Jaime Carbonell
Impact in
- Artificial Intelligence top 0.05%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Machine Learning and Algorithms
- Information Systems top 0.1%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 108
- Topic Modeling 99
- Machine Learning and Algorithms 38
- Text and Document Classification Technologies 35
- Semantic Web and Ontologies 33
- AI-based Problem Solving and Planning 26
- Speech and dialogue systems 25
- Algorithms and Data Compression 21
- Co-authors
- Jade GoldsteinYiming YangPınar DönmezVibhu O. MittalMark KantrowitzSteven MintonRalf D. BrownChris Dyer
- Journals
- Language Resources and Evaluation (5 papers)Artificial Intelligence (5 papers)Machine Learning (2 papers)Theory and applications of categories (2 papers)AI Magazine (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Jaime Carbonell
245 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 6.6k
- Information Systems 2.3k
- Computer Science Applications 523
- Signal Processing 582
- Computer Vision and Pattern Recognition 983
Countries citing papers authored by Jaime Carbonell
This map shows the geographic impact of Jaime Carbonell'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 Jaime Carbonell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Carbonell more than expected).
Fields of papers citing papers by Jaime Carbonell
This network shows the impact of papers produced by Jaime Carbonell. 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 Jaime Carbonell. The network helps show where Jaime Carbonell may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaime Carbonell, 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 | Temporal transfer learning for drift adaptation. | 2018 | 1 |
| 2 | Active Learning from Peers | 2017 | 4 |
| 3 | Gradients explode - Deep Networks are shallow - ResNet explained | 2017 | 27 |
| 4 | Adaptive Smoothed Online Multi-Task Learning | 2016 | 17 |
| 5 | Modeling Event Extraction via Multilingual Data Sources. | 2015 | 3 |
| 6 | 2015 | 38 | |
| 7 | 2013 | 64 | |
| 8 | Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization | 2012 | 23 |
| 9 | Active Learning-Based Elicitation for Semi-Supervised Word Alignment | 2010 | 2 |
| 10 | PaCK: Scalable parameter-free clustering on K-partite graphs | 2009 | 7 |
| 11 | Feature Representation for Effective Action-Item Detection | 2005 | 2 |
| 12 | Mutli-agents systems and applications | 2001 | 10 |
| 13 | Explanation-based learning: a problem solving perspective | 1990 | 126 |
| 14 | Machine learning: paradigms and methods | 1990 | 61 |
| 15 | Proceedings of the Sixth International Workshop on Machine Learning, Cornell University, Ithaca, New York, June 26-27, 1989 | 1989 | 3 |
| 16 | 1986 | 71 | |
| 17 | A framework for processing corrections in task-oriented dialogues | 1983 | 3 |
| 18 | 1981 | 1 | |
| 19 | 1980 | 18 | |
| 20 | DELTA-MIN: a search-control method for information-gathering problems | 1980 | 5 |
About Jaime Carbonell
Jaime Carbonell is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Signal Processing and Computer Networks and Communications, having authored 278 papers that have together received 8.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (108 papers), Topic Modeling (99 papers), Machine Learning and Algorithms (38 papers), Text and Document Classification Technologies (35 papers), Semantic Web and Ontologies (33 papers), AI-based Problem Solving and Planning (26 papers), Speech and dialogue systems (25 papers) and Algorithms and Data Compression (21 papers). The work is most often cited by research in Artificial Intelligence (6.6k citations), Information Systems (2.3k citations), Computer Science Applications (523 citations), Signal Processing (582 citations) and Computer Vision and Pattern Recognition (983 citations). Jaime Carbonell has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jade Goldstein, Yiming Yang, Pınar Dönmez, Vibhu O. Mittal, Mark Kantrowitz, Steven Minton, Ralf D. Brown, Chris Dyer, Jeff Schneider and Barnabás Póczos. Their work appears in journals such as Language Resources and Evaluation, Artificial Intelligence, Machine Learning, Theory and applications of categories and AI Magazine.
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.