Sam Fletcher

631 citations
18 papers · 369 · h-index 9

Impact in

Papers in

    • Privacy-Preserving Technologies in Data 6
    • Machine Learning and Data Classification 3
    • Imbalanced Data Classification Techniques 2
    • Data Mining Algorithms and Applications 5

Sam Fletcher

16 papers receiving 356 citations

Peers

Sam Fletcher
Comparison fields: 5 of 98
  • Artificial Intelligence 154
  • Computer Science Applications 17
  • Mechanics of Materials 77
  • Ocean Engineering 37
  • Signal Processing 21
Replace Bingjun Sun with:
Bingjun Sun United States
Tim Clarke United Kingdom
Ru Li China
Maria Drakaki Greece
Rong-Chang Chen Taiwan
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Yi Ouyang China
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Sam Fletcher relative to Bingjun Sun United States Bingjun Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sam Fletcher

Since Specialization
Citations

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

Fields of papers citing papers by Sam Fletcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Sam Fletcher, 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 Sam Fletcher Line = papers co-authored together Sam Fletcher links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201897
2 201972
3 201754
4 201053
5 201125
6 201417
7 201811
8 202010
9 19658
10 20186
11
Measuring rule retention in anonymized data – when one measure is not enough
20174
12 20113
13 20143
14 20192
15 20152
16 20101
17 19981
18 20210

About Sam Fletcher

Sam Fletcher is a scholar working on Artificial Intelligence, Information Systems, Mechanics of Materials, Management Science and Operations Research and Mechanical Engineering, having authored 18 papers that have together received 369 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Data Mining Algorithms and Applications (5 papers), Data Quality and Management (4 papers), Ultrasonics and Acoustic Wave Propagation (4 papers), Non-Destructive Testing Techniques (4 papers), Machine Learning and Data Classification (3 papers), Privacy, Security, and Data Protection (3 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (154 citations), Computer Science Applications (17 citations), Mechanics of Materials (77 citations), Ocean Engineering (37 citations) and Signal Processing (21 citations). Sam Fletcher has collaborated with scholars based in Australia, Estonia and United Kingdom. Frequent co-authors include Md Zahidul Islam, Madis Ratassepp, M. J. S. Lowe, Brijesh Verma, Aleksander Klauson, James W. Fletcher, Rhonda Hobbs, Donald O. Thompson, Alexander K. Hudek and Dale E. Chimenti. Their work appears in journals such as The Journal of the Acoustical Society of America, Neurocomputing, Journal of Nondestructive Evaluation, ACM Computing Surveys and Journal of King Saud University - Computer and Information Sciences.

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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