Francesc Font

618 citations
23 papers · 356 indexed · h-index 12
Topics
nanoparticles nucleation surface interactions (8 papers)Advanced Thermodynamics and Statistical Mechanics (4 papers)Material Dynamics and Properties (4 papers)

In The Last Decade

Francesc Font

22 papers receiving 342 citations

Peers

Francesc Font
Comparison fields: 5 of 82
  • Materials Chemistry 124
  • Atmospheric Science 105
  • Mechanical Engineering 88
  • Biomedical Engineering 72
  • Statistical and Nonlinear Physics 46
Replace Armand Sarkissian with:
Armand Sarkissian United States
Markus Seeßelberg Germany
Denis Semwogerere United States
Ali F. Abu‐Bakr Egypt
Gilbert N. Lewis United States
Frank Haußer Germany
Edward R. Smith United Kingdom
M. Singh Canada
Chien C. Chang Taiwan
S. Majaniemi Finland
Francesc Font relative to Armand Sarkissian United States Armand Sarkissian's profile →
Citations per field
00.5×7.8×
Armand Sarkissian · 1×
Citations per year

Countries citing papers authored by Francesc Font

Since Specialization
Citations

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

Fields of papers citing papers by Francesc Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesc Font

This figure shows the co-authorship network connecting the top 25 collaborators of Francesc Font. A scholar is included among the top collaborators of Francesc Font based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesc Font. Francesc Font is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 10
4 3
5 1
6 5
7 6
8 4
9 31
10 14
11 13
12 43
13 9
14 12
15 38
16 11
17 4
18 61
19 16
20 15

About Francesc Font

Francesc Font is a scholar working on Atmospheric Science, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 23 papers that have together received 356 indexed citations. Recurring topics across this work include nanoparticles nucleation surface interactions (8 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers) and Material Dynamics and Properties (4 papers). The work is most often cited by research in Atmospheric Science (105 citations), Modeling and Simulation (25 citations) and Statistical and Nonlinear Physics (46 citations). Francesc Font has collaborated with scholars based in Spain, Ireland and United Kingdom. Frequent co-authors include T.G. Myers, Sarah Mitchell, Sven Flemming, Sergio Alonso, Carsten Beta, Matthew G. Hennessy, Fernando Bresme, Álvaro Corral, J. Camacho and Shahriar Afkhami. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physical Chemistry C and Applied Energy.

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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