Leslie Sanders
- Health Informatics top 0.5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Applied Psychology top 5%
- General Health Professions
- Co-authors
- Kay LiJames C. L. ChowLu XuE W MasseyRinaldo WalcottCary D. WintzAnne Nucci‐SackÁngela Díaz
- Topics
- Artificial Intelligence in Healthcare and Education (5 papers)AI in Service Interactions (4 papers)COVID-19 diagnosis using AI (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaChild Abuse & NeglectThe Journal of Southern History
- Partner nations
- CanadaUnited States
In The Last Decade
Leslie Sanders
12 papers receiving 483 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 250
- Artificial Intelligence 246
- Radiology, Nuclear Medicine and Imaging 143
- Applied Psychology 84
- General Health Professions 74
Countries citing papers authored by Leslie Sanders
This map shows the geographic impact of Leslie Sanders'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 Leslie Sanders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie Sanders more than expected).
Fields of papers citing papers by Leslie Sanders
This network shows the impact of papers produced by Leslie Sanders. 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 Leslie Sanders. The network helps show where Leslie Sanders may publish in the future.
Co-authorship network of co-authors of Leslie Sanders
This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Sanders. A scholar is included among the top collaborators of Leslie Sanders based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leslie Sanders. Leslie Sanders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 30 | |
| 3 | 111 | |
| 4 | 20 | |
| 5 | 2 | |
| 6 | Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Reviewbreakdown → | 289 |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | Is There a Best Fit? Assessing Alternative Entrance Pathways into an Undergraduate Degree for Non-Traditional Students at York University | 1 |
| 11 | The Full and Change of CanLit: An Interview with Dionne Brand | 4 |
| 12 | Nella Larsen, Novelist of the Harlem Renaissance: A Woman's Life Unveiled | 1 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 8 |
About Leslie Sanders
Leslie Sanders is a scholar working on Health Informatics, History and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 509 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), AI in Service Interactions (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (250 citations), Applied Psychology (84 citations) and Artificial Intelligence (246 citations). Leslie Sanders has collaborated with scholars based in Canada and United States. Frequent co-authors include Kay Li, James C. L. Chow, Lu Xu, E W Massey, Rinaldo Walcott, Cary D. Wintz, Anne Nucci‐Sack, Ángela Díaz, Brenda Spotton Visano and Miranda Loh. Their work appears in journals such as SHILAP Revista de lepidopterología, Child Abuse & Neglect and The Journal of Southern History.
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.