Fernando D. Vila

5.0k citations
91 papers · 4.1k indexed · 2 hit papers · h-index 30

Impact in

Papers in

Fernando D. Vila

90 papers receiving 4.0k citations

Hit Papers

Parameter-free calculations of X-ray spectra with FEFF9 2010 · 976 citations
9762008202620142020250500750

Peers

Fernando D. Vila
Comparison fields: 5 of 104
  • Radiation 651
  • Surfaces, Coatings and Films 355
  • Materials Chemistry 2.2k
  • Catalysis 318
  • Inorganic Chemistry 531
Replace J. J. Kas with:
J. J. Kas United States
A. Filipponi Italy
Antonio Sgamellotti Italy
Abhay Shukla France
Paul S. Bagus United States
J. Mustre de León United States
Masahiro Ehara Japan
Philippe Wernet Germany
Micah P. Prange United States
Vincenzo Carravetta Italy
Fernando D. Vila relative to J. J. Kas United States J. J. Kas's profile →
Citations per field
00.5×1.5×2.5×
J. J. Kas · 1×
Citations per year

Countries citing papers authored by Fernando D. Vila

Since Specialization
Citations

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

Fields of papers citing papers by Fernando D. Vila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando D. Vila. 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 Fernando D. Vila. The network helps show where Fernando D. Vila may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20237
5 202319
6 202313
7 202312
8 20223
9 20221
10 202216
11 202218
12 202118
13 202147
14 202025
15 202031
16 201957
17 20195
18 2018105
19 20176
20 201248

About Fernando D. Vila

Fernando D. Vila is a scholar working on Radiation, Surfaces, Coatings and Films, Atomic and Molecular Physics, and Optics, Catalysis and Acoustics and Ultrasonics, having authored 91 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (35 papers), X-ray Spectroscopy and Fluorescence Analysis (21 papers), Machine Learning in Materials Science (20 papers), Catalytic Processes in Materials Science (14 papers), Electron and X-Ray Spectroscopy Techniques (14 papers), Spectroscopy and Quantum Chemical Studies (10 papers), X-ray Diffraction in Crystallography (10 papers) and Catalysis and Oxidation Reactions (8 papers). The work is most often cited by research in Radiation (651 citations), Surfaces, Coatings and Films (355 citations), Materials Chemistry (2.2k citations), Catalysis (318 citations) and Inorganic Chemistry (531 citations). Fernando D. Vila has collaborated with scholars based in United States, France and Germany. Frequent co-authors include J. J. Rehr, J. J. Kas, Micah P. Prange, Kevin Jorissen, Y. Takimoto, Kenneth D. Jordan, A. P. Sorini, Simon R. Bare, Eric L. Shirley and C. D. Pemmaraju. Their work appears in journals such as Physical Review B, The Journal of Chemical Physics, The Journal of Physical Chemistry C, The Journal of Physical Chemistry A and Journal of Chemical Theory and Computation.

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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