Katherine Ellis

48 total papers · 1.3k total citations
32 papers, 894 citations indexed

About

Katherine Ellis is a scholar working on Computer Vision and Pattern Recognition, Equine and Physiology. According to data from OpenAlex, Katherine Ellis has authored 32 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Equine and 7 papers in Physiology. Recurrent topics in Katherine Ellis's work include Veterinary Equine Medical Research (8 papers), Physical Activity and Health (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Katherine Ellis is often cited by papers focused on Veterinary Equine Medical Research (8 papers), Physical Activity and Health (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Katherine Ellis collaborates with scholars based in United States, Australia and Hong Kong. Katherine Ellis's co-authors include Gert Lanckriet, Jacqueline Kerr, Suneeta Godbole, Simon J. Marshall, John Staudenmayer, David Wing, Nadir Weibel, Melissa R. King, Emanuele Coviello and Catherine R. Marinac and has published in prestigious journals such as Medicine & Science in Sports & Exercise, American Journal of Preventive Medicine and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Katherine Ellis

30 papers receiving 866 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katherine Ellis 366 243 236 116 112 32 894
Fahd Albinali 257 0.7× 201 0.8× 160 0.7× 79 0.7× 21 0.2× 23 757
Ernesto Ramirez 187 0.5× 168 0.7× 190 0.8× 167 1.4× 67 0.6× 34 1.0k
Simon Sheard 478 1.3× 62 0.3× 326 1.4× 137 1.2× 21 0.2× 13 964
Paul R. Hibbing 496 1.4× 38 0.2× 337 1.4× 96 0.8× 25 0.2× 65 875
Lukas Gorzelniak 473 1.3× 65 0.3× 357 1.5× 113 1.0× 27 0.2× 14 780
Salman Taherian 378 1.0× 62 0.3× 304 1.3× 86 0.7× 21 0.2× 12 701
Josef Hallberg 83 0.2× 435 1.8× 57 0.2× 70 0.6× 58 0.5× 47 920
Che-Chang Yang 162 0.4× 277 1.1× 94 0.4× 59 0.5× 19 0.2× 11 925
Yoshitake Oshima 605 1.7× 39 0.2× 361 1.5× 150 1.3× 71 0.6× 29 1.0k
Chinmay U. Manohar 361 1.0× 36 0.1× 284 1.2× 124 1.1× 53 0.5× 18 719

Countries citing papers authored by Katherine Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Ellis

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

All Works

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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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