Gernot Schaller

117 total papers · 3.5k total citations
79 papers, 2.2k citations indexed

About

Gernot Schaller is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Gernot Schaller has authored 79 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Atomic and Molecular Physics, and Optics, 37 papers in Artificial Intelligence and 34 papers in Statistical and Nonlinear Physics. Recurrent topics in Gernot Schaller's work include Quantum Information and Cryptography (34 papers), Advanced Thermodynamics and Statistical Mechanics (31 papers) and Quantum and electron transport phenomena (25 papers). Gernot Schaller is often cited by papers focused on Quantum Information and Cryptography (34 papers), Advanced Thermodynamics and Statistical Mechanics (31 papers) and Quantum and electron transport phenomena (25 papers). Gernot Schaller collaborates with scholars based in Germany, Luxembourg and Spain. Gernot Schaller's co-authors include Tobias Brandes, Ralf Schützhold, Michael Meyer‐Hermann, Philipp Strasberg, Massimiliano Esposito, G. Kießlich, D. Habs, Clive Emary, Neill Lambert and Sarah Mostame and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Physical Review B.

In The Last Decade

Gernot Schaller

78 papers receiving 2.1k citations

Author Peers

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

Author						Papers	Cites
Gernot Schaller	1.5k	1.0k	730	189	172	79	2.2k
Yueheng Lan	427 0.3×	504 0.5×	169 0.2×	38 0.2×	35 0.2×	101	1.6k
Rahul Radhakrishnan	728 0.5×	832 0.8×	168 0.2×	20 0.1×	39 0.2×	72	2.2k
I.G. Kevrekidis	225 0.1×	1.0k 1.0×	119 0.2×	29 0.2×	93 0.5×	62	2.2k
Lamberto Rondoni	516 0.3×	1.5k 1.5×	92 0.1×	94 0.5×	178 1.0×	152	2.1k
Alfio Borzı̀	308 0.2×	352 0.3×	239 0.3×	44 0.2×	171 1.0×	122	2.2k
Mikito Toda	861 0.6×	919 0.9×	143 0.2×	51 0.3×	53 0.3×	49	1.7k
River Beard	806 0.5×	856 0.8×	90 0.1×	48 0.3×	88 0.5×	84	1.8k
Igor Goychuk	927 0.6×	2.0k 2.0×	212 0.3×	14 0.1×	511 3.0×	90	3.2k
Xiaogang Wang	783 0.5×	437 0.4×	468 0.6×	24 0.1×	15 0.1×	138	2.6k
Deb Shankar Ray	992 0.7×	1.5k 1.5×	181 0.2×	53 0.3×	73 0.4×	173	2.3k

Countries citing papers authored by Gernot Schaller

Since Specialization

Citations

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

Fields of papers citing papers by Gernot Schaller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gernot Schaller

This figure shows the co-authorship network connecting the top 25 collaborators of Gernot Schaller. A scholar is included among the top collaborators of Gernot Schaller 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 Gernot Schaller. Gernot Schaller 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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