Daniel S. Elson

6.7k citations
238 papers · 5.4k · h-index 42

Impact in

Papers in

Daniel S. Elson

223 papers receiving 5.2k citations

Peers

Daniel S. Elson
Comparison fields: 5 of 142
  • Biophysics 1.3k
  • Acoustics and Ultrasonics 146
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Biomedical Engineering 1.4k
  • Health Informatics 80
Replace Guolan Lu with:
Guolan Lu United States
Baowei Fei United States
Rainer Andreas Leitgeb Austria
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Elson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Elson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel S. Elson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel S. Elson Line = papers co-authored together Daniel S. Elson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 238 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013235
2 2017196
3 2004160
4 2010141
5 2020129
6 2008118
7 2017107
8 2009105
9 201499
10 201093
11 201693
12 201789
13 200388
14 200487
15 201684
16 200483
17 201478
18 201778
19 201375
20 201372

About Daniel S. Elson

Daniel S. Elson is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics, Biomedical Engineering, Computer Vision and Pattern Recognition and Acoustics and Ultrasonics, having authored 238 papers that have together received 5.4k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (110 papers), Advanced Fluorescence Microscopy Techniques (41 papers), Optical Polarization and Ellipsometry (26 papers), Spectroscopy Techniques in Biomedical and Chemical Research (14 papers), Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (12 papers), Optical measurement and interference techniques (10 papers) and Nanoplatforms for cancer theranostics (9 papers). The work is most often cited by research in Biophysics (1.3k citations), Acoustics and Ultrasonics (146 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Biomedical Engineering (1.4k citations) and Health Informatics (80 citations). Daniel S. Elson has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Ji Qi, Neil T. Clancy, Danail V. Stoyanov, P. M. W. French, Laura Marcu, Guang‐Zhong Yang, Mark A. A. Neil, Lena Maier‐Hein, Lord Ara Darzi and Christopher W. Dunsby. Their work appears in journals such as Biomedical Optics Express, Optics Letters, International Journal of Computer Assisted Radiology and Surgery, Annals of Surgical Oncology and Journal of Biomedical Optics.

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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