Peter J. Burke

7.9k citations
142 papers · 6.0k · h-index 36

Impact in

Papers in

Peter J. Burke

138 papers receiving 5.7k citations

Peers

Peter J. Burke
Comparison fields: 5 of 175
  • Materials Chemistry 2.3k
  • Biomedical Engineering 2.0k
  • Electrical and Electronic Engineering 2.4k
  • Atomic and Molecular Physics, and Optics 1.3k
  • Nuclear Energy and Engineering 13
Replace Wen‐Yan Yin with:
Wen‐Yan Yin China
Yue Wang China
Zhiyong Zhang China
Justin S. White United States
J. J. Coleman United States
M. Asif Khan United States
Ho‐Cheol Kim United States
Qinglin Wang China
Jae‐Shin Lee South Korea
James A. Forrest Canada
Peter J. Burke relative to Wen‐Yan Yin China Wen‐Yan Yin's profile →
Citations per field
00.5×2.6×
Wen‐Yan Yin · 1×
Citations per year

Countries citing papers authored by Peter J. Burke

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002450
2 2017348
3 2003304
4 2006301
5 1994299
6 1994264
7 2009252
8 2002229
9 2004166
10 2004165
11 2004163
12 2004156
13 1997153
14 2011137
15 2015126
16 2000125
17 2009115
18 2007104
19 2019102
20 2012101

About Peter J. Burke

Peter J. Burke is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 142 papers that have together received 6.0k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (39 papers), Graphene research and applications (33 papers), Molecular Junctions and Nanostructures (20 papers), Quantum and electron transport phenomena (16 papers), Nanowire Synthesis and Applications (15 papers), Physics of Superconductivity and Magnetism (12 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Materials Chemistry (2.3k citations), Biomedical Engineering (2.0k citations), Electrical and Electronic Engineering (2.4k citations), Atomic and Molecular Physics, and Optics (1.3k citations) and Nuclear Energy and Engineering (13 citations). Peter J. Burke has collaborated with scholars based in United States, France and Spain. Frequent co-authors include A. Timothy Church, Zhen Yu, Chris Rutherglen, Shengdong Li, Dheeraj Jain, Nima Rouhi, Lifeng Zheng, Yung Yu Wang, Christopher Rutherglen and James P. Brody. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Nanotechnology, Scientific Reports, ACS Nano and Nano Research.

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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