David W. Winters

15 total papers · 536 total citations
12 papers, 421 citations indexed

About

David W. Winters is a scholar working on Biomedical Engineering, Aerospace Engineering and Mathematical Physics. According to data from OpenAlex, David W. Winters has authored 12 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Aerospace Engineering and 3 papers in Mathematical Physics. Recurrent topics in David W. Winters's work include Microwave Imaging and Scattering Analysis (6 papers), Numerical methods in inverse problems (3 papers) and Geophysical Methods and Applications (3 papers). David W. Winters is often cited by papers focused on Microwave Imaging and Scattering Analysis (6 papers), Numerical methods in inverse problems (3 papers) and Geophysical Methods and Applications (3 papers). David W. Winters collaborates with scholars based in United States and United Kingdom. David W. Winters's co-authors include Susan C. Hagness, B.D. Van Veen, Jacob D. Shea, E. Bond, Panagiotis Kosmas, Ernest L. Madsen, Gary R. Frank, David Coley, R. P. Perry and George F. Sawaya and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Antennas and Propagation.

In The Last Decade

David W. Winters

12 papers receiving 399 citations

Author Peers

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

Author						Papers	Cites
David W. Winters	364	213	110	101	68	12	421
Tonny Rubæk	359 1.0×	214 1.0×	80 0.7×	148 1.5×	52 0.8×	21	405
Tommy Henriksson	450 1.2×	173 0.8×	100 0.9×	185 1.8×	76 1.1×	24	492
Charlotte Curtis	398 1.1×	205 1.0×	111 1.0×	118 1.2×	103 1.5×	16	432
Zhong Qing Zhang	239 0.7×	188 0.9×	90 0.8×	154 1.5×	40 0.6×	16	382
Ch. Pichot	260 0.7×	166 0.8×	79 0.7×	165 1.6×	68 1.0×	26	384
Antonio Cuccaro	385 1.1×	264 1.2×	82 0.7×	113 1.1×	126 1.9×	32	477
Jessi E. Johnson	256 0.7×	92 0.4×	48 0.4×	99 1.0×	37 0.5×	20	371
M. J. Berggren	280 0.8×	88 0.4×	125 1.1×	72 0.7×	17 0.3×	23	430
Douglas Kurrant	415 1.1×	281 1.3×	141 1.3×	110 1.1×	52 0.8×	31	433
Rohit Chandra	377 1.0×	75 0.4×	56 0.5×	214 2.1×	118 1.7×	30	482

Countries citing papers authored by David W. Winters

Since Specialization

Citations

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

Fields of papers citing papers by David W. Winters

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Winters. 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 David W. Winters. The network helps show where David W. Winters may publish in the future.

Co-authorship network of co-authors of David W. Winters

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Winters. A scholar is included among the top collaborators of David W. Winters 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 David W. Winters. David W. Winters 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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