Michael Sharp

20 papers receiving 330 citations

Peers

Michael Sharp
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 184
  • Medical Laboratory Technology 15
  • Management Information Systems 34
  • Statistics, Probability and Uncertainty 23
  • Safety, Risk, Reliability and Quality 29
Replace Dominik Kozjek with:
Dominik Kozjek Slovenia
Zoi Arkouli Greece
Franz-Josef Kahlen Portugal
Mathieu Ritou France
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R. Parkin United Kingdom
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Khaled Ziane Canada
Alessandra Ferraro Italy
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Citations per year

Countries citing papers authored by Michael Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018195
2 202121
3 201819
4
Guidance on risk assessment for animal welfare
201218
5 202113
6 201310
7 202110
8 20188
9 20196
10 20215
11 20195
12 20215
13 20194
14
Prognostic Approaches Using Transient Monitoring Methods
20124
15
Selecting Optimal Data for Creating Informed Maintenance Decisions in a Manufacturing Environment
20193
16 20173
17 20142
18 20202
19
Clubbers, Mosaic Thinkers & Design Process.
20072
20
Semi-Autonomous Labeling of Unstructured Maintenance Log Data for Diagnostic Root Cause Analysis | NIST
20161

About Michael Sharp

Michael Sharp is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Mechanical Engineering, having authored 22 papers that have together received 336 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (10 papers), Fault Detection and Control Systems (7 papers), Risk and Safety Analysis (6 papers), Reliability and Maintenance Optimization (5 papers), Machine Fault Diagnosis Techniques (3 papers), Design Education and Practice (2 papers), Digital Transformation in Industry (2 papers) and Quality and Safety in Healthcare (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (184 citations), Medical Laboratory Technology (15 citations), Management Information Systems (34 citations), Statistics, Probability and Uncertainty (23 citations) and Safety, Risk, Reliability and Quality (29 citations). Michael Sharp has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Thomas Hedberg, Ronay Ak, Brian A. Weiss, Soonjo Kwon, Yosep Oh, Moneer Helu, William Z. Bernstein, Michael P. Brundage, Allison Barnard Feeney and Radu Pavel. Their work appears in journals such as Journal of Manufacturing Systems, International Journal of Production Research, International Journal of Prognostics and Health Management, Journal of Research of the National Institute of Standards and Technology and Journal of Manufacturing Science and Engineering.

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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