Mark Daley
Impact in
- Health Informatics top 5%
-
- Intensive Care Unit Cognitive Disorders
Papers in
- Co-authors
- Suzie FerrieDouglas D. FraserMargaret Allman‐FarinelliKristine A. SmithGediminas CepinskasEric K. PattersonClaudio M. MartinMaitray A. Patel
- Journals
- Theoretical Computer Science (9 papers)Molecular Medicine (4 papers)Journal of Parenteral and Enteral Nutrition (2 papers)International Journal of Foundations of Computer Science (2 papers)Metabolomics (2 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Mark Daley
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 141
- Health Informatics 35
- Critical Care and Intensive Care Medicine 120
- Neurology 238
- Infectious Diseases 286
- Biological Psychiatry 31
Countries citing papers authored by Mark Daley
This map shows the geographic impact of Mark Daley'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 Mark Daley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Daley more than expected).
Fields of papers citing papers by Mark Daley
This network shows the impact of papers produced by Mark Daley. 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 Mark Daley. The network helps show where Mark Daley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Daley, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 25 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 55 | |
| 11 | 2021 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2015 | 9 | |
| 14 | 2015 | 34 | |
| 15 | 2014 | 9 | |
| 16 | 2012 | 2 | |
| 17 | 2011 | 16 | |
| 18 | State Complexity of Orthogonal Catenation. | 2008 | 8 |
| 19 | 2007 | 16 | |
| 20 | 2004 | 0 |
About Mark Daley
Mark Daley is a scholar working on Health Informatics, Theoretical Computer Science, Neurology, Computational Theory and Mathematics and Infectious Diseases, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA and Biological Computing (17 papers), COVID-19 Clinical Research Studies (11 papers), semigroups and automata theory (9 papers), Long-Term Effects of COVID-19 (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Protist diversity and phylogeny (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Health Informatics (35 citations), Critical Care and Intensive Care Medicine (120 citations), Neurology (238 citations), Infectious Diseases (286 citations) and Biological Psychiatry (31 citations). Mark Daley has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Suzie Ferrie, Douglas D. Fraser, Margaret Allman‐Farinelli, Kristine A. Smith, Gediminas Cepinskas, Eric K. Patterson, Claudio M. Martin, Maitray A. Patel, Michael R. Miller and Marat Slessarev. Their work appears in journals such as Theoretical Computer Science, Molecular Medicine, Journal of Parenteral and Enteral Nutrition, International Journal of Foundations of Computer Science and Metabolomics.
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.