H. Schmitz

8 total papers · 1.2k total citations
6 papers, 900 citations indexed

About

H. Schmitz is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, H. Schmitz has authored 6 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atomic and Molecular Physics, and Optics, 4 papers in Artificial Intelligence and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in H. Schmitz's work include Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (4 papers) and Quantum Mechanics and Applications (3 papers). H. Schmitz is often cited by papers focused on Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (4 papers) and Quantum Mechanics and Applications (3 papers). H. Schmitz collaborates with scholars based in Germany. H. Schmitz's co-authors include Tobias Schaetz, Axel Friedenauer, Diego Porras, Martin Enderlein, R. Matjeschk, Thomas M. Huber, Ch. Schneider, L. Petersen, T. Schätz and Michael Uhlmann and has published in prestigious journals such as Physical Review Letters, Nature Physics and Applied Physics B.

In The Last Decade

H. Schmitz

6 papers receiving 872 citations

Hit Papers

Simulating a quantum magn... 2008 2026 2014 2020 2008 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
H. Schmitz 711 640 95 80 77 6 900
Andrew Eddins 634 0.9× 774 1.2× 97 1.0× 33 0.4× 58 0.8× 12 942
Christian Kokail 694 1.0× 672 1.1× 36 0.4× 60 0.8× 85 1.1× 14 956
Alexandre Krajenbrink 548 0.8× 335 0.5× 26 0.3× 156 1.9× 114 1.5× 15 828
Keqiang Huang 713 1.0× 628 1.0× 35 0.4× 70 0.9× 63 0.8× 13 832
D. Wecker 440 0.6× 795 1.2× 165 1.7× 75 0.9× 48 0.6× 7 934
Michael J. Kastoryano 808 1.1× 756 1.2× 70 0.7× 46 0.6× 211 2.7× 24 1.1k
Da Xu 873 1.2× 654 1.0× 33 0.3× 82 1.0× 92 1.2× 22 1.0k
M. Van den Nest 787 1.1× 901 1.4× 71 0.7× 31 0.4× 42 0.5× 18 1.0k
Michael Lubasch 593 0.8× 530 0.8× 66 0.7× 136 1.7× 149 1.9× 24 875
Vinay Ramasesh 841 1.2× 722 1.1× 57 0.6× 107 1.3× 79 1.0× 12 1.1k

Countries citing papers authored by H. Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by H. Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Schmitz

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