U. Geigenmüller

22 total papers · 574 total citations
19 papers, 348 citations indexed

About

U. Geigenmüller is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electrical and Electronic Engineering. According to data from OpenAlex, U. Geigenmüller has authored 19 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 6 papers in Condensed Matter Physics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in U. Geigenmüller's work include Quantum and electron transport phenomena (8 papers), Physics of Superconductivity and Magnetism (4 papers) and Cold Atom Physics and Bose-Einstein Condensates (3 papers). U. Geigenmüller is often cited by papers focused on Quantum and electron transport phenomena (8 papers), Physics of Superconductivity and Magnetism (4 papers) and Cold Atom Physics and Bose-Einstein Condensates (3 papers). U. Geigenmüller collaborates with scholars based in Netherlands, Germany and United States. U. Geigenmüller's co-authors include Gerd Schön, B. U. Felderhof, U. M. Titulaer, P. Mazur, C. J. Lobb, M. Matters, W. J. Elion, J. E. Mooij, Yuli V. Nazarov and Alec Maassen van den Brink and has published in prestigious journals such as Nature, Physical review. B, Condensed matter and Journal of Applied Physics.

In The Last Decade

U. Geigenmüller

19 papers receiving 332 citations

Author Peers

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

Author						Papers	Cites
U. Geigenmüller	232	118	77	75	54	19	348
P. V. Elyutin	216 0.9×	35 0.3×	108 1.4×	54 0.7×	51 0.9×	41	316
T. Lukes	229 1.0×	72 0.6×	52 0.7×	78 1.0×	99 1.8×	41	377
Th. Koslowski	138 0.6×	89 0.8×	65 0.8×	29 0.4×	86 1.6×	20	385
M. Pino	289 1.2×	97 0.8×	121 1.6×	31 0.4×	37 0.7×	21	338
Nicolas Bock	182 0.8×	55 0.5×	39 0.5×	23 0.3×	95 1.8×	22	312
S. J. Silverman	201 0.9×	34 0.3×	65 0.8×	116 1.5×	124 2.3×	19	343
Tamás Geszti	125 0.5×	58 0.5×	48 0.6×	18 0.2×	105 1.9×	34	335
M. J. Renne	282 1.2×	113 1.0×	124 1.6×	32 0.4×	44 0.8×	11	384
A. L. Kuzemsky	190 0.8×	189 1.6×	128 1.7×	18 0.2×	33 0.6×	42	367
Mizuho K. Schwalm	123 0.5×	226 1.9×	87 1.1×	38 0.5×	80 1.5×	23	388

Countries citing papers authored by U. Geigenmüller

Since Specialization

Citations

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

Fields of papers citing papers by U. Geigenmüller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Geigenmüller

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