F. Donado

43 papers receiving 380 citations

Peers

F. Donado
Comparison fields: 5 of 59
  • Condensed Matter Physics 113
  • Statistical and Nonlinear Physics 73
  • Civil and Structural Engineering 101
  • Computational Mechanics 87
  • Materials Chemistry 163
Replace V. V. Rusakov with:
V. V. Rusakov Russia
Shihab Elborai United States
B. Huke Germany
Ekaterina A. Elfimova Russia
Adam B. Hopkins United States
M. Mohebi Mexico
Gregg Lois United States
G. A. Flores United States
Wei-Rong Zhong China
Canglong Wang China
F. Donado relative to V. V. Rusakov Russia V. V. Rusakov's profile →
Citations per field
00.5×4.9×
V. V. Rusakov · 1×
Citations per year

Countries citing papers authored by F. Donado

Since Specialization
Citations

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

Fields of papers citing papers by F. Donado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside F. Donado, 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 F. Donado Line = papers co-authored together F. Donado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202410
4 20232
5 20230
6 20234
7 20234
8 20237
9 20217
10 20209
11 202011
12 201740
13 201623
14
Phenomenological model for yield stress based on the distribution of chain lengths in a dilute magnetorheological fluid under an oscillatory magnetic field
20132
15 201318
16
Structure and physical properties of magneto-rheological slurriesunder perturbation
20121
17
Fluido magneto-reológico bajo perturbaciones magnéticas
20101
18 200916
19
Estudio experimental de la viscosidad de un fluido magneto-reológico a base de magnetita mineral
20074
20 200326

About F. Donado

F. Donado is a scholar working on Condensed Matter Physics, Fluid Flow and Transfer Processes, Computational Mechanics, Statistical and Nonlinear Physics and General Dentistry, having authored 46 papers that have together received 389 indexed citations. Recurring topics across this work include Material Dynamics and Properties (20 papers), Characterization and Applications of Magnetic Nanoparticles (15 papers), Theoretical and Computational Physics (13 papers), Vibration Control and Rheological Fluids (11 papers), Granular flow and fluidized beds (10 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Pickering emulsions and particle stabilization (7 papers) and Complex Systems and Time Series Analysis (5 papers). The work is most often cited by research in Condensed Matter Physics (113 citations), Statistical and Nonlinear Physics (73 citations), Civil and Structural Engineering (101 citations), Computational Mechanics (87 citations) and Materials Chemistry (163 citations). F. Donado has collaborated with scholars based in Mexico, United States and Netherlands. Frequent co-authors include M.E. Mendoza, José Luis Arauz-Lara, E. Rubio, J. Garcı́a-Serrano, Magdaleno Medina-Noyola, José Luis Martínez-Carrillo, Eric R. Weeks, A.M. Herrera, R. Silva‐González and E. López‐Cruz. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Scientific Reports, Physical review. E, Journal of Magnetism and Magnetic Materials and Journal of Physics and Chemistry of Solids.

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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