F. Lado

3.3k citations
84 papers · 2.8k indexed · h-index 29

F. Lado

84 papers receiving 2.7k citations

Peers

F. Lado
Comparison fields: 5 of 77
  • Fluid Flow and Transfer Processes 607
  • Condensed Matter Physics 447
  • Materials Chemistry 1.5k
  • Statistical and Nonlinear Physics 395
  • Biomedical Engineering 1.4k
Replace E.R. Smith with:
E.R. Smith Australia
Robert W. Gammon United States
John C. Wheeler United States
K. Singer United Kingdom
Jiřı́ Kolafa Czechia
E. M. Waisman United States
Jean-Jacques Weis France
András Baranyai Hungary
C. Hoheisel Germany
Burkhard Dünweg Germany
F. Lado relative to E.R. Smith Australia E.R. Smith's profile →
Citations per field
00.5×1.6×
E.R. Smith · 1×
Citations per year

Countries citing papers authored by F. Lado

Since Specialization
Citations

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

Fields of papers citing papers by F. Lado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20068
2 20057
3 200034
4 199922
5 199810
6 199723
7 199716
8 198861
9 198713
10 19864
11 19841
12 1983278
13 19828
14 198116
15 197412
16 197315
17 197330
18 197016
19 19703
20 196522

About F. Lado

F. Lado is a scholar working on Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics, Condensed Matter Physics, Biomedical Engineering and Materials Chemistry, having authored 84 papers that have together received 2.8k indexed citations. Recurring topics across this work include Material Dynamics and Properties (44 papers), Phase Equilibria and Thermodynamics (41 papers), Thermodynamic properties of mixtures (18 papers), Advanced Thermodynamics and Statistical Mechanics (17 papers), Theoretical and Computational Physics (12 papers), Composite Material Mechanics (10 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Quantum, superfluid, helium dynamics (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (607 citations), Condensed Matter Physics (447 citations), Materials Chemistry (1.5k citations), Statistical and Nonlinear Physics (395 citations) and Biomedical Engineering (1.4k citations). F. Lado has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Salvatore Torquato, Stephen M. Foiles, N. W. Ashcroft, E. Lomba, M. Lombardero, S. Torquato, G. Pastore, Achille Giacometti, C. Martı́n and J. D. Memory. Their work appears in journals such as The Journal of Chemical Physics, Molecular Physics, Physical review. B, Condensed matter, Journal of Applied Mechanics and Journal of Applied Physics.

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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