 122 | |
| 6 | 2007 | 120 | |
| 7 | 2001 | 97 | |
| 8 | Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields | 2008 | 88 |
| 9 | 2006 | 87 | |
| 10 | Efficient Transfer Learning Method for Automatic Hyperparameter Tuning | 2014 | 82 |
| 11 | 2001 | 60 | |
| 12 | 2002 | 49 | |
| 13 | 2003 | 46 | |
| 14 | 2009 | 34 | |
| 15 | MapReduce/Bigtable for Distributed Optimization | 2010 | 29 |
| 16 | Generalized Expectation Criteria | 2007 | 28 |
| 17 | 2007 | 23 | |
| 18 | 2005 | 20 | |
| 19 | 2019 | 20 | |
| 20 | Multi-document statistical fact extraction and fusion | 2006 | 18 |
About Gideon Mann
Gideon Mann is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers), Machine Learning and Data Classification (6 papers), Machine Learning and Algorithms (5 papers), Advanced Text Analysis Techniques (4 papers), Neural Networks and Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Management Science and Operations Research (188 citations), Information Systems (294 citations), Signal Processing (116 citations) and Computer Vision and Pattern Recognition (219 citations). Gideon Mann has collaborated with scholars based in United States and Germany. Frequent co-authors include Andrew McCallum, David Yarowsky, Gregory Druck, Ryan McDonald, Keith Hall, Dani Yogatama, Andrew McCallum, David Mimno, Mehryar Mohri and Nathan Silberman. Their work appears in journals such as Natural Language Engineering, Journal of Machine Learning Research, Journal of Technology in Human Services, ScholarWorks@UMassAmherst (University of Massachusetts Amherst) and Scholarworks (University of Massachusetts Amherst).
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.