M. Graf

1.9k citations
56 papers · 887 · h-index 16

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Magnetic confinement fusion research
    • Laser-Plasma Interactions and Diagnostics

Papers in

M. Graf

52 papers receiving 851 citations

Peers

M. Graf
Comparison fields: 5 of 97
  • Aging 74
  • Nuclear and High Energy Physics 271
  • Aquatic Science 83
  • Nature and Landscape Conservation 128
  • Reproductive Medicine 71
Replace Timothy S. Moerland with:
Timothy S. Moerland United States
Pierre‐Marie Robitaille United States
Y. Asaoka Japan
Kathleen Brennan United States
Ronald J. White United States
Helen Nichol Canada
Xavier Tordoir Belgium
Yuji Oishi Japan
David A. Porter United Kingdom
J. S. Frank United States
M. Graf relative to Timothy S. Moerland United States Timothy S. Moerland's profile →
Citations per field
00.5×6.3×
Timothy S. Moerland · 1×
Citations per year

Countries citing papers authored by M. Graf

Since Specialization
Citations

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

Fields of papers citing papers by M. Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 2009109
3 200995
4 199560
5 199649
6 199531
7 199531
8 199730
9 199530
10 201028
11 201228
12 199525
13 199521
14 199321
15 199619
16 199619
17 200114
18 199514
19 199312
20 199712

About M. Graf

M. Graf is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 56 papers that have together received 887 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (12 papers), Fusion materials and technologies (8 papers), Plasma Diagnostics and Applications (8 papers), Atomic and Molecular Physics (7 papers), Reproductive Biology and Fertility (7 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers), Laser-induced spectroscopy and plasma (5 papers) and Particle accelerators and beam dynamics (5 papers). The work is most often cited by research in Aging (74 citations), Nuclear and High Energy Physics (271 citations), Aquatic Science (83 citations), Nature and Landscape Conservation (128 citations) and Reproductive Medicine (71 citations). M. Graf has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Alessandro Cellerino, Nils Hartmann, Christoph Englert, Eva Terzibasi Tozzini, J. E. Rice, J. L. Terry, Kathrin Reichwald, F. Bombarda, E. S. Marmar and Matthias Platzer. Their work appears in journals such as Journal of Nuclear Materials, Review of Scientific Instruments, Physical Review A, Human Reproduction and Fertility and Sterility.

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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