Keith Dreyer

496 total citations
6 papers, 275 citations indexed

About

Keith Dreyer is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Keith Dreyer has authored 6 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health Informatics, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biomedical Engineering. Recurrent topics in Keith Dreyer's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Radiology practices and education (2 papers). Keith Dreyer is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Radiology practices and education (2 papers). Keith Dreyer collaborates with scholars based in United States, Netherlands and Austria. Keith Dreyer's co-authors include Curtis P. Langlotz, Barbara Prainsack, Marc Dewey, John J. Smith, Michael P. Recht, Wiro J. Niessen, Bibb Allen, Wendy Nilsen, Judy Burleson and Sheela Agarwal and has published in prestigious journals such as American Journal of Roentgenology, European Radiology and Journal of the American College of Radiology.

In The Last Decade

Keith Dreyer

6 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith Dreyer United States	4	169	158	75	61	21	6	275
Ashik Amlani United Kingdom	5	161 1.0×	257 1.6×	75 1.0×	39 0.6×	38 1.8×	7	366
Cedric Bohyn Belgium	5	170 1.0×	186 1.2×	78 1.0×	40 0.7×	12 0.6×	10	278
Patricia L. Zadnik Sullivan United States	3	167 1.0×	292 1.8×	90 1.2×	24 0.4×	19 0.9×	5	353
Anna Theresa Stüber Germany	4	175 1.0×	245 1.6×	142 1.9×	25 0.4×	26 1.2×	11	358
Charisma Hehakaya Netherlands	5	126 0.7×	133 0.8×	43 0.6×	37 0.6×	28 1.3×	10	240
Ural Koç Türkiye	8	198 1.2×	189 1.2×	83 1.1×	45 0.7×	12 0.6×	29	343
Andreas Mittermeier Germany	4	164 1.0×	244 1.5×	139 1.9×	23 0.4×	26 1.2×	9	347
Lauren Oakden‐Rayner Australia	11	152 0.9×	207 1.3×	99 1.3×	64 1.0×	42 2.0×	19	380
Martin Kočí United States	4	179 1.1×	186 1.2×	79 1.1×	44 0.7×	9 0.4×	6	294
Samir Touma Canada	6	264 1.6×	326 2.1×	96 1.3×	17 0.3×	29 1.4×	14	456

Countries citing papers authored by Keith Dreyer

Since Specialization

Citations

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

Fields of papers citing papers by Keith Dreyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Dreyer

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

All Works

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6 of 6 papers shown

1.

Recht, Michael P., Marc Dewey, Keith Dreyer, et al.. (2020). Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations. European Radiology. 30(6). 3576–3584. 161 indexed citations

2.

Allen, Bibb, Steven E. Seltzer, Curtis P. Langlotz, et al.. (2019). A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop. Journal of the American College of Radiology. 16(9). 1179–1189. 77 indexed citations

3.

Allen, Bibb, Sheela Agarwal, Jayashree Kalpathy–Cramer, & Keith Dreyer. (2019). Democratizing AI. Journal of the American College of Radiology. 16(7). 961–963. 22 indexed citations

4.

Allen, Bibb & Keith Dreyer. (2018). The Artificial Intelligence Ecosystem for the Radiological Sciences: Ideas to Clinical Practice. Journal of the American College of Radiology. 15(10). 1455–1457. 9 indexed citations

5.

Sistrom, Chris L., Keith Dreyer, Jeffrey B. Weilburg, et al.. (2015). Images of Imaging: How to Process and Display Imaging Utilization for Large Populations. American Journal of Roentgenology. 204(4). W405–W420. 3 indexed citations

6.

Dreyer, Keith, et al.. (1999). Road to voice recognition includes planning, training.. PubMed. Suppl. P35–7, P39. 3 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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