Nathan Scales
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Organ Donation and Transplantation 5
- Palliative Care and End-of-Life Issues 2
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- Sepsis Diagnosis and Treatment 3
- Co-authors
- Nathanael Schärli (1 shared paper)Aakanksha Chowdhery (1 shared paper)Sebastian Gehrmann (1 shared paper)Ed H. (1 shared paper)Mirac Süzgün (1 shared paper)Denny Zhou (1 shared paper)Jason Lee (1 shared paper)Quoc V. Le (1 shared paper)
- Journals
- BMJ Open (3 papers)American Journal of Transplantation (2 papers)Scientific Reports (1 paper)Shock (1 paper)Social Science & Medicine (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Nathan Scales
17 papers receiving 245 citations
Nathan Scales's Hit Papers
Peers
Comparison fields: 5 of 79
- Health Informatics 10
- Artificial Intelligence 87
- Critical Care and Intensive Care Medicine 8
- Emergency Medicine 11
- Family Practice 2
Countries citing papers authored by Nathan Scales
This map shows the geographic impact of Nathan Scales'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 Nathan Scales with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Scales more than expected).
Fields of papers citing papers by Nathan Scales
This network shows the impact of papers produced by Nathan Scales. 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 Nathan Scales. The network helps show where Nathan Scales may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Scales, 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 | Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Hit paper breakdown → | 2023 | 130 |
| 2 | 2018 | 28 | |
| 3 | 2020 | 24 | |
| 4 | 2016 | 19 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Nathan Scales
Nathan Scales is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Radiological and Ultrasound Technology, Emergency Medicine and Critical Care and Intensive Care Medicine, having authored 19 papers that have together received 254 indexed citations. Recurring topics across this work include Organ Donation and Transplantation (5 papers), Family and Patient Care in Intensive Care Units (3 papers), Cardiac Arrest and Resuscitation (3 papers), Sepsis Diagnosis and Treatment (3 papers), Healthcare Decision-Making and Restraints (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Intensive Care Unit Cognitive Disorders (2 papers) and Palliative Care and End-of-Life Issues (2 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (87 citations), Critical Care and Intensive Care Medicine (8 citations), Emergency Medicine (11 citations) and Family Practice (2 citations). Nathan Scales has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Nathanael Schärli, Aakanksha Chowdhery, Sebastian Gehrmann, Ed H., Mirac Süzgün, Denny Zhou, Jason Lee, Quoc V. Le, Hyung Won Chung and Yi Tay. Their work appears in journals such as BMJ Open, American Journal of Transplantation, Scientific Reports, Shock and Social Science & Medicine.
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.