Chris Tar
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Hate Speech and Cyberbullying Detection
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
Papers in ⓘ
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- Topic Modeling 6
- Natural Language Processing Techniques 5
- Sentiment Analysis and Opinion Mining 1
- Advanced Text Analysis Techniques 1
- Semantic Web and Ontologies 1
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- Data Quality and Management 1
Chris Tar
6 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 878
- Computer Vision and Pattern Recognition 174
- Health Informatics 10
- Information Systems 162
- General Social Sciences 22
Countries citing papers authored by Chris Tar
This map shows the geographic impact of Chris Tar'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 Chris Tar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Tar more than expected).
Fields of papers citing papers by Chris Tar
This network shows the impact of papers produced by Chris Tar. 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 Chris Tar. The network helps show where Chris Tar may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Tar, 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 | Universal Sentence Encoder for English Hit paper breakdown → | 2018 | 705 |
| 2 | 2020 | 228 | |
| 3 | 2019 | 120 | |
| 4 | 2024 | 25 | |
| 5 | 2019 | 8 | |
| 6 | 2024 | 6 |
About Chris Tar
Chris Tar is a scholar working on Artificial Intelligence, Management Science and Operations Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Sentiment Analysis and Opinion Mining (1 paper), Advanced Text Analysis Techniques (1 paper), Semantic Web and Ontologies (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Artificial Intelligence (878 citations), Computer Vision and Pattern Recognition (174 citations), Health Informatics (10 citations), Information Systems (162 citations) and General Social Sciences (22 citations). Chris Tar has collaborated with scholars based in United States and Mexico. Frequent co-authors include Yinfei Yang, Noah Constant, Steve Yuan, Ray Kurzweil, Daniel Cer, Brian Strope, Sheng-yi Kong, Nan Hua, Jason Baldridge and Yuan Zhang.
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.