Miguel A. L. Marques

24.8k total citations · 11 hit papers
250 papers, 16.5k citations indexed

About

Miguel A. L. Marques is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Miguel A. L. Marques has authored 250 papers receiving a total of 16.5k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Materials Chemistry, 94 papers in Atomic and Molecular Physics, and Optics and 59 papers in Condensed Matter Physics. Recurrent topics in Miguel A. L. Marques's work include Advanced Chemical Physics Studies (65 papers), Machine Learning in Materials Science (53 papers) and High-pressure geophysics and materials (33 papers). Miguel A. L. Marques is often cited by papers focused on Advanced Chemical Physics Studies (65 papers), Machine Learning in Materials Science (53 papers) and High-pressure geophysics and materials (33 papers). Miguel A. L. Marques collaborates with scholars based in Germany, France and Spain. Miguel A. L. Marques's co-authors include Silvana Botti, E. K. U. Gross, Ángel Rubio, Jonathan Schmidt, Micael J. T. Oliveira, Mário R. G. Marques, Alberto Castro, Fernando Nogueira, Nektarios N. Lathiotakis and T. Burnus and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Miguel A. L. Marques

244 papers receiving 16.2k citations

Hit Papers

Recent advances and appli... 2003 2026 2010 2018 2019 2004 2006 2006 2003 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recent advances and applications of machine learning in solid-state materials science
    2019 1.7k citations Jonathan Schmidt, Mário R. G. Marques et al. npj Computational Materials profile →
  2. TIME-DEPENDENT DENSITY FUNCTIONAL THEORY
    2004 1.2k citations Miguel A. L. Marques et al. profile →
  3. Time-Dependent Density Functional Theory
    2006 664 citations Miguel A. L. Marques et al. profile →
  4. octopus:a tool for the application of time‐dependent density functional theory
    2006 641 citations Micael J. T. Oliveira, Miguel A. L. Marques et al. profile →
  5. octopus: a first-principles tool for excited electron–ion dynamics
    2003 600 citations Miguel A. L. Marques Computer Physics Communications profile →
  6. Recent developments in libxc — A comprehensive library of functionals for density functional theory
    2017 531 citations Micael J. T. Oliveira, Miguel A. L. Marques et al. profile →
  7. Fundamentals of Time-Dependent Density Functional Theory
    2012 514 citations Miguel A. L. Marques et al. profile →
  8. Propagators for the time-dependent Kohn–Sham equations
    2004 436 citations Miguel A. L. Marques et al. profile →
  9. Libxc: A library of exchange and correlation functionals for density functional theory
    2012 426 citations Miguel A. L. Marques, Micael J. T. Oliveira et al. Computer Physics Communications profile →
  10. Real-space grids and the Octopus code as tools for the development of new simulation approaches for electronic systems
    2015 365 citations Micael J. T. Oliveira, Miguel A. L. Marques et al. Physical Chemistry Chemical Physics profile →
  11. Prediction of ambient pressure conventional superconductivity above 80 K in hydride compounds
    2024 53 citations Antonio Sanna, Tiago F. T. Cerqueira et al. npj Computational Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miguel A. L. Marques Germany 58 8.6k 6.6k 3.8k 2.1k 1.9k 250 16.5k
Stefan Goedecker Switzerland 53 10.2k 1.2× 7.2k 1.1× 4.3k 1.2× 1.5k 0.7× 1.4k 0.8× 161 18.7k
Gábor I. Csonka Hungary 38 9.5k 1.1× 4.9k 0.7× 4.0k 1.1× 3.5k 1.7× 1.8k 1.0× 116 15.5k
Adrienn Ruzsinszky United States 40 12.6k 1.5× 6.5k 1.0× 5.2k 1.4× 4.4k 2.1× 2.4k 1.3× 114 19.3k
Carlos Fiolhais Portugal 22 12.7k 1.5× 6.7k 1.0× 4.9k 1.3× 2.8k 1.4× 1.9k 1.0× 120 20.9k
Oleg A. Vydrov United States 24 14.1k 1.6× 6.2k 0.9× 6.6k 1.8× 4.8k 2.3× 2.2k 1.2× 26 21.6k
T. A. Arias United States 32 7.4k 0.9× 4.8k 0.7× 4.3k 1.1× 1.9k 0.9× 1.1k 0.6× 96 14.6k
Jianwei Sun United States 45 7.5k 0.9× 3.8k 0.6× 3.6k 1.0× 2.2k 1.1× 1.3k 0.7× 142 12.2k
James R. Chelikowsky United States 72 11.1k 1.3× 10.0k 1.5× 7.5k 2.0× 1.9k 0.9× 1.7k 0.9× 388 19.6k
M. P. Teter United States 13 8.5k 1.0× 4.8k 0.7× 3.8k 1.0× 2.1k 1.0× 1.2k 0.6× 26 14.8k
J. C. Slater United States 35 5.7k 0.7× 8.6k 1.3× 3.0k 0.8× 2.5k 1.2× 2.3k 1.2× 128 15.5k

Countries citing papers authored by Miguel A. L. Marques

Since Specialization
Citations

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

Fields of papers citing papers by Miguel A. L. Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. L. Marques. 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 Miguel A. L. Marques. The network helps show where Miguel A. L. Marques may publish in the future.

