E. Guàrdia

4.4k total citations
105 papers, 3.9k citations indexed

About

E. Guàrdia is a scholar working on Atomic and Molecular Physics, and Optics, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, E. Guàrdia has authored 105 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Atomic and Molecular Physics, and Optics, 38 papers in Fluid Flow and Transfer Processes and 26 papers in Biomedical Engineering. Recurrent topics in E. Guàrdia's work include Spectroscopy and Quantum Chemical Studies (83 papers), Thermodynamic properties of mixtures (38 papers) and Phase Equilibria and Thermodynamics (16 papers). E. Guàrdia is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (83 papers), Thermodynamic properties of mixtures (38 papers) and Phase Equilibria and Thermodynamics (16 papers). E. Guàrdia collaborates with scholars based in Spain, Italy and Greece. E. Guàrdia's co-authors include J. A. Padró, Jordi Martı́, Leonor Saiz, Rossend Rey, Ioannis Skarmoutsos, Daniel Laría, Marco Masia, Jonàs Sala, M. C. Gordillo and G. Nagy and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

E. Guàrdia

103 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Guàrdia Spain 37 2.4k 1.1k 925 842 674 105 3.9k
Fabio Bruni Italy 34 2.5k 1.1× 1.1k 1.0× 1.3k 1.4× 450 0.5× 509 0.8× 106 4.6k
J. A. Padró Spain 30 1.7k 0.7× 644 0.6× 864 0.9× 791 0.9× 425 0.6× 81 2.8k
Alfons Geiger Germany 39 2.1k 0.9× 1.3k 1.1× 1.8k 1.9× 729 0.9× 395 0.6× 95 4.2k
Imre Bakó Hungary 32 1.6k 0.7× 516 0.5× 1.1k 1.2× 593 0.7× 490 0.7× 115 3.4k
Vojko Vlachy Slovenia 34 1.7k 0.7× 1.4k 1.2× 1.5k 1.6× 885 1.1× 1.8k 2.7× 153 4.6k
G. W. Neilson United Kingdom 38 3.1k 1.3× 662 0.6× 1.1k 1.2× 926 1.1× 714 1.1× 109 4.9k
K. Heinzinger Germany 39 3.0k 1.3× 573 0.5× 871 0.9× 767 0.9× 846 1.3× 127 4.0k
I‐Feng W. Kuo United States 32 2.4k 1.0× 563 0.5× 915 1.0× 232 0.3× 636 0.9× 67 4.0k
P. Migliardo Italy 35 1.5k 0.6× 545 0.5× 1.6k 1.7× 679 0.8× 338 0.5× 200 3.8k
Ilan Benjamin United States 39 3.6k 1.5× 582 0.5× 567 0.6× 310 0.4× 1.5k 2.2× 127 4.8k

Countries citing papers authored by E. Guàrdia

Since Specialization
Citations

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

Fields of papers citing papers by E. Guàrdia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Guàrdia

This figure shows the co-authorship network connecting the top 25 collaborators of E. Guàrdia. A scholar is included among the top collaborators of E. Guàrdia 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 E. Guàrdia. E. Guàrdia 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
1.
Emperador, Agustí & E. Guàrdia. (2025). Accurate coarse grained models for protein association and recognition. Advances in protein chemistry and structural biology. 145. 1–21. 1 indexed citations
2.
Skarmoutsos, Ioannis & E. Guàrdia. (2025). Molecular Dynamics of High‐Pressure Liquid Water: Going from Ambient to Near‐Critical Temperatures. Chemistry - A European Journal. 31(28). e202500423–e202500423.
3.
Canales, Manel, Ioannis Skarmoutsos, & E. Guàrdia. (2024). A comprehensive molecular dynamics simulation of plastic and liquid succinonitrile: Structural, dynamic, and dielectric properties. The Journal of Chemical Physics. 161(17).
4.
Canales, Manel & E. Guàrdia. (2023). Computer simulation study of ion-water and water-water hydrogen bonds in methanesulfonic acid solutions at room temperature. Journal of Molecular Liquids. 377. 121518–121518. 2 indexed citations
5.
Emperador, Agustí, Ramón Crehuet, & E. Guàrdia. (2021). Effect of the Water Model in Simulations of Protein–Protein Recognition and Association. Polymers. 13(2). 176–176. 17 indexed citations
6.
Guàrdia, E., et al.. (2021). Structure and dynamics of water plastic crystals from computer simulations. The Journal of Chemical Physics. 154(10). 104501–104501. 10 indexed citations
7.
Cerveny, Silvina, Roberto Macovez, E. Guàrdia, et al.. (2020). On the microscopic origin of the cryoprotective effect in lysine solutions. Physical Chemistry Chemical Physics. 22(13). 6919–6927. 10 indexed citations
8.
Skarmoutsos, Ioannis & E. Guàrdia. (2020). Solvation structure and dynamics of the dimethylammonium cation diluted in liquid water: A molecular dynamics approach. The Journal of Chemical Physics. 152(23). 234501–234501. 2 indexed citations
9.
Büsch, Sebastian, et al.. (2016). The structure of liquid water beyond the first hydration shell. Physical Chemistry Chemical Physics. 18(28). 19420–19425. 15 indexed citations
10.
Calero, Carles, Jordi Martı́, & E. Guàrdia. (2015). 1H Nuclear Spin Relaxation of Liquid Water from Molecular Dynamics Simulations. The Journal of Physical Chemistry B. 119(5). 1966–1973. 36 indexed citations
11.
Pardo, Luis Carlos, et al.. (2014). A continuous mixture of two different dimers in liquid water. Physical Chemistry Chemical Physics. 16(44). 24479–24483. 10 indexed citations
12.
13.
Martı́, Jordi, Jonàs Sala, E. Guàrdia, & M. C. Gordillo. (2009). Molecular dynamics simulations of supercritical water confined within a carbon-slit pore. Physical Review E. 79(3). 31606–31606. 21 indexed citations
14.
Saiz, Leonor, et al.. (2000). Dielectric properties of liquid ethanol. A computer simulation study. The Journal of Chemical Physics. 113(7). 2814–2822. 77 indexed citations
15.
Guàrdia, E. & J. A. Padró. (1996). On the Structure and Dynamic Properties of Aqueous Solutions: Molecular Dynamics Simulation of Cl−and Cl2-in Water. Molecular Simulation. 17(2). 83–94. 15 indexed citations
16.
Guàrdia, E. & J. A. Padró. (1995). Response to ‘‘Comment on ‘Mean force potential for the calcium–chloride ion pair in water’ ’’ [J. Chem. Phys. 102, 3483 (1995)]. The Journal of Chemical Physics. 102(8). 3485–3485. 5 indexed citations
17.
Martı́, Jordi, J. A. Padró, & E. Guàrdia. (1995). A molecular dynamics study of heavy water steam. Molecular Physics. 86(2). 263–271. 9 indexed citations
18.
Martı́, Jordi, E. Guàrdia, & J. A. Padró. (1994). Dielectric properties and infrared spectra of liquid water: Influence of the dynamic cross correlations. The Journal of Chemical Physics. 101(12). 10883–10891. 94 indexed citations
19.
Martı́, Jordi, J. A. Padró, & E. Guàrdia. (1993). Computer Simulation of Molecular Motions in Liquids: Infrared Spectra of Water and Heavy Water. Molecular Simulation. 11(6). 321–336. 33 indexed citations
20.
Casulleras, J. & E. Guàrdia. (1992). Computer Simulation of Liquid Methanol II. System Size Effects. Molecular Simulation. 8(3-5). 273–283. 19 indexed citations

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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