Cam Macdonell
Impact in
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- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Biochemical and Structural Characterization
- Bioinformatics and Genomic Networks
- Computer Science Applications top 10%
Papers in
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- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
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- Online Learning and Analytics 2
- Open Source Software Innovations 2
- Co-authors
- David S. Wishart (7 shared papers)P. Lu (4 shared papers)Roman Eisner (5 shared papers)Duane Szafron (5 shared papers)Russell Greiner (5 shared papers)Brett Poulin (5 shared papers)John Anvik (3 shared papers)Zhonghua Lu (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Bioinformatics (1 paper)Journal of Parallel and Distributed Computing (1 paper)University of Alberta Library (2 papers)ACM SIGCAS Computers and Society (1 paper)
- Partner nations
- CanadaUnited StatesSouth Sudan
In The Last Decade
Cam Macdonell
11 papers receiving 569 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 376
- Computer Science Applications 26
- Health Informatics 6
- Artificial Intelligence 83
- Microbiology 16
Countries citing papers authored by Cam Macdonell
This map shows the geographic impact of Cam Macdonell'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 Cam Macdonell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cam Macdonell more than expected).
Fields of papers citing papers by Cam Macdonell
This network shows the impact of papers produced by Cam Macdonell. 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 Cam Macdonell. The network helps show where Cam Macdonell may publish in the future.
Co-authors
The 25 scholars most cited alongside Cam Macdonell, 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 | 2004 | 276 | |
| 2 | 2004 | 88 | |
| 3 | 2010 | 67 | |
| 4 | Visual explanation of evidence in additive classifiers | 2006 | 57 |
| 5 | 2009 | 43 | |
| 6 | 2015 | 25 | |
| 7 | 2015 | 10 | |
| 8 | 2003 | 10 | |
| 9 | 2003 | 6 | |
| 10 | 2020 | 2 | |
| 11 | 2010 | 1 | |
| 12 | 2006 | 1 | |
| 13 | 2020 | 0 |
About Cam Macdonell
Cam Macdonell is a scholar working on Molecular Biology, Computer Science Applications, Computer Networks and Communications, Artificial Intelligence and Spectroscopy, having authored 13 papers that have together received 586 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), Online Learning and Analytics (2 papers), Open Source Software Innovations (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Advanced Data Storage Technologies (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Molecular Biology (376 citations), Computer Science Applications (26 citations), Health Informatics (6 citations), Artificial Intelligence (83 citations) and Microbiology (16 citations). Cam Macdonell has collaborated with scholars based in Canada, United States and South Sudan. Frequent co-authors include David S. Wishart, P. Lu, Roman Eisner, Duane Szafron, Russell Greiner, Brett Poulin, John Anvik, Zhonghua Lu, Alona Fyshe and You Zhou. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Journal of Parallel and Distributed Computing, University of Alberta Library and ACM SIGCAS Computers and Society.
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.