Bryan Curtis
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Emergency Medical Services top 10%
- Central Venous Catheters and Hemodialysis
Papers in
-
- Advanced Graph Theory Research 4
- Matrix Theory and Algorithms 2
- Co-authors
- David Pace (1 shared paper)Jennifer M. MacRae (1 shared paper)Lisa Semeniuk (1 shared paper)Fernando Camacho (1 shared paper)Phil McFarlane (1 shared paper)Marshall Godwin (1 shared paper)David C. Mendelssohn (1 shared paper)Chris Smith (1 shared paper)
- Journals
- Linear Algebra and its Applications (4 papers)Nephrology Dialysis Transplantation (3 papers)Renal Failure (2 papers)Graphs and Combinatorics (1 paper)Surgical Endoscopy (1 paper)
- Partner nations
- CanadaUnited StatesBelgium
In The Last Decade
Bryan Curtis
13 papers receiving 267 citations
Peers
Comparison fields: 5 of 56
- Nephrology 97
- Emergency Medical Services 41
- Family Practice 4
- Anesthesiology and Pain Medicine 8
- General Health Professions 32
Countries citing papers authored by Bryan Curtis
This map shows the geographic impact of Bryan Curtis'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 Bryan Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Curtis more than expected).
Fields of papers citing papers by Bryan Curtis
This network shows the impact of papers produced by Bryan Curtis. 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 Bryan Curtis. The network helps show where Bryan Curtis may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Curtis, 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 | 2011 | 114 | |
| 2 | 2018 | 63 | |
| 3 | 2014 | 36 | |
| 4 | 2015 | 31 | |
| 5 | 2005 | 9 | |
| 6 | 2007 | 6 | |
| 7 | 2014 | 6 | |
| 8 | 2021 | 3 | |
| 9 | 2017 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2018 | 1 | |
| 12 | 2007 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 | |
| 16 | Evaluating the CanMEDS collaborator role in residents through multi-source feedback | 2013 | 0 |
| 17 | 2025 | 0 | |
| 18 | 2021 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2015 | 0 |
About Bryan Curtis
Bryan Curtis is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Nephrology, Pulmonary and Respiratory Medicine and Surgery, having authored 20 papers that have together received 275 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (4 papers), Renal and Vascular Pathologies (2 papers), Matrix Theory and Algorithms (2 papers), Interprofessional Education and Collaboration (1 paper), Advanced Topics in Algebra (1 paper), Renal cell carcinoma treatment (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Nephrology (97 citations), Emergency Medical Services (41 citations), Family Practice (4 citations), Anesthesiology and Pain Medicine (8 citations) and General Health Professions (32 citations). Bryan Curtis has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include David Pace, Jennifer M. MacRae, Lisa Semeniuk, Fernando Camacho, Phil McFarlane, Marshall Godwin, David C. Mendelssohn, Chris Smith, Karen Yeates and Simon Langlois. Their work appears in journals such as Linear Algebra and its Applications, Nephrology Dialysis Transplantation, Renal Failure, Graphs and Combinatorics and Surgical Endoscopy.
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.