Mie Andersen

4.3k total citations
54 papers, 2.3k citations indexed

About

Mie Andersen is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Mie Andersen has authored 54 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Materials Chemistry, 22 papers in Atomic and Molecular Physics, and Optics and 15 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Mie Andersen's work include Graphene research and applications (23 papers), Machine Learning in Materials Science (15 papers) and Catalytic Processes in Materials Science (15 papers). Mie Andersen is often cited by papers focused on Graphene research and applications (23 papers), Machine Learning in Materials Science (15 papers) and Catalytic Processes in Materials Science (15 papers). Mie Andersen collaborates with scholars based in Denmark, Germany and Sweden. Mie Andersen's co-authors include Karsten Reuter, Bjørk Hammer, Liv Hornekær, Albert Bruix, Chiara Panosetti, Johannes T. Margraf, Matthias Scheffler, Sergey V. Levchenko, Jens K. Nørskov and Andrew J. Medford and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and Accounts of Chemical Research.

In The Last Decade

Mie Andersen

51 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mie Andersen Denmark 25 1.7k 675 591 508 357 54 2.3k
Jess Wellendorff United States 9 1.8k 1.0× 988 1.5× 636 1.1× 845 1.7× 537 1.5× 13 2.6k
David D. Landis Denmark 6 1.5k 0.9× 741 1.1× 539 0.9× 542 1.1× 242 0.7× 7 2.0k
Cheng Shang China 30 2.4k 1.4× 717 1.1× 618 1.0× 717 1.4× 278 0.8× 89 3.2k
Nongnuch Artrith United States 25 2.5k 1.5× 418 0.6× 1.0k 1.7× 350 0.7× 414 1.2× 39 3.4k
Vivien Petzold Denmark 6 1.2k 0.7× 717 1.1× 305 0.5× 734 1.4× 284 0.8× 11 1.7k
Daniel Sheppard United States 15 2.0k 1.2× 432 0.6× 1.0k 1.7× 557 1.1× 511 1.4× 25 3.2k
Lars B. Hansen Denmark 9 1.4k 0.8× 454 0.7× 693 1.2× 276 0.5× 661 1.9× 9 2.2k
Eva M. Fernández Spain 20 1.7k 1.0× 503 0.7× 390 0.7× 434 0.9× 800 2.2× 46 2.2k
Keld T. Lundgaard United States 4 955 0.6× 522 0.8× 310 0.5× 510 1.0× 289 0.8× 6 1.4k
Andreas Møgelhøj Denmark 6 901 0.5× 490 0.7× 261 0.4× 485 1.0× 388 1.1× 6 1.5k

Countries citing papers authored by Mie Andersen

Since Specialization
Citations

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

Fields of papers citing papers by Mie Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mie Andersen

This figure shows the co-authorship network connecting the top 25 collaborators of Mie Andersen. A scholar is included among the top collaborators of Mie Andersen 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 Mie Andersen. Mie Andersen 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.
Andersen, Mie, et al.. (2025). Inverse catalysts: tuning the composition and structure of oxide clusters through the metal support. npj Computational Materials. 11(1). 4 indexed citations
2.
Jensen, Sigmund, et al.. (2024). Role of Cu Oxide and Cu Adatoms in the Reactivity of CO2 on Cu(110). Angewandte Chemie. 136(33).
3.
Jensen, Sigmund, et al.. (2024). Role of Cu Oxide and Cu Adatoms in the Reactivity of CO2 on Cu(110). Angewandte Chemie International Edition. 63(33). e202405554–e202405554. 6 indexed citations
4.
Jensen, Stig M. R., et al.. (2023). Atomic-Scale Site Characterization of Cu–Zn Exchange on Cu(111). The Journal of Physical Chemistry C. 127(6). 3268–3275. 4 indexed citations
5.
Andersen, Mie. (2023). Machine learning speeds up search for surface structure. Nature Computational Science. 3(12). 1009–1010. 1 indexed citations
6.
Prats, Hèctor, et al.. (2022). Selectivity Trends and Role of Adsorbate–Adsorbate Interactions in CO Hydrogenation on Rhodium Catalysts. ACS Catalysis. 12(13). 7907–7917. 17 indexed citations
7.
Xu, Wenbin, Giulio D’Acunto, Mattia Scardamaglia, et al.. (2022). Graphene as an Adsorption Template for Studying Double Bond Activation in Catalysis. The Journal of Physical Chemistry C. 126(33). 14116–14124. 1 indexed citations
8.
Xu, Wenbin, Karsten Reuter, & Mie Andersen. (2022). Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation. Nature Computational Science. 2(7). 443–450. 33 indexed citations
9.
Ligterink, N. F. W., et al.. (2022). Predicting binding energies of astrochemically relevant molecules via machine learning. Astronomy and Astrophysics. 666. A45–A45. 19 indexed citations
10.
Gao, Hao, Mie Andersen, Mehdi Saedi, et al.. (2022). Graphene at Liquid Copper Catalysts: Atomic‐Scale Agreement of Experimental and First‐Principles Adsorption Height. Advanced Science. 9(36). e2204684–e2204684. 13 indexed citations
11.
Reuter, Karsten, et al.. (2020). Active Site Representation in First-Principles Microkinetic Models: Data-Enhanced Computational Screening for Improved Methanation Catalysts. ACS Catalysis. 10(22). 13729–13736. 28 indexed citations
12.
Balog, Richard, Andrew Cassidy, Line Kyhl, et al.. (2019). Hydrogen interaction with graphene on Ir(1 1 1): a combined intercalation and functionalization study. Journal of Physics Condensed Matter. 31(8). 85001–85001. 6 indexed citations
13.
Andersen, Mie, Chiara Panosetti, & Karsten Reuter. (2019). A Practical Guide to Surface Kinetic Monte Carlo Simulations. Frontiers in Chemistry. 7. 202–202. 200 indexed citations
14.
Andersen, Mie, et al.. (2019). Ab Initio Thermodynamics of Hydrocarbons Relevant to Graphene Growth at Solid and Liquid Cu Surfaces. The Journal of Physical Chemistry C. 123(36). 22299–22310. 18 indexed citations
15.
Duncan, David A., Line Kyhl, Zeyuan Tang, et al.. (2019). Chemically-resolved determination of hydrogenated graphene–substrate interaction. Physical Chemistry Chemical Physics. 21(25). 13462–13466. 8 indexed citations
16.
Johansson, Niclas, Mie Andersen, Yuji Monya, et al.. (2017). Ambient pressure phase transitions over Ir(1 1 1): at the onset of CO oxidation. Journal of Physics Condensed Matter. 29(44). 444002–444002. 12 indexed citations
17.
Dappe, Yannick J., Mie Andersen, Richard Balog, Liv Hornekær, & Xavier Bouju. (2015). Adsorption and STM imaging of polycyclic aromatic hydrocarbons on graphene. Physical Review B. 91(4). 22 indexed citations
18.
Ulstrup, Søren, Mie Andersen, Marco Bianchi, et al.. (2014). Sequential Oxygen and Alkali Intercalation of Epitaxial Graphene on Ir(111): Enhanced Many-Body Effects and Formation of pn-interfaces. 1 indexed citations
19.
Balog, Richard, Mie Andersen, Bjarke Jørgensen, et al.. (2013). Controlling Hydrogenation of Graphene on Ir(111). ACS Nano. 7(5). 3823–3832. 64 indexed citations
20.
Andersen, Mie, Liv Hornekær, & Bjørk Hammer. (2012). Graphene on metal surfaces and its hydrogen adsorption: A meta-GGA functional study. Physical Review B. 86(8). 55 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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