Daniel J. DeVries

18 total papers · 456 total citations
12 papers, 321 citations indexed

About

Daniel J. DeVries is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiological and Ultrasound Technology. According to data from OpenAlex, Daniel J. DeVries has authored 12 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 4 papers in Radiological and Ultrasound Technology. Recurrent topics in Daniel J. DeVries's work include Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (5 papers) and Radioactivity and Radon Measurements (3 papers). Daniel J. DeVries is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (5 papers) and Radioactivity and Radon Measurements (3 papers). Daniel J. DeVries collaborates with scholars based in United States, Netherlands and Sweden. Daniel J. DeVries's co-authors include Michelle A. King, P. Hendrik Pretorius, James A. Case, Tinsu Pan, Alastair Cunningham, H. C. Griffin, Dennis R. Schaart, Michael A. King, Michael R. Hartman and Terrence J. Udovic and has published in prestigious journals such as The Journal of Physical Chemistry C, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Daniel J. DeVries

12 papers receiving 314 citations

Author Peers

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

Author						Papers	Cites
Daniel J. DeVries	178	98	59	57	30	12	321
U. Ankerhold	121 0.7×	65 0.7×	218 3.7×	48 0.8×	65 2.2×	26	342
Valeriia N. Starovoitova	195 1.1×	10 0.1×	149 2.5×	62 1.1×	9 0.3×	25	353
S. Okabe	21 0.1×	26 0.3×	186 3.2×	59 1.0×	52 1.7×	14	343
Y.D. Harker	96 0.5×	28 0.3×	161 2.7×	111 1.9×	89 3.0×	28	323
S. Cartier	74 0.4×	95 1.0×	234 4.0×	66 1.2×	17 0.6×	17	365
L. T. Dillman	154 0.9×	44 0.4×	176 3.0×	21 0.4×	36 1.2×	13	306
J.W. Barnes	96 0.5×	8 0.1×	114 1.9×	43 0.8×	21 0.7×	31	276
H.P. Weise	15 0.1×	31 0.3×	123 2.1×	47 0.8×	139 4.6×	27	338
James Turner	37 0.2×	21 0.2×	71 1.2×	71 1.2×	22 0.7×	16	257
Peter R. Gray	26 0.1×	28 0.3×	128 2.2×	46 0.8×	64 2.1×	17	344

Countries citing papers authored by Daniel J. DeVries

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. DeVries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. DeVries. 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 Daniel J. DeVries. The network helps show where Daniel J. DeVries may publish in the future.

Co-authorship network of co-authors of Daniel J. DeVries

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. DeVries. A scholar is included among the top collaborators of Daniel J. DeVries 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 Daniel J. DeVries. Daniel J. DeVries 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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