M. A. Py

2k citations
60 papers · 1.7k · h-index 18

Impact in

Papers in

M. A. Py

55 papers receiving 1.7k citations

Peers

M. A. Py
Comparison fields: 5 of 29
  • Condensed Matter Physics 1.2k
  • Atomic and Molecular Physics, and Optics 206
  • Structural Biology 13
  • Polymers and Plastics 69
  • Electrical and Electronic Engineering 281
Replace Ralph J. Meijers with:
Ralph J. Meijers Germany
Keith M. Jones United States
S. Gautier France
Shengchun Shen China
Yevgeniy S. Puzyrev United States
Y. J. Lee Taiwan
Maeng Je Seong United States
Anirban Bhattacharyya India
Jitsuo Ohta Japan
Eleftherios Iliopoulos Greece
M. A. Py relative to Ralph J. Meijers Germany Ralph J. Meijers's profile →
Citations per field
00.5×2×4×6×7.7×
Ralph J. Meijers · 1×
Citations per year

Countries citing papers authored by M. A. Py

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Py

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Py. 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 M. A. Py. The network helps show where M. A. Py may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007298
2 2006280
3 2006154
4 2008146
5 1981118
6 2008105
7 197790
8 198745
9 200634
10 199931
11 201431
12 201025
13 201125
14 199622
15 200822
16 199820
17 199820
18 200719
19 201318
20 201417

About M. A. Py

M. A. Py is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Statistics, Probability and Uncertainty and Polymers and Plastics, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (30 papers), Advancements in Semiconductor Devices and Circuit Design (20 papers), Semiconductor Quantum Structures and Devices (16 papers), Semiconductor materials and interfaces (15 papers), Semiconductor materials and devices (9 papers), Quantum and electron transport phenomena (4 papers), Advanced Electrical Measurement Techniques (2 papers) and Solid-state spectroscopy and crystallography (2 papers). The work is most often cited by research in Condensed Matter Physics (1.2k citations), Atomic and Molecular Physics, and Optics (206 citations), Structural Biology (13 citations), Polymers and Plastics (69 citations) and Electrical and Electronic Engineering (281 citations). M. A. Py has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include N. Grandjean, Marcus Gonschorek, Eric Feltin, J.‐F. Carlin, K. Maschke, E. Kohn, Farid Medjdoub, J.‐F. Carlin, Ph. E. Schmid and Christophe Gaquière. Their work appears in journals such as Journal of Applied Physics, Applied Physics Letters, Electronics Letters, IEEE Transactions on Instrumentation and Measurement and IEEE Electron Device Letters.

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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