Devan Williams

2.6k total citations
4 papers, 21 citations indexed

About

Devan Williams is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Devan Williams has authored 4 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 1 paper in Computational Theory and Mathematics. Recurrent topics in Devan Williams's work include Medical Image Segmentation Techniques (2 papers), Advanced Malware Detection Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). Devan Williams is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Advanced Malware Detection Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). Devan Williams collaborates with scholars based in United States. Devan Williams's co-authors include William J. Ohley, A S Most, Henry Gewirtz, Yuping Sun and Steven Kay and has published in prestigious journals such as Journal of Media Literacy Education and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Devan Williams

4 papers receiving 19 citations

Peers

Devan Williams
Comparison fields: 5 of 19
  • Computer Vision and Pattern Recognition 8
  • Pulmonary and Respiratory Medicine 6
  • Artificial Intelligence 5
  • Radiology, Nuclear Medicine and Imaging 5
  • Signal Processing 4
Replace Tomoaki Chono with:
Tomoaki Chono Japan
C. Fassnacht Germany
Lê Duy Huỳnh France
Vladimir Groza Russia
Robin Demesmaeker Switzerland
Maximilian Zenk Germany
J. M. Morookian United States
Lu Yan China
Alberto Velasco Spain
Tomoaki Chono Japan View profile →
Citations per field, relative to Devan Williams
Devan Williams · 1×
Citations per year, relative to Devan Williams
Devan Williams · 1×

Countries citing papers authored by Devan Williams

Since Specialization
Citations

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

Fields of papers citing papers by Devan Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devan Williams

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

All Works

4 of 4 papers shown
# Work Indexed citations
1 1
2
HIERARCHICAL SEARCH ALGORITHM FOR IDENTIFICATION OF CORONARY ARTERY CONTOURS IN DIGITAL ANGIOGRAMS.
4
3 2
4
ANALYSIS AND INTERPOLATION OF ANGIOGRAPHIC IMAGES BY USE OF FRACTALS.
14

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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