John D. Murphy

3.9k citations
153 papers · 2.8k · h-index 29

Impact in

Papers in

John D. Murphy

142 papers receiving 2.7k citations

Peers

John D. Murphy
Comparison fields: 5 of 143
  • Human-Computer Interaction 283
  • Electrical and Electronic Engineering 1.7k
  • Atomic and Molecular Physics, and Optics 631
  • Computational Mechanics 336
  • Materials Chemistry 564
Replace Klas Hjort with:
Klas Hjort Sweden
Peter Childs United Kingdom
Yiyi Li China
Stefan Johansson Sweden
Merrilea J. Mayo United States
Wonhee Lee South Korea
Dongho Kim South Korea
Hideyuki Tanaka Japan
Voicu Popescu United States
William A. Hamilton United States
John D. Murphy relative to Klas Hjort Sweden Klas Hjort's profile →
Citations per field
00.5×3.0×
Klas Hjort · 1×
Citations per year

Countries citing papers authored by John D. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by John D. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Murphy. 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 John D. Murphy. The network helps show where John D. Murphy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009433
2 2012113
3 2021109
4 201787
5 197386
6 201677
7 201169
8 201366
9 201358
10 201656
11 201555
12 201953
13 201746
14 201746
15 202146
16 201942
17 200838
18 196537
19 197337
20 201136

About John D. Murphy

John D. Murphy is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry, Computational Mechanics and Aerospace Engineering, having authored 153 papers that have together received 2.8k indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (73 papers), Semiconductor materials and interfaces (42 papers), Thin-Film Transistor Technologies (42 papers), Semiconductor materials and devices (30 papers), Integrated Circuits and Semiconductor Failure Analysis (16 papers), Fluid Dynamics and Turbulent Flows (15 papers), Silicon Nanostructures and Photoluminescence (12 papers) and Computational Fluid Dynamics and Aerodynamics (12 papers). The work is most often cited by research in Human-Computer Interaction (283 citations), Electrical and Electronic Engineering (1.7k citations), Atomic and Molecular Physics, and Optics (631 citations), Computational Mechanics (336 citations) and Materials Chemistry (564 citations). John D. Murphy has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Nicholas E. Grant, R. Falster, Deepak Khazanchi, Dawn Owens, Ilze Zigurs, Alanah Davis, Karsten Bothe, V. V. Voronkov, Daniel C. Reda and Tim Niewelt. Their work appears in journals such as Journal of Applied Physics, IEEE Journal of Photovoltaics, Solar Energy Materials and Solar Cells, AIAA Journal and physica status solidi (a).

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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