William D. Richard

716 total citations
30 papers, 523 citations indexed

About

William D. Richard is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William D. Richard has authored 30 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William D. Richard's work include Medical Image Segmentation Techniques (5 papers), Ultrasound Imaging and Elastography (4 papers) and Advanced MRI Techniques and Applications (4 papers). William D. Richard is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Ultrasound Imaging and Elastography (4 papers) and Advanced MRI Techniques and Applications (4 papers). William D. Richard collaborates with scholars based in United States, Australia and France. William D. Richard's co-authors include Jason W. Trobaugh, Richard D. Bucholz, Kurt R. Smith, R. Martin Arthur, K. Kirk Shung, Jeremy A. Johnson, Lei Sun, Changjian Feng, Xiaochen Xu and Jesse T. Yen and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Journal of Investigative Dermatology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

William D. Richard

27 papers receiving 480 citations

Peers

William D. Richard
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 230
  • Radiology, Nuclear Medicine and Imaging 207
  • Biomedical Engineering 199
  • Pulmonary and Respiratory Medicine 50
  • Surgery 50
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Citations per field, relative to William D. Richard
William D. Richard · 1×
Citations per year, relative to William D. Richard
William D. Richard · 1×

Countries citing papers authored by William D. Richard

Since Specialization
Citations

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

Fields of papers citing papers by William D. Richard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Richard. 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 William D. Richard. The network helps show where William D. Richard may publish in the future.

Co-authorship network of co-authors of William D. Richard

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2
Efficient Parallel Real-Time Upsampling with Xilinx FPGAs
1
3 4
4 1
5
Improving Traffic Signal Management and Operations: A Basic Service Model
3
6 39
7 39
8 7
9 8
10 1
11 5
12 78
13 6
14 105
15 7
16 68
17 9
18 5
19
Reservations to Treaties
15
20 5

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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