M. Net

1.1k citations
56 papers · 909 · h-index 18

Impact in

Papers in

    • Geomagnetism and Paleomagnetism Studies 31
    • Fluid Dynamics and Turbulent Flows 23
    • Advanced Numerical Methods in Computational Mathematics 7
    • Fluid Dynamics and Vibration Analysis 7

M. Net

55 papers receiving 880 citations

Peers

M. Net
Comparison fields: 5 of 54
  • Computational Mechanics 507
  • Astronomy and Astrophysics 207
  • Numerical Analysis 64
  • Statistical and Nonlinear Physics 136
  • Physiology 48
Replace D. Lortz with:
D. Lortz Germany
G. Z. Gershuni Russia
F. H. Busse United States
A. C. Or United States
Geoffrey M. Vasil United States
E. M. Zhukhovitskii Russia
R. C. Di Prima United States
Christiane Normand France
Daniel R. Moore United States
M. R. Foster United States
M. Net relative to D. Lortz Germany D. Lortz's profile →
Citations per field
00.5×11.4×
D. Lortz · 1×
Citations per year

Countries citing papers authored by M. Net

Since Specialization
Citations

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

Fields of papers citing papers by M. Net

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M. Net, 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. Net Line = papers co-authored together M. Net 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 199399
2 200473
3 199471
4 200141
5 200937
6 200832
7 201032
8 201031
9 200829
10 199129
11 199329
12 201625
13 200123
14 201622
15 201321
16 201421
17 199520
18 201518
19 200017
20 199916

About M. Net

M. Net is a scholar working on Molecular Biology, Computational Mechanics, Biomedical Engineering, Astronomy and Astrophysics and Computer Networks and Communications, having authored 56 papers that have together received 909 indexed citations. Recurring topics across this work include Geomagnetism and Paleomagnetism Studies (31 papers), Fluid Dynamics and Turbulent Flows (23 papers), Characterization and Applications of Magnetic Nanoparticles (15 papers), Solar and Space Plasma Dynamics (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Advanced Numerical Methods in Computational Mathematics (7 papers), Fluid Dynamics and Vibration Analysis (7 papers) and Geophysics and Gravity Measurements (7 papers). The work is most often cited by research in Computational Mechanics (507 citations), Astronomy and Astrophysics (207 citations), Numerical Analysis (64 citations), Statistical and Nonlinear Physics (136 citations) and Physiology (48 citations). M. Net has collaborated with scholars based in Spain, United States and France. Frequent co-authors include J. Sánchez, Isabel Mercader, Edgar Knobloch, Ferran Garcia, H. F. Goldstein, Carles Simó, Bosco Garcı́a-Archilla, Oriol Batiste, Arantxa Alonso and J. M. Massaguer. Their work appears in journals such as Physics of Fluids, Journal of Fluid Mechanics, Physical review. E, Journal of Computational Physics and SIAM Journal on Applied Dynamical Systems.

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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