Julia Westermayr

73 total papers · 849 total citations
18 papers, 366 citations indexed

About

Julia Westermayr is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Julia Westermayr has authored 18 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 8 papers in Atomic and Molecular Physics, and Optics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Julia Westermayr's work include Machine Learning in Materials Science (13 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Computational Drug Discovery Methods (5 papers). Julia Westermayr is often cited by papers focused on Machine Learning in Materials Science (13 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Computational Drug Discovery Methods (5 papers). Julia Westermayr collaborates with scholars based in Germany, Austria and United Kingdom. Julia Westermayr's co-authors include Philipp Marquetand, Michael Gastegger, Reinhard J. Maurer, Leticia González, Chris Oostenbrink, Oscar A. Douglas‐Gallardo, Scott Habershon, Oliver T. Hofmann, Ralf Tonner and Carolin Müller and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry C and Nature Chemistry.

In The Last Decade

Julia Westermayr

16 papers receiving 355 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Julia Westermayr	250	130	107	76	45	18	366
Xingyi Guan	211 0.8×	49 0.4×	119 1.1×	88 1.2×	39 0.9×	12	314
Efthymios I. Ioannidis	283 1.1×	92 0.7×	102 1.0×	75 1.0×	49 1.1×	7	400
Farhad Ramezanghorbani	248 1.0×	54 0.4×	135 1.3×	107 1.4×	60 1.3×	7	332
Fuchun Ge	223 0.9×	79 0.6×	99 0.9×	131 1.7×	21 0.5×	18	372
Zheng Cheng	185 0.7×	42 0.3×	83 0.8×	73 1.0×	59 1.3×	20	347
Luc-Henri Jolly	98 0.4×	134 1.0×	53 0.5×	170 2.2×	37 0.8×	12	355
Ryan Pederson	175 0.7×	109 0.8×	67 0.6×	42 0.6×	25 0.6×	13	293
Steven A. Spronk	143 0.6×	85 0.7×	132 1.2×	178 2.3×	25 0.6×	11	363
Ying Wang	100 0.4×	112 0.9×	33 0.3×	99 1.3×	43 1.0×	39	397
Maria Carolina Muniz	235 0.9×	88 0.7×	83 0.8×	73 1.0×	40 0.9×	7	314

Countries citing papers authored by Julia Westermayr

Since Specialization

Citations

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

Fields of papers citing papers by Julia Westermayr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Westermayr

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Westermayr. A scholar is included among the top collaborators of Julia Westermayr 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 Julia Westermayr. Julia Westermayr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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