Andi Barbour

1.0k total citations
43 papers, 648 citations indexed

About

Andi Barbour is a scholar working on Condensed Matter Physics, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Andi Barbour has authored 43 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Condensed Matter Physics, 15 papers in Materials Chemistry and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Andi Barbour's work include Advanced Condensed Matter Physics (10 papers), Physics of Superconductivity and Magnetism (9 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). Andi Barbour is often cited by papers focused on Advanced Condensed Matter Physics (10 papers), Physics of Superconductivity and Magnetism (9 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). Andi Barbour collaborates with scholars based in United States, Slovakia and Switzerland. Andi Barbour's co-authors include Hoydoo You, S. B. Wilkins, Vladimír Komanický, C. Mazzoli, J. L. Musfeldt, Yihua Liu, Riccardo Comin, Jiafeng Cao, N. Toyota and H. Shimoda and has published in prestigious journals such as Nature, Physical Review Letters and Advanced Materials.

In The Last Decade

Andi Barbour

40 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andi Barbour United States 14 295 202 189 158 146 43 648
Oscar Grånäs Sweden 12 229 0.8× 267 1.3× 260 1.4× 73 0.5× 191 1.3× 33 596
Nina‐Juliane Steinke United Kingdom 17 286 1.0× 190 0.9× 149 0.8× 201 1.3× 328 2.2× 45 737
Igor Vaskivskyi Slovenia 12 701 2.4× 225 1.1× 355 1.9× 389 2.5× 398 2.7× 21 1.0k
M. Buzzi Germany 19 509 1.7× 278 1.4× 643 3.4× 224 1.4× 580 4.0× 44 1.1k
V. M. Zhilin Russia 14 224 0.8× 93 0.5× 170 0.9× 238 1.5× 257 1.8× 45 605
Giovanni Maria Vanacore Italy 19 316 1.1× 51 0.3× 127 0.7× 325 2.1× 408 2.8× 55 981
Shiheng Liang China 16 465 1.6× 143 0.7× 306 1.6× 455 2.9× 607 4.2× 85 1.0k
Tom T. A. Lummen Netherlands 16 688 2.3× 258 1.3× 600 3.2× 272 1.7× 353 2.4× 24 1.3k
M.C. Sarahan United Kingdom 12 356 1.2× 44 0.2× 66 0.3× 191 1.2× 114 0.8× 24 745
Thomas Blon France 17 454 1.5× 82 0.4× 252 1.3× 439 2.8× 407 2.8× 59 1.1k

Countries citing papers authored by Andi Barbour

Since Specialization
Citations

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

Fields of papers citing papers by Andi Barbour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andi Barbour

This figure shows the co-authorship network connecting the top 25 collaborators of Andi Barbour. A scholar is included among the top collaborators of Andi Barbour 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 Andi Barbour. Andi Barbour 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.
Bütün, Serkan, Andi Barbour, Nasir Basit, et al.. (2025). Fresnel diffraction imaging of surface nanostructure using coherent resonant x-ray scattering. Journal of Applied Physics. 138(1).
2.
Anbalagan, Aswin kumar, Chenyu Zhou, Vesna Stanić, et al.. (2025). Revealing the Origin and Nature of the Buried Metal‐Substrate Interface Layer in Ta/Sapphire Superconducting Films. Advanced Science. 12(17). e2413058–e2413058. 2 indexed citations
3.
4.
Hua, Nelson, Jianheng Li, Andi Barbour, et al.. (2023). Discerning element and site-specific fluctuations of the charge-orbital order in Fe3O4 below the Verwey transition. Physical Review Materials. 7(1).
5.
Klose, Christopher, Felix Büttner, Wen Hu, et al.. (2023). Coherent correlation imaging for resolving fluctuating states of matter. Nature. 614(7947). 256–261. 5 indexed citations
6.
Wiegart, Lutz, et al.. (2022). Machine Learning for analysis of speckle dynamics: quantification and outlier detection. Physical Review Research. 4(3). 5 indexed citations
7.
Bluschke, Martin, Andi Barbour, K. Fürsich, et al.. (2022). Imaging mesoscopic antiferromagnetic spin textures in the dilute limit from single-geometry resonant coherent x-ray diffraction. Science Advances. 8(29). eabn6882–eabn6882. 2 indexed citations
8.
Kim, M. G., Andi Barbour, Wen Hu, et al.. (2022). Real-space observation of fluctuating antiferromagnetic domains. Science Advances. 8(21). eabj9493–eabj9493. 2 indexed citations
9.
Maffettone, Phillip M., et al.. (2022). Machine learning enabling high-throughput and remote operations at large-scale user facilities. Digital Discovery. 1(4). 413–426. 12 indexed citations
10.
Shen, Yao, G. Fabbris, Andreas Weichselbaum, et al.. (2022). Emergence of Spinons in Layered Trimer Iridate Ba4Ir3O10. Physical Review Letters. 129(20). 207201–207201. 8 indexed citations
11.
Yue, Li, Jiarui Li, Wen Hu, et al.. (2020). Distinction between pristine and disorder-perturbed charge density waves in ZrTe3. Nature Communications. 11(1). 98–98. 24 indexed citations
12.
Peng, Y. Y., Ali Husain, Matteo Mitrano, et al.. (2020). Enhanced Electron-Phonon Coupling for Charge-Density-Wave Formation in La1.8−xEu0.2SrxCuO4+δ. Physical Review Letters. 125(9). 97002–97002. 26 indexed citations
13.
Campbell, Stuart I., Daniel Allan, Andi Barbour, et al.. (2020). Outlook for artificial intelligence and machine learning at the NSLS-II. Machine Learning Science and Technology. 2(1). 13001–13001. 15 indexed citations
14.
Kukreja, Roopali, Nelson Hua, Andi Barbour, et al.. (2018). Orbital Domain Dynamics in Magnetite below the Verwey Transition. Physical Review Letters. 121(17). 177601–177601. 1 indexed citations
15.
Zuo, Fan, Priyadarshini Panda, Michele Kotiuga, et al.. (2017). Habituation based synaptic plasticity and organismic learning in a quantum perovskite. Nature. 6 indexed citations
16.
Zuo, Fan, Priyadarshini Panda, Michele Kotiuga, et al.. (2017). Habituation based synaptic plasticity and organismic learning in a quantum perovskite. Nature Communications. 8(1). 240–240. 88 indexed citations
17.
Thampy, Vivek, C. Mazzoli, Andi Barbour, et al.. (2016). Remarkable Stability of Charge Density Wave Order inLa1.875Ba0.125CuO4. Physical Review Letters. 117(16). 167001–167001. 31 indexed citations
18.
Karl, Robert, Andi Barbour, Vladimír Komanický, et al.. (2015). Charge-induced equilibrium dynamics and structure at the Ag(001)–electrolyte interface. Physical Chemistry Chemical Physics. 17(26). 16682–16687. 12 indexed citations
19.
Komanický, Vladimír, Andi Barbour, Milena Zorko, et al.. (2014). Growth of arrays of oriented epitaxial platinum nanoparticles with controlled size and shape by natural colloidal lithography. Nanoscale Research Letters. 9(1). 336–336. 1 indexed citations
20.
You, Hoydoo, Michael S. Pierce, Vladimír Komanický, Andi Barbour, & Chenhui Zhu. (2012). Study of electrode surface dynamics using coherent surface X-ray scattering. Electrochimica Acta. 82. 570–575. 9 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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