Cam Macdonell

757 total citations
13 papers, 586 citations indexed

About

Cam Macdonell is a scholar working on Molecular Biology, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Cam Macdonell has authored 13 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Computer Science Applications and 2 papers in Computer Networks and Communications. Recurrent topics in Cam Macdonell's work include Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (2 papers) and Online Learning and Analytics (2 papers). Cam Macdonell is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (2 papers) and Online Learning and Analytics (2 papers). Cam Macdonell collaborates with scholars based in Canada, United States and Mexico. Cam Macdonell's co-authors include David S. Wishart, P. Lu, Roman Eisner, Brett Poulin, Duane Szafron, Russell Greiner, John Anvik, Zhonghua Lu, Alona Fyshe and Jianmin Zhou and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Parallel and Distributed Computing.

In The Last Decade

Cam Macdonell

11 papers receiving 569 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cam Macdonell Canada 8 376 83 39 39 34 13 586
Cath Brooksbank United Kingdom 18 730 1.9× 33 0.4× 46 1.2× 43 1.1× 20 0.6× 61 953
Rafael C. Jiménez United Kingdom 14 571 1.5× 55 0.7× 125 3.2× 66 1.7× 26 0.8× 31 780
Didier Devaurs United States 15 392 1.0× 53 0.6× 17 0.4× 50 1.3× 52 1.5× 29 748
Yimeng Dou United States 8 718 1.9× 59 0.7× 150 3.8× 93 2.4× 39 1.1× 20 998
Dana Movshovitz‐Attias United States 9 514 1.4× 133 1.6× 189 4.8× 18 0.5× 52 1.5× 12 842
Kenji Satou Japan 18 659 1.8× 135 1.6× 57 1.5× 16 0.4× 32 0.9× 95 1.1k
Wen Xiao China 10 115 0.3× 50 0.6× 27 0.7× 16 0.4× 29 0.9× 26 378
Graham Cameron United Kingdom 13 770 2.0× 71 0.9× 32 0.8× 20 0.5× 46 1.4× 22 981

Countries citing papers authored by Cam Macdonell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Cam Macdonell

This figure shows the co-authorship network connecting the top 25 collaborators of Cam Macdonell. A scholar is included among the top collaborators of Cam Macdonell 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 Cam Macdonell. Cam Macdonell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Macdonell, Cam, et al.. (2020). Internationalizing the Student Experience Through Computing for Social Good. 434–440. 2 indexed citations
2.
Macdonell, Cam, et al.. (2020). The Use of HFOSS Projects in the Grace Hopper Celebration of Women in Computing Open Source Day. Papers on Engineering Education Repository (American Society for Engineering Education).
3.
Macdonell, Cam. (2015). Ushahidi. ACM SIGCAS Computers and Society. 45(2). 38–38. 10 indexed citations
4.
5.
Berjanskii, Mark, Yu‐He Liang, Jianmin Zhou, et al.. (2010). PROSESS: a protein structure evaluation suite and server. Nucleic Acids Research. 38(Web Server). W633–W640. 67 indexed citations
6.
Lu, Paul, et al.. (2010). Virtual Application Appliances in Practice: Basic Mechanisms and Overheads. 213–222. 1 indexed citations
7.
Berjanskii, Mark, Patrick Tang, Jing Liang, et al.. (2009). GeNMR: a web server for rapid NMR-based protein structure determination. Nucleic Acids Research. 37(Web Server). W670–W677. 43 indexed citations
8.
Poulin, Brett, Roman Eisner, Duane Szafron, et al.. (2006). Visual explanation of evidence in additive classifiers. Innovative Applications of Artificial Intelligence. 1822–1829. 57 indexed citations
9.
Lu, Paul, et al.. (2006). The Trellis security infrastructure for overlay metacomputers and bridged distributed file systems. Journal of Parallel and Distributed Computing. 66(9). 1181–1188. 1 indexed citations
10.
Szafron, Duane, P. Lu, Russell Greiner, et al.. (2004). Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations. Nucleic Acids Research. 32(Web Server). W365–W371. 88 indexed citations
11.
Lu, Zhonghua, Duane Szafron, Russell Greiner, et al.. (2004). Predicting subcellular localization of proteins using machine-learned classifiers. Bioinformatics. 20(4). 547–556. 276 indexed citations
12.
Lu, Zhiyong, Roman Eisner, Paul Lu, et al.. (2003). Proteome Analyst - Transparent High-throughput Protein Annotation: Function, Localization and Custom Predictors. University of Alberta Library. 6 indexed citations
13.
Greiner, Russell, Brett Poulin, Paul Lu, et al.. (2003). Explaining Naive Bayes Classifications. University of Alberta Library. 10 indexed citations

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.

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