Jan Burke

4.4k citations
99 papers · 3.4k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Jan Burke

98 papers receiving 3.1k citations

Hit Papers

Recrystallization and grain growth 1952 · 1.3k citations
1.3k19522026197620014008001.2k

Peers

Jan Burke
Comparison fields: 5 of 101
  • Ceramics and Composites 339
  • Mechanical Engineering 1.7k
  • Metals and Alloys 114
  • Materials Chemistry 1.7k
  • Computer Vision and Pattern Recognition 678
Replace Manuel François with:
Manuel François France
D. J. Dingley United Kingdom
Stuart I. Wright United States
Brent L. Adams United States
Daniel Crespo Spain
Honglan Xie China
H. J. Bunge Germany
Michael D. Uchic United States
S. M. Walley United Kingdom
Adam J. Schwartz United States
Jan Burke relative to Manuel François France Manuel François's profile →
Citations per field
00.5×1.5×2.1×
Manuel François · 1×
Citations per year

Countries citing papers authored by Jan Burke

Since Specialization
Citations

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

Fields of papers citing papers by Jan Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202329
2 20231
3 20223
4 201624
5 201147
6 20103
7 20109
8 20101
9 20099
10 20085
11 200488
12 20005
13 19987
14 199744
15
Characterisation of cure distribution in surface initiated redox polymerisations by dynamic mechanical and dielectric thermal analyses
19913
16 197224
17 197110
18
The metal beryllium
195575
19 195425
20 19522

About Jan Burke

Jan Burke is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Computational Mechanics, Metals and Alloys and Materials Chemistry, having authored 99 papers that have together received 3.4k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (43 papers), Advanced Measurement and Metrology Techniques (33 papers), Surface Roughness and Optical Measurements (22 papers), Microstructure and mechanical properties (9 papers), Aluminum Alloy Microstructure Properties (9 papers), Digital Holography and Microscopy (9 papers), Adaptive optics and wavefront sensing (8 papers) and High Temperature Alloys and Creep (7 papers). The work is most often cited by research in Ceramics and Composites (339 citations), Mechanical Engineering (1.7k citations), Metals and Alloys (114 citations), Materials Chemistry (1.7k citations) and Computer Vision and Pattern Recognition (678 citations). Jan Burke has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include David Turnbull, Heinz Helmers, R. C. DeVries, Kenichi Hibino, Thorsten Bothe, A. D. King, Erwin Hack, Cecil F. Hess, Wolfgang Osten and T. Ramachandran. Their work appears in journals such as Optics Express, Journal of Nuclear Materials, Journal of the European Optical Society Rapid Publications, Optics Letters and JOM.

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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