Jeffrey Sorensen
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques 16
- Topic Modeling 14
- Hate Speech and Cyberbullying Detection 12
- Speech Recognition and Synthesis 8
- Speech and dialogue systems 6
- Algorithms and Data Compression 4
- Health Informatics top 5%
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- Ultrasound in Clinical Applications 4
- Family Practice top 10%
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- Pneumonia and Respiratory Infections 5
- Co-authors
- Aron CulottaLucy VassermanLucas DixonNithum ThainJohn LiImed ZitouniRuhi SarikayaDanai Khemasuwan
- Partner nations
- United StatesGreeceFrance
In The Last Decade
Jeffrey Sorensen
54 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 1.5k
- Health Informatics 39
- Critical Care and Intensive Care Medicine 134
- Applied Microbiology and Biotechnology 36
- Family Practice 36
Countries citing papers authored by Jeffrey Sorensen
This map shows the geographic impact of Jeffrey Sorensen'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 Jeffrey Sorensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Sorensen more than expected).
Fields of papers citing papers by Jeffrey Sorensen
This network shows the impact of papers produced by Jeffrey Sorensen. 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 Jeffrey Sorensen. The network helps show where Jeffrey Sorensen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey Sorensen, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 53 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 135 | |
| 11 | 2018 | 44 | |
| 12 | 2018 | 31 | |
| 13 | 2017 | 9 | |
| 14 | 2016 | 22 | |
| 15 | 2016 | 55 | |
| 16 | 2016 | 17 | |
| 17 | Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation | 2010 | 28 |
| 18 | 2004 | 13 | |
| 19 | Statistical Natural Language Generation for Speech-to-Speech Machine Translation | 2002 | 13 |
| 20 | Carcinomas of the digestive system in Denmark 1943-1956; cancer incidence in Denmark. VI. | 1959 | 4 |
About Jeffrey Sorensen
Jeffrey Sorensen is a scholar working on Critical Care and Intensive Care Medicine, Artificial Intelligence and Applied Microbiology and Biotechnology, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (14 papers), Hate Speech and Cyberbullying Detection (12 papers), Speech Recognition and Synthesis (8 papers), Speech and dialogue systems (6 papers), Pneumonia and Respiratory Infections (5 papers), Ultrasound in Clinical Applications (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Health Informatics (39 citations) and Critical Care and Intensive Care Medicine (134 citations). Jeffrey Sorensen has collaborated with scholars based in United States, Greece and France. Frequent co-authors include Aron Culotta, Lucy Vasserman, Lucas Dixon, Nithum Thain, John Li, Imed Zitouni, Ruhi Sarikaya, Danai Khemasuwan, Samuel M. Brown and Ithan D. Peltan. Their work appears in journals such as CHEST Journal, Critical Care Medicine and Transplantation.
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.