Cliff Olson
Impact in
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
- Oncology 3
- Global Cancer Incidence and Screening 2
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- Breast Cancer Treatment Studies 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- Harold S. Luft (4 shared papers)Albert Chan (2 shared papers)Ming Tai-Seale (2 shared papers)Wei Wang (1 shared paper)Jinnan Li (1 shared paper)Meg Durbin (1 shared paper)Srinivasan Iyer (1 shared paper)Anna Bauer‐Mehren (1 shared paper)
- Journals
- Health Affairs (1 paper)Journal of Oncology Practice (1 paper)Cancer (1 paper)Journal of Clinical Oncology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSouth AfricaIsrael
In The Last Decade
Cliff Olson
9 papers receiving 411 citations
Cliff Olson's Hit Papers
Peers
Comparison fields: 5 of 67
- Health Information Management 106
- Health Informatics 19
- Medical Terminology 3
- Family Practice 9
- Issues, ethics and legal aspects 4
Countries citing papers authored by Cliff Olson
This map shows the geographic impact of Cliff Olson'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 Cliff Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cliff Olson more than expected).
Fields of papers citing papers by Cliff Olson
This network shows the impact of papers produced by Cliff Olson. 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 Cliff Olson. The network helps show where Cliff Olson may publish in the future.
Co-authors
The 25 scholars most cited alongside Cliff Olson, 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 | Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop Medicine Hit paper breakdown → | 2017 | 252 |
| 2 | 2013 | 65 | |
| 3 | 2013 | 48 | |
| 4 | Oncoshare: lessons learned from building an integrated multi-institutional database for comparative effectiveness research. | 2012 | 27 |
| 5 | 2010 | 12 | |
| 6 | 2016 | 11 | |
| 7 | Nudging physicians and patients with autopend clinical decision support to improve diabetes management. | 2018 | 7 |
| 8 | 2011 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2025 | 0 |
About Cliff Olson
Cliff Olson is a scholar working on Oncology, Cancer Research, Health, General Health Professions and Health Information Management, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (2 papers), Global Cancer Incidence and Screening (2 papers), Health disparities and outcomes (1 paper), Electronic Health Records Systems (1 paper), Patient Satisfaction in Healthcare (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Cancer Genomics and Diagnostics (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Health Information Management (106 citations), Health Informatics (19 citations), Medical Terminology (3 citations), Family Practice (9 citations) and Issues, ethics and legal aspects (4 citations). Cliff Olson has collaborated with scholars based in United States, South Africa and Israel. Frequent co-authors include Harold S. Luft, Albert Chan, Ming Tai-Seale, Wei Wang, Jinnan Li, Meg Durbin, Srinivasan Iyer, Anna Bauer‐Mehren, Paea LePendu and Nicholas J. Leeper. Their work appears in journals such as Health Affairs, Journal of Oncology Practice, Cancer, Journal of Clinical Oncology and PLoS ONE.
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.