Daniel Cer
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
- Text and Document Classification Technologies
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 40
- Topic Modeling 39
- Text Readability and Simplification 8
- Semantic Web and Ontologies 4
- Speech and dialogue systems 3
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- Biomedical Text Mining and Ontologies 6
- Co-authors
- Eneko Agirre (5 shared papers)Mona Diab (5 shared papers)Aitor González-Agirre (5 shared papers)Christopher D. Manning (18 shared papers)Yinfei Yang (12 shared papers)Noah Constant (7 shared papers)Ray Kurzweil (6 shared papers)Weiwei Guo (3 shared papers)
- Journals
- Machine Translation (1 paper)Language Resources and Evaluation (1 paper)Meeting of the Association for Computational Linguistics (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Daniel Cer
41 papers receiving 3.7k citations
Daniel Cer's Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 3.6k
- Computer Vision and Pattern Recognition 649
- Information Systems 406
- General Social Sciences 48
- Signal Processing 99
Countries citing papers authored by Daniel Cer
This map shows the geographic impact of Daniel Cer'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 Daniel Cer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cer more than expected).
Fields of papers citing papers by Daniel Cer
This network shows the impact of papers produced by Daniel Cer. 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 Daniel Cer. The network helps show where Daniel Cer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Cer, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Universal Sentence Encoder for English Hit paper breakdown → | 2018 | 719 |
| 2 | SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity Hit paper breakdown → | 2012 | 422 |
| 3 | SemEval-2014 Task 10: Multilingual Semantic Textual Similarity Hit paper breakdown → | 2014 | 308 |
| 4 | Bilingual Word Embeddings for Phrase-Based Machine Translation Hit paper breakdown → | 2013 | 308 |
| 5 | SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation Hit paper breakdown → | 2016 | 297 |
| 6 | SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability Hit paper breakdown → | 2015 | 297 |
| 7 | 2020 | 233 | |
| 8 | *SEM 2013 shared task: Semantic Textual Similarity | 2013 | 232 |
| 9 | Language-agnostic BERT Sentence Embedding Hit paper breakdown → | 2022 | 193 |
| 10 | Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models Hit paper breakdown → | 2022 | 148 |
| 11 | 2022 | 114 | |
| 12 | 2006 | 91 | |
| 13 | 2010 | 88 | |
| 14 | 2018 | 87 | |
| 15 | 2007 | 54 | |
| 16 | 2018 | 54 | |
| 17 | 2019 | 49 | |
| 18 | The Best Lexical Metric for Phrase-Based Statistical MT System Optimization | 2010 | 37 |
| 19 | 2009 | 35 | |
| 20 | 2008 | 31 |
About Daniel Cer
Daniel Cer is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Experimental and Cognitive Psychology, having authored 42 papers that have together received 4.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (40 papers), Topic Modeling (39 papers), Text Readability and Simplification (8 papers), Biomedical Text Mining and Ontologies (6 papers), Multimodal Machine Learning Applications (5 papers), Semantic Web and Ontologies (4 papers), Speech and dialogue systems (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Artificial Intelligence (3.6k citations), Computer Vision and Pattern Recognition (649 citations), Information Systems (406 citations), General Social Sciences (48 citations) and Signal Processing (99 citations). Daniel Cer has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Eneko Agirre, Mona Diab, Aitor González-Agirre, Christopher D. Manning, Yinfei Yang, Noah Constant, Ray Kurzweil, Weiwei Guo, Brian Strope and Steve Yuan. Their work appears in journals such as Machine Translation, Language Resources and Evaluation, Meeting of the Association for Computational Linguistics, Findings of the Association for Computational Linguistics: ACL 2022 and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).
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.