Kate Goddard
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
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- Planetary Science and Exploration 6
- Astro and Planetary Science 5
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Abdul Roudsari (6 shared papers)Jeremy C Wyatt (4 shared papers)N. H. Warner (6 shared papers)Sanjeev Gupta (6 shared papers)R. Charles Coombes (8 shared papers)Karen Page (4 shared papers)Jacqui Shaw (4 shared papers)David S. Guttery (4 shared papers)
- Journals
- Journal of Experimental Psychology Learning Memory and Cognition (2 papers)Metallomics (2 papers)Clinical Cancer Research (1 paper)Nature Medicine (1 paper)Geology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Kate Goddard
30 papers receiving 1.3k citations
Kate Goddard's Hit Papers
Peers
Comparison fields: 5 of 159
- Health Informatics 174
- Cancer Research 346
- General Decision Sciences 32
- Family Practice 37
- Safety Research 120
Countries citing papers authored by Kate Goddard
This map shows the geographic impact of Kate Goddard'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 Kate Goddard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Goddard more than expected).
Fields of papers citing papers by Kate Goddard
This network shows the impact of papers produced by Kate Goddard. 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 Kate Goddard. The network helps show where Kate Goddard may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate Goddard, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automation bias: a systematic review of frequency, effect mediators, and mitigators Hit paper breakdown → | 2011 | 391 |
| 2 | 2016 | 171 | |
| 3 | 2014 | 113 | |
| 4 | 2014 | 94 | |
| 5 | 2019 | 92 | |
| 6 | 2018 | 83 | |
| 7 | 2016 | 74 | |
| 8 | 2013 | 55 | |
| 9 | Automation bias - a hidden issue for clinical decision support system use. | 2011 | 31 |
| 10 | 2013 | 27 | |
| 11 | 2021 | 24 | |
| 12 | 2011 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2021 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2010 | 15 | |
| 18 | 2018 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2019 | 8 |
About Kate Goddard
Kate Goddard is a scholar working on Astronomy and Astrophysics, Cancer Research, Surgery, Pathology and Forensic Medicine and Atmospheric Science, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Planetary Science and Exploration (6 papers), Astro and Planetary Science (5 papers), Cancer Genomics and Diagnostics (5 papers), Healthcare Technology and Patient Monitoring (4 papers), Geology and Paleoclimatology Research (4 papers), Decision-Making and Behavioral Economics (3 papers), Genetic factors in colorectal cancer (3 papers) and Space Exploration and Technology (2 papers). The work is most often cited by research in Health Informatics (174 citations), Cancer Research (346 citations), General Decision Sciences (32 citations), Family Practice (37 citations) and Safety Research (120 citations). Kate Goddard has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Abdul Roudsari, Jeremy C Wyatt, N. H. Warner, Sanjeev Gupta, R. Charles Coombes, Karen Page, Jacqui Shaw, David S. Guttery, Allison Hills and Daniel Fernández-García. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Metallomics, Clinical Cancer Research, Nature Medicine and Geology.
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.