Gideon Mann
- Artificial Intelligence top 1%
- 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
- Information Systems top 2%
- Web Data Mining and Analysis 3
- Signal Processing top 5%
- Co-authors
- Andrew McCallumDavid YarowskyGregory DruckRyan McDonaldKeith HallDani YogatamaDavid MimnoNathan Silberman
- Journals
- Natural Language Engineering (1 paper)Journal of Machine Learning Research (1 paper)Journal of Technology in Human Services (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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 10 | |
| 2 | Efficient Transfer Learning Method for Automatic Hyperparameter Tuning | 2014 | 82 |
| 3 | Diagnosing Latency in Multi-Tier Black-Box Services | 2011 | 11 |
| 4 | 2010 | 122 | |
| 5 | Distributed Training Strategies for the Structured Perceptron | 2010 | 154 |
| 6 | MapReduce/Bigtable for Distributed Optimization | 2010 | 29 |
| 7 | Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models | 2009 | 137 |
| 8 | 2009 | 34 | |
| 9 | Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields | 2008 | 88 |
| 10 | 2008 | 180 | |
| 11 | 2007 | 23 | |
| 12 | 2007 | 120 | |
| 13 | 2005 | 20 | |
| 14 | 2003 | 192 | |
| 15 | 2002 | 5 | |
| 16 | 2001 | 11 | |
| 17 | 2001 | 60 | |
| 18 | 2001 | 18 | |
| 19 | Fun with Reading Comprehension | 2000 | 3 |
| 20 | An object-oriented model for the integration of knowledge-based systems. | 1995 | 2 |
About Gideon Mann
Gideon Mann is a scholar working on Artificial Intelligence, General Social Sciences, Information Systems, Health Information Management and Geography, Planning and Development, 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), Web Data Mining and Analysis (3 papers), Neural Networks and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (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, Nathan Silberman and Mehryar Mohri. 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 North American Chapter of the Association for Computational Linguistics.
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.