Michael Moeckel

674 total citations
9 papers, 461 citations indexed

About

Michael Moeckel is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Michael Moeckel has authored 9 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Atomic and Molecular Physics, and Optics, 3 papers in Artificial Intelligence and 2 papers in Condensed Matter Physics. Recurrent topics in Michael Moeckel's work include Quantum many-body systems (3 papers), Physics of Superconductivity and Magnetism (2 papers) and Cold Atom Physics and Bose-Einstein Condensates (2 papers). Michael Moeckel is often cited by papers focused on Quantum many-body systems (3 papers), Physics of Superconductivity and Magnetism (2 papers) and Cold Atom Physics and Bose-Einstein Condensates (2 papers). Michael Moeckel collaborates with scholars based in Germany, Switzerland and Brazil. Michael Moeckel's co-authors include Stefan Kehrein, Philipp Werner, Marcus Kollar, Martin Eckstein, Andreas Hackl, F. Alexander Wolf, Florian Marquardt, Eva M. Weig, Donghui Li and Christiane Thielemann and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael Moeckel

8 papers receiving 460 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Moeckel Germany	5	443	202	148	36	10	9	461
Ian Mondragon-Shem United States	7	582 1.3×	195 1.0×	83 0.6×	48 1.3×	16 1.6×	11	603
Amy Cassidy United States	3	270 0.6×	69 0.3×	148 1.0×	30 0.8×	19 1.9×	3	280
D. N. Sheng United States	7	310 0.7×	197 1.0×	76 0.5×	28 0.8×	6 0.6×	8	340
Bram Vanhecke Belgium	10	201 0.5×	134 0.7×	57 0.4×	19 0.5×	7 0.7×	19	243
Kilian Sandholzer Switzerland	8	472 1.1×	149 0.7×	62 0.4×	74 2.1×	8 0.8×	9	493
Frederik Görg Switzerland	8	519 1.2×	169 0.8×	51 0.3×	78 2.2×	5 0.5×	9	538
M. V. Medvedyeva Netherlands	10	462 1.0×	153 0.8×	99 0.7×	75 2.1×	14 1.4×	13	481
Magnus O. Borgh United Kingdom	14	406 0.9×	146 0.7×	43 0.3×	43 1.2×	2 0.2×	22	422
Sooshin Kim United States	5	285 0.6×	71 0.4×	95 0.6×	70 1.9×	7 0.7×	6	308
A. Sterdyniak France	14	621 1.4×	266 1.3×	29 0.2×	83 2.3×	11 1.1×	14	635

Countries citing papers authored by Michael Moeckel

Since Specialization

Citations

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

Fields of papers citing papers by Michael Moeckel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Moeckel

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

All Works

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9 of 9 papers shown

Moeckel, Michael, et al.. (2025). Quantitative Assessment of Data Volume Requirements for Reliable Machine Learning Analysis. IEEE Access. 13. 101545–101557.

Li, Donghui, et al.. (2024). AutoML based workflow for design of experiments (DOE) selection and benchmarking data acquisition strategies with simulation models. Scientific Reports. 14(1). 32170–32170. 5 indexed citations

Rodrigues, Francisco A., et al.. (2024). Multiclass classification of Autism Spectrum Disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis. PLoS ONE. 19(10). e0305630–e0305630. 1 indexed citations

Moeckel, Michael, et al.. (2022). Modelling dynamic 3D heat transfer in laser material processing based on physics informed neural networks. SHILAP Revista de lepidopterología. 266. 2010–2010. 3 indexed citations

Moeckel, Michael, et al.. (2022). Benchmarking a Multi-Layer Approach and Neural Network Architectures for Defect Detection in Pbf-Lb/M. SSRN Electronic Journal. 4 indexed citations

Moeckel, Michael, et al.. (2014). Synchronizing a single-electron shuttle to an external drive. New Journal of Physics. 16(4). 43009–43009. 6 indexed citations

Moeckel, Michael & Stefan Kehrein. (2010). Crossover from adiabatic to sudden interaction quenches in the Hubbard model: prethermalization and non-equilibrium dynamics. New Journal of Physics. 12(5). 55016–55016. 73 indexed citations

Eckstein, Martin, Andreas Hackl, Stefan Kehrein, et al.. (2009). New theoretical approaches for correlated systems in nonequilibrium. The European Physical Journal Special Topics. 180(1). 217–235. 45 indexed citations

Moeckel, Michael & Stefan Kehrein. (2008). Interaction Quench in the Hubbard Model. Physical Review Letters. 100(17). 175702–175702. 324 indexed citations

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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