Co-authorship network of co-authors of Miguel A. L. Marques

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. L. Marques. A scholar is included among the top collaborators of Miguel A. L. Marques 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 Miguel A. L. Marques. Miguel A. L. Marques 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.
Fang, Yue‐Wen, Tiago F. T. Cerqueira, Antonio Sanna, et al.. (2025). Ambient pressure high temperature superconductivity in RbPH3 facilitated by ionic anharmonicity. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 8. 100043–100043.
2.
Wang, Haiyuan, et al.. (2025). Accelerating point defect photo-emission calculations with machine learning interatomic potentials. npj Computational Materials. 11(1).
3.
Schmidt, Jonathan, Tiago F. T. Cerqueira, A. Romero, et al.. (2024). Improving machine-learning models in materials science through large datasets. Materials Today Physics. 48. 101560–101560. 49 indexed citations
4.
Cerqueira, Tiago F. T., Yue‐Wen Fang, Ion Errea, Antonio Sanna, & Miguel A. L. Marques. (2024). Searching Materials Space for Hydride Superconductors at Ambient Pressure. Advanced Functional Materials. 34(40). 36 indexed citations
5.
Wang, Hai‐Chen, et al.. (2024). Ruddlesden–Popper Oxyfluorides La2Ni1–xCuxO3F2 (0 ≤ x ≤ 1): Impact of the Ni/Cu Ratio on the Structure. Inorganic Chemistry. 63(13). 6075–6081. 4 indexed citations
6.
Wang, Hai‐Chen, Jonathan Schmidt, Miguel A. L. Marques, Ludger Wirtz, & A. Romero. (2023). Symmetry-based computational search for novel binary and ternary 2D materials. 2D Materials. 10(3). 35007–35007. 14 indexed citations
7.
Marques, Miguel A. L., et al.. (2023). Homogeneous electron liquid in arbitrary dimensions beyond the random phase approximation. New Journal of Physics. 25(8). 83040–83040.
8.
Schmidt, Jonathan, et al.. (2021). Machine learning the derivative discontinuity of density-functional theory. Machine Learning Science and Technology. 3(1). 15011–15011. 22 indexed citations
9.
Shi, Jingming, Emiliano Fonda, Silvana Botti, et al.. (2021). Halogen molecular modifications at high pressure: the case of iodine. Physical Chemistry Chemical Physics. 23(5). 3321–3326. 7 indexed citations
10.
Pistor, Paul, Michaela Meyns, Maxim Guc, et al.. (2020). Advanced Raman spectroscopy of Cs2AgBiBr6 double perovskites and identification of Cs3Bi2Br9 secondary phases. Scripta Materialia. 184. 24–29. 67 indexed citations
11.
Benavides-Riveros, Carlos L., et al.. (2020). Reduced Density Matrix Functional Theory for Bosons. Physical Review Letters. 124(18). 180603–180603. 20 indexed citations
12.
Benavides-Riveros, Carlos L., et al.. (2020). Homogeneous electron gas in arbitrary dimensions. Physical review. B.. 102(3). 1 indexed citations
13.
Marques, Mário R. G., Mário R. G. Marques, Claudia Rödl, et al.. (2019). Stable Ordered Phases of Cuprous Iodide with Complexes of Copper Vacancies. Chemistry of Materials. 31(19). 7877–7882. 19 indexed citations
14.
Wang, Hai‐Chen, Paul Pistor, Miguel A. L. Marques, & Silvana Botti. (2019). Double perovskites as p-type conducting transparent semiconductors: a high-throughput search. Journal of Materials Chemistry A. 7(24). 14705–14711. 52 indexed citations
15.
Botti, Silvana, et al.. (2019). Computational acceleration of prospective dopant discovery in cuprous iodide. Physical Chemistry Chemical Physics. 21(35). 18839–18849. 52 indexed citations
16.
Schmidt, Jonathan, Carlos L. Benavides-Riveros, & Miguel A. L. Marques. (2019). Machine Learning the Physical Nonlocal Exchange–Correlation Functional of Density-Functional Theory. The Journal of Physical Chemistry Letters. 10(20). 6425–6431. 73 indexed citations
17.
Körbel, Sabine, Miguel A. L. Marques, & Silvana Botti. (2018). Stable hybrid organic–inorganic halide perovskites for photovoltaics from ab initio high-throughput calculations. Journal of Materials Chemistry A. 6(15). 6463–6475. 40 indexed citations
18.
Körbel, Sabine, et al.. (2016). Research Update: Stable single-phase Zn-rich Cu2ZnSnSe4 through In doping. APL Materials. 4(7). 11 indexed citations
19.
Marques, Miguel A. L., Micael J. T. Oliveira, & T. Burnus. (2012). Libxc: A library of exchange and correlation functionals for density functional theory. Computer Physics Communications. 183(10). 2272–2281. 426 indexed citations breakdown →
20.
Marques, Miguel A. L., Graeme J. Ackland, L. F. Lundegaard, et al.. (2009). Potassium under Pressure: A Pseudobinary Ionic Compound. Physical Review Letters. 103(11). 115501–115501. 90 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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