Keenan Moore

556 total citations
4 papers, 16 citations indexed

About

Keenan Moore is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Keenan Moore has authored 4 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Biomedical Engineering. Recurrent topics in Keenan Moore's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (2 papers) and Renal cell carcinoma treatment (2 papers). Keenan Moore is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (2 papers) and Renal cell carcinoma treatment (2 papers). Keenan Moore collaborates with scholars based in United States, Australia and South Korea. Keenan Moore's co-authors include Matthew Peterson, Nicholas Heller, Sarah Peterson, Nikolaos Papanikolopoulos, Arveen Kalapara, Resha Tejpaul, Ranveer Vasdev, Niranjan Sathianathen, Makinna Oestreich and Christopher Weight and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Urology and Clinical Medicine & Research.

In The Last Decade

Keenan Moore

3 papers receiving 16 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keenan Moore United States	2	11	9	7	2	2	4	16
Antanas Kascenas United Kingdom	1	11 1.0×	6 0.7×	11 1.6×		4 2.0×	2	22
Maximilian Zenk Germany	3	11 1.0×	8 0.9×	5 0.7×		2 1.0×	5	17
Jim Winkens Netherlands	2	5 0.5×	7 0.8×	5 0.7×			3	12
Imane Nedjar Algeria	4	8 0.7×	8 0.9×	9 1.3×		1 0.5×	8	33
Leonid Kostrykin Germany	3	4 0.4×	12 1.3×	12 1.7×		2 1.0×	3	19
Savita Madhusudhan United Kingdom	2	22 2.0×	18 2.0×	9 1.3×		4 2.0×	2	28
Ravin Kumar India	3	4 0.4×	11 1.2×	6 0.9×			8	19
Xinzhe Luo China	3	6 0.5×	8 0.9×	4 0.6×		6 3.0×	6	22
Muhammad Hanif Japan	3	5 0.5×	4 0.4×	3 0.4×		2 1.0×	16	26
Manuela Costantino Canada	3	4 0.4×	4 0.4×	5 0.7×		3 1.5×	4	22

Countries citing papers authored by Keenan Moore

Since Specialization

Citations

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

Fields of papers citing papers by Keenan Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keenan Moore

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

All Works

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4 of 4 papers shown

1.

Heller, Nicholas, Matthew Peterson, Stephanie Peterson, et al.. (2020). An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging. European Urology Open Science. 19. e738–e738. 5 indexed citations

2.

Heller, Nicholas, Sean McSweeney, Matthew Peterson, et al.. (2020). MP42-11 AN INTERNATIONAL CHALLENGE TO USE ARTIFICIAL INTELLIGENCE TO DEFINE THE STATE OF THE ART IN KIDNEY AND KIDNEY TUMOR SEGMENTATION IN CT IMAGING. The Journal of Urology. 203(Supplement 4).

3.

Heller, Nicholas, Sean McSweeney, Matthew Peterson, et al.. (2020). An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in CT imaging.. Journal of Clinical Oncology. 38(6_suppl). 626–626. 10 indexed citations

4.

Brown, Jeffrey S., Sharon McDonald, Keenan Moore, et al.. (2010). PS1-20: VDW Operational Committee: Current Activities and Future Directions. Clinical Medicine & Research. 8(1). 61–62. 1 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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