M.C. Vella

43 papers receiving 488 citations

Peers

M.C. Vella
Comparison fields: 5 of 66
  • Aging 39
  • Nuclear and High Energy Physics 144
  • Aerospace Engineering 176
  • Endocrine and Autonomic Systems 30
  • Radiation 36
Replace Wade H. Williams with:
Wade H. Williams United States
Kunihiro Sato Japan
Samantha M. Lewis United States
Jan Raagaard Petersen Denmark
H. Burkhardt Switzerland
Abhijit Biswas United States
M. Schwarz Germany
Christian Schmidt Germany
Leopold Summerer Netherlands
W. Dominik Poland
M.C. Vella relative to Wade H. Williams United States Wade H. Williams's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.C. Vella

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Vella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201478
2 200934
3 198834
4 197734
5 199533
6 198625
7 199824
8 198520
9 201420
10 201418
11 199618
12 198614
13 199513
14 198113
15 198212
16 198912
17 201711
18 199510
19 19989
20 19988

About M.C. Vella

M.C. Vella is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Nuclear and High Energy Physics, Mechanics of Materials and Control and Systems Engineering, having authored 51 papers that have together received 514 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (27 papers), Plasma Diagnostics and Applications (12 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers), Magnetic confinement fusion research (10 papers), Semiconductor materials and devices (8 papers), Pulsed Power Technology Applications (6 papers), Ion-surface interactions and analysis (6 papers) and Laser-Plasma Interactions and Diagnostics (5 papers). The work is most often cited by research in Aging (39 citations), Nuclear and High Energy Physics (144 citations), Aerospace Engineering (176 citations), Endocrine and Autonomic Systems (30 citations) and Radiation (36 citations). M.C. Vella has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include R. E. Aamodt, Robert V. Pyle, Padraig Gleeson, William S. Cooper, Andrey Palyanov, P. Weber, Jim Hokanson, Stephen Larson, Michael Currie and K. W. Ehlers. Their work appears in journals such as Review of Scientific Instruments, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Frontiers in Neuroinformatics and Journal of Vacuum Science & Technology A Vacuum Surfaces and Films.

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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