M.A. Pick

1.5k citations
39 papers · 1.4k · h-index 17

Impact in

Papers in

M.A. Pick

37 papers receiving 1.3k citations

Peers

M.A. Pick
Comparison fields: 5 of 39
  • Materials Chemistry 1.2k
  • Metals and Alloys 67
  • Nuclear and High Energy Physics 113
  • Atomic and Molecular Physics, and Optics 79
  • Surfaces, Coatings and Films 15
Replace Yuko HIROHATA with:
Yuko HIROHATA Japan
Robert Bastasz United States
Alexander A. Pisarev Russia
Ivan P. Chernov Russia
C. L. Bisson United States
B.E. Mills United States
J.W. Davis Canada
Brent J. Heuser United States
F. Reichel Germany
Jie Qiu China
M.A. Pick relative to Yuko HIROHATA Japan Yuko HIROHATA's profile →
Citations per field
00.5×1.5×2.1×
Yuko HIROHATA · 1×
Citations per year

Countries citing papers authored by M.A. Pick

Since Specialization
Citations

This map shows the geographic impact of M.A. Pick'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. Pick 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. Pick more than expected).

Fields of papers citing papers by M.A. Pick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985282
2 1999218
3 1979176
4 197884
5 199979
6 197671
7 199867
8 200243
9 198037
10 198035
11 197732
12 200529
13 200625
14 199022
15 199520
16 200719
17 199018
18 199217
19 199415
20 19909

About M.A. Pick

M.A. Pick is a scholar working on Materials Chemistry, Nuclear and High Energy Physics, Industrial and Manufacturing Engineering, Mechanical Engineering and Nuclear Energy and Engineering, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fusion materials and technologies (30 papers), Hydrogen Storage and Materials (10 papers), Magnetic confinement fusion research (6 papers), Aluminum Alloys Composites Properties (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Materials Chemistry (1.2k citations), Metals and Alloys (67 citations), Nuclear and High Energy Physics (113 citations), Atomic and Molecular Physics, and Optics (79 citations) and Surfaces, Coatings and Films (15 citations). M.A. Pick has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Myron Strongin, P. Andrew, G. J. Dienes, J. W. Davenport, Richard Bausch, J.P. Coad, Alan T. Peacock, G. Federici, A. Peacock and H. Wenzl. Their work appears in journals such as Journal of Nuclear Materials, Fusion Engineering and Design, International Journal of Hydrogen Energy, Physical Review Letters and Fusion Science & Technology.

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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