Christina Sutherland

1.3k total citations
2 papers, 3 citations indexed

About

Christina Sutherland is a scholar working on Epidemiology, Artificial Intelligence and Emergency Medicine. According to data from OpenAlex, Christina Sutherland has authored 2 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Epidemiology, 1 paper in Artificial Intelligence and 1 paper in Emergency Medicine. Recurrent topics in Christina Sutherland's work include Evolutionary Algorithms and Applications (1 paper), Cardiac Arrest and Resuscitation (1 paper) and Sports injuries and prevention (1 paper). Christina Sutherland is often cited by papers focused on Evolutionary Algorithms and Applications (1 paper), Cardiac Arrest and Resuscitation (1 paper) and Sports injuries and prevention (1 paper). Christina Sutherland collaborates with scholars based in New Zealand and United States. Christina Sutherland's co-authors include Danielle Salmon, Simon Walters, Marelise Badenhorst, Chris Whatman, Johna K. Register‐Mihalik, Zachary Y. Kerr and S. John Sullivan and has published in prestigious journals such as European Journal of Sport Science and 38th Aerospace Sciences Meeting and Exhibit.

In The Last Decade

Christina Sutherland

2 papers receiving 2 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christina Sutherland New Zealand	2	1	1	1	1	1	2	3
Ana Gaspar Portugal	2					1 1.0×	3	2
B. Popovici Romania	2						3	2
S. Blyweert Belgium	2						3	2
Z. Gecse United States	2						2	2
Oscar Montaña Argentina	2				1 1.0×		4	3
H. P. Marks United States	2						2	2
A. M. Ruland	2						2	2
Óscar Ribeiro Portugal	1						2	3
Katja Popovska North Macedonia	2				1 1.0×		2	2
Richard Gottheil	2						4	2

Countries citing papers authored by Christina Sutherland

Since Specialization

Citations

This map shows the geographic impact of Christina Sutherland'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 Christina Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Sutherland more than expected).

Fields of papers citing papers by Christina Sutherland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina Sutherland. 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 Christina Sutherland. The network helps show where Christina Sutherland may publish in the future.

Co-authorship network of co-authors of Christina Sutherland

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

All Works

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2 of 2 papers shown

1.

Salmon, Danielle, Marelise Badenhorst, Zachary Y. Kerr, et al.. (2024). Utilisation of New Zealand Rugby's concussion management pathway: A mixed methods investigation. European Journal of Sport Science. 24(12). 1883–1902. 1 indexed citations

2.

Sutherland, Christina. (2000). Online genetic re-training of a neural network control system for wind tunnels. 38th Aerospace Sciences Meeting and Exhibit. 2 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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