Daniel M. Cer
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Information Systems top 1%
- Information Retrieval and Search Behavior
Papers in
-
- Natural Language Processing Techniques 27
- Topic Modeling 26
- Speech Recognition and Synthesis 2
- Domain Adaptation and Few-Shot Learning 1
-
- Multimodal Machine Learning Applications 2
- Co-authors
- Eneko Agirre (5 shared papers)Aitor González-Agirre (5 shared papers)Mona Diab (5 shared papers)Yinfei Yang (13 shared papers)Christopher D. Manning (18 shared papers)Noah Constant (7 shared papers)Brian P. Strope (7 shared papers)Ray Kurzweil (7 shared papers)
- Journals
- Machine Translation (1 paper)Language Resources and Evaluation (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Annual Meeting of the Association for Computational Linguistics (ACL) (2 papers)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Daniel M. Cer
46 papers receiving 5.5k citations
Daniel M. Cer's Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 4.9k
- Information Systems 588
- Computer Vision and Pattern Recognition 333
- General Social Sciences 55
- Health Informatics 19
Countries citing papers authored by Daniel M. Cer
This map shows the geographic impact of Daniel M. 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 M. 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 M. Cer more than expected).
Fields of papers citing papers by Daniel M. Cer
This network shows the impact of papers produced by Daniel M. 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 M. Cer. The network helps show where Daniel M. Cer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Universal Sentence Encoder for English Hit paper breakdown → | 2018 | 910 |
| 2 | SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation Hit paper breakdown → | 2017 | 665 |
| 3 | SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity Hit paper breakdown → | 2012 | 492 |
| 4 | SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation Hit paper breakdown → | 2016 | 381 |
| 5 | SemEval-2014 Task 10: Multilingual Semantic Textual Similarity Hit paper breakdown → | 2014 | 377 |
| 6 | SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability Hit paper breakdown → | 2015 | 368 |
| 7 | Language-agnostic BERT Sentence Embedding Hit paper breakdown → | 2022 | 368 |
| 8 | Bilingual Word Embeddings for Phrase-Based Machine Translation Hit paper breakdown → | 2013 | 366 |
| 9 | 2020 | 287 | |
| 10 | *SEM 2013 shared task: Semantic Textual Similarity | 2013 | 283 |
| 11 | Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models Hit paper breakdown → | 2022 | 221 |
| 12 | 2022 | 136 | |
| 13 | 2006 | 109 | |
| 14 | 2010 | 102 | |
| 15 | 2018 | 100 | |
| 16 | 2019 | 81 | |
| 17 | 2018 | 75 | |
| 18 | 2007 | 69 | |
| 19 | 2019 | 62 | |
| 20 | 2009 | 37 |
About Daniel M. Cer
Daniel M. Cer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Information Systems and Nuclear Energy and Engineering, having authored 46 papers that have together received 5.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (26 papers), Speech Recognition and Synthesis (2 papers), Multimodal Machine Learning Applications (2 papers), Information Retrieval and Search Behavior (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Neural dynamics and brain function (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Artificial Intelligence (4.9k citations), Information Systems (588 citations), Computer Vision and Pattern Recognition (333 citations), General Social Sciences (55 citations) and Health Informatics (19 citations). Daniel M. Cer has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Eneko Agirre, Aitor González-Agirre, Mona Diab, Yinfei Yang, Christopher D. Manning, Noah Constant, Brian P. Strope, Ray Kurzweil, Steve Yuan and Weiwei Guo. Their work appears in journals such as Machine Translation, Language Resources and Evaluation, Findings of the Association for Computational Linguistics: ACL 2022, Annual Meeting of the Association for Computational Linguistics (ACL) 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.