Maximilian Prüfer

25 total papers · 478 total citations
11 papers, 273 citations indexed

About

Maximilian Prüfer is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Maximilian Prüfer has authored 11 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 6 papers in Artificial Intelligence and 1 paper in Condensed Matter Physics. Recurrent topics in Maximilian Prüfer's work include Cold Atom Physics and Bose-Einstein Condensates (9 papers), Quantum Information and Cryptography (6 papers) and Quantum many-body systems (5 papers). Maximilian Prüfer is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (9 papers), Quantum Information and Cryptography (6 papers) and Quantum many-body systems (5 papers). Maximilian Prüfer collaborates with scholars based in Germany, Austria and United States. Maximilian Prüfer's co-authors include Markus K. Oberthaler, Helmut Strobel, Philipp Kunkel, Thomas Gasenzer, Martin Gärttner, Daniel Linnemann, P. G. Kevrekidis, Alexis Bonnin, Marco Di Liberto and Luca Barbiero and has published in prestigious journals such as Science, Physical Review Letters and Nature Physics.

In The Last Decade

Maximilian Prüfer

11 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Maximilian Prüfer 259 127 51 26 8 11 273
Markus Hauru 218 0.8× 108 0.9× 50 1.0× 76 2.9× 5 0.6× 13 279
Christopher Grossert 295 1.1× 74 0.6× 79 1.5× 24 0.9× 7 0.9× 8 326
Hiroyasu Koizumi 231 0.9× 56 0.4× 56 1.1× 79 3.0× 8 1.0× 12 276
Quentin Bouton 280 1.1× 102 0.8× 93 1.8× 19 0.7× 6 0.8× 19 313
Jay Lawrence 227 0.9× 234 1.8× 32 0.6× 12 0.5× 6 0.8× 12 306
Yimin Ge 215 0.8× 212 1.7× 45 0.9× 21 0.8× 7 0.9× 11 299
Gabriel Price 229 0.9× 98 0.8× 55 1.1× 8 0.3× 15 1.9× 8 252
Marie Bonneau 298 1.2× 88 0.7× 51 1.0× 17 0.7× 5 0.6× 8 307
Ceren B. Dağ 258 1.0× 90 0.7× 126 2.5× 29 1.1× 3 0.4× 22 285
Andrew Manning 252 1.0× 116 0.9× 17 0.3× 16 0.6× 7 0.9× 14 312

Countries citing papers authored by Maximilian Prüfer

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Prüfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Prüfer

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