Melvyn Smith

207 papers receiving 4.7k citations

Melvyn Smith's Hit Papers

Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective 2022 · 143 citations
1430+1+2Years since publication4080120

Peers

Melvyn Smith
Comparison fields: 5 of 193
  • Computer Graphics and Computer-Aided Design 173
  • Computer Vision and Pattern Recognition 729
  • Small Animals 250
  • Oceanography 387
  • Complementary and alternative medicine 236
Replace Robert B. Fisher with:
Robert B. Fisher United Kingdom
Xiao–Ping Zhang China
Li Shen United States
Yong Hu China
Peter Johansen Denmark
Xiaojuan Qi China
Mads Nielsen Denmark
Jinchang Ren United Kingdom
Toshihiko Yanase Japan
Dongdong Chen China
Melvyn Smith relative to Robert B. Fisher United Kingdom Robert B. Fisher's profile →
Citations per field
00.5×10×16.9×
Robert B. Fisher · 1×
Citations per year

Countries citing papers authored by Melvyn Smith

Since Specialization
Citations

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

Fields of papers citing papers by Melvyn Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melvyn Smith, 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 Melvyn Smith Line = papers co-authored together Melvyn Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000230
2 2018230
3 1981195
4 1993153
5
Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective
Hit paper breakdown →
2022143
6 2002128
7 1974126
8 2021115
9 1994113
10 1977113
11 1979100
12 200197
13 201894
14 199692
15 198084
16 199382
17 199677
18 200666
19 201964
20 200762

About Melvyn Smith

Melvyn Smith is a scholar working on Computer Vision and Pattern Recognition, Oncology, Molecular Biology, Biomedical Engineering and Computational Mechanics, having authored 223 papers that have together received 4.9k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (17 papers), Computer Graphics and Visualization Techniques (16 papers), Animal Behavior and Welfare Studies (14 papers), Optical measurement and interference techniques (13 papers), Industrial Vision Systems and Defect Detection (12 papers), Advanced Vision and Imaging (12 papers), Cutaneous Melanoma Detection and Management (12 papers) and Heart Rate Variability and Autonomic Control (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (173 citations), Computer Vision and Pattern Recognition (729 citations), Small Animals (250 citations), Oceanography (387 citations) and Complementary and alternative medicine (236 citations). Melvyn Smith has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Lyndon Smith, Mark Hansen, F. A. Dahlen, Gillian Hawcroft, Mark A. Hull, Gary A. Atkinson, Jiuai Sun, Dwain L. Eckberg, Bruce Grieve and Larry A. Beightol. Their work appears in journals such as Computers in Industry, Journal of Forensic Sciences, Image and Vision Computing, Engineering Failure Analysis and Skin Research and Technology.

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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