Eric Breck
- Artificial Intelligence top 2%
- Topic Modeling 14
- Natural Language Processing Techniques 11
- Advanced Text Analysis Techniques 6
- Sentiment Analysis and Opinion Mining 4
- Semantic Web and Ontologies 3
- Explainable Artificial Intelligence (XAI) 2
- Machine Learning and Algorithms 2
- Information Systems top 5%
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- Parallel Computing and Optimization Techniques 3
Eric Breck
20 papers receiving 708 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 712
- Health Informatics 11
- Information Systems 168
- Software 19
- Information Systems and Management 29
Countries citing papers authored by Eric Breck
This map shows the geographic impact of Eric Breck'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 Eric Breck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Breck more than expected).
Fields of papers citing papers by Eric Breck
This network shows the impact of papers produced by Eric Breck. 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 Eric Breck. The network helps show where Eric Breck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Breck, 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 | Data Validation for Machine Learning | 2019 | 67 |
| 2 | 2017 | 1 | |
| 3 | 2017 | 111 | |
| 4 | TensorFlow Debugger: Debugging Dataflow Graphs for Machine Learning | 2016 | 6 |
| 5 | What’s your ML test score? A rubric for ML production systems | 2016 | 16 |
| 6 | A simple system for detecting non-entailment. | 2009 | 2 |
| 7 | 2008 | 4 | |
| 8 | Identifying expressions of opinion in context | 2007 | 161 |
| 9 | Cornell System Description for the NTCIR-6 Opinion Task | 2007 | 1 |
| 10 | 2006 | 128 | |
| 11 | Embodying Arithmetic: Counting on Your Hands and Feet | 2004 | 0 |
| 12 | 2004 | 12 | |
| 13 | Recognizing and Organizing Opinions Expressed in the World Press | 2003 | 44 |
| 14 | 2001 | 60 | |
| 15 | 2001 | 18 | |
| 16 | Another Sys Called Qanda. | 2000 | 4 |
| 17 | Fun with Reading Comprehension | 2000 | 3 |
| 18 | 2000 | 31 | |
| 19 | A Sys Called Qanda. | 1999 | 25 |
| 20 | 1999 | 14 |
About Eric Breck
Eric Breck is a scholar working on Artificial Intelligence, Hardware and Architecture, Information Systems and Management, Software and Signal Processing, having authored 21 papers that have together received 839 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers), Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (4 papers), Parallel Computing and Optimization Techniques (3 papers), Semantic Web and Ontologies (3 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (712 citations), Health Informatics (11 citations), Information Systems (168 citations), Software (19 citations) and Information Systems and Management (29 citations). Eric Breck has collaborated with scholars based in United States. Frequent co-authors include Claire Cardie, Yejin Choi, Marc Light, John D. Burger, Lynette Hirschman, Shanqing Cai, D. Sculley, Eric Nielsen, Ellen Riloff and Gideon Mann. Their work appears in journals such as European Journal of Applied Physiology, Natural Language Engineering, Theory and applications of categories, Language Resources and Evaluation and International Joint Conference on Artificial Intelligence.
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.