Michael J. Downs

1.7k citations
30 papers · 1.1k · h-index 15

Impact in

Papers in

Michael J. Downs

29 papers receiving 935 citations

Peers

Michael J. Downs
Comparison fields: 5 of 57
  • Statistics, Probability and Uncertainty 220
  • Mechanical Engineering 419
  • Computer Vision and Pattern Recognition 268
  • Instrumentation 28
  • Surfaces, Coatings and Films 38
Replace K P Birch with:
K P Birch United Kingdom
M Stöck France
Shulian Zhang China
Robert D. Larrabee United States
W. E. Deeds United States
E. G. Loewen Bulgaria
L H Tanner United Kingdom
Dennis R. Weise Germany
F. Löffler Germany
Marija Strojnik Mexico
Michael J. Downs relative to K P Birch United Kingdom K P Birch's profile →
Citations per field
00.5×2×4×6×7.6×
K P Birch · 1×
Citations per year

Countries citing papers authored by Michael J. Downs

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Michael J. Downs, 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 J. Downs Line = papers co-authored together Michael J. Downs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993474
2 200057
3 198854
4 198552
5 198651
6 197947
7 197845
8 196943
9 198341
10 196936
11 199827
12 198822
13 197219
14 198818
15 199317
16 199012
17 199511
18 19698
19 19808
20 19898

About Michael J. Downs

Michael J. Downs is a scholar working on Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty, Mechanical Engineering, Surfaces, Coatings and Films and Biomedical Engineering, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (15 papers), Advanced Measurement and Metrology Techniques (12 papers), Scientific Measurement and Uncertainty Evaluation (7 papers), Surface Roughness and Optical Measurements (3 papers), Optical Coatings and Gratings (3 papers), Calibration and Measurement Techniques (2 papers), Acoustic Wave Resonator Technologies (2 papers) and Optical Polarization and Ellipsometry (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (220 citations), Mechanical Engineering (419 citations), Computer Vision and Pattern Recognition (268 citations), Instrumentation (28 citations) and Surfaces, Coatings and Films (38 citations). Michael J. Downs has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include K P Birch, R. J. King, Andrew Yacoot, P B Clapham, John Nunn, W. R. C. Rowley, Günter Wilkening, Jo W. Spronck, D. H. Ferriss and M G Cox. Their work appears in journals such as Precision Engineering, Measurement Science and Technology, Applied Optics, Metrologia and Surface Science.

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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