Maximilian Keck

671 total citations · 1 hit paper
8 papers, 470 citations indexed

About

Maximilian Keck is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Maximilian Keck has authored 8 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 5 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Maximilian Keck's work include Quantum Information and Cryptography (5 papers), Quantum many-body systems (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). Maximilian Keck is often cited by papers focused on Quantum Information and Cryptography (5 papers), Quantum many-body systems (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). Maximilian Keck collaborates with scholars based in Italy and Germany. Maximilian Keck's co-authors include Vittorio Giovannetti, Andrea Mari, Gian Marcello Andolina, Marco Polini, Michele Campisi, Rosario Fazio, Davide Rossini, Simone Montangero, Giuseppe E. Santoro and Vasco Cavina and has published in prestigious journals such as Physical Review Letters, Physical Review A and New Journal of Physics.

In The Last Decade

Maximilian Keck

7 papers receiving 464 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Extractable Work, the Role of Correlations, and Asymptotic Freedom in Quantum Batteries

2019 234 citations Gian Marcello Andolina, Maximilian Keck et al. Physical Review Letters profile →

Peers

Maximilian Keck

AMPO

AI

SNP

EEE

CMP

Quentin Ficheux France

P. M. Harrington United States

Matteo Brunelli United Kingdom

Mahdi Naghiloo United States

Eduardo Mascarenhas Brazil

Michael J. Kewming Australia

Jean-François Schaff Austria

S. Alipour Iran

Ali Asadian Austria

Jiasen Jin China

Quentin Ficheux France

Maximilian Keck

369 ×1.0

AMPO

335 ×1.0

AI

169 ×0.7

SNP

28 ×0.8

EEE

14 ×1.0

CMP

Citations per year, relative to Maximilian Keck Maximilian Keck (= 1×) peers Quentin Ficheux

Countries citing papers authored by Maximilian Keck

Since Specialization

Citations

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

Fields of papers citing papers by Maximilian Keck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Keck

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

All Works

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8 of 8 papers shown

1.

Keck, Maximilian, Jutta Hübner, & Jens Büntzel. (2023). “I do not hear you!”: hearing-impaired cancer patients report their communication experiences. Journal of Cancer Research and Clinical Oncology. 149(9). 6557–6567.

2.

Andolina, Gian Marcello, Maximilian Keck, Andrea Mari, et al.. (2019). Extractable Work, the Role of Correlations, and Asymptotic Freedom in Quantum Batteries. Physical Review Letters. 122(4). 47702–47702. 234 indexed citations breakdown →

3.

Andolina, Gian Marcello, Maximilian Keck, Andrea Mari, Vittorio Giovannetti, & Marco Polini. (2019). Quantum versus classical many-body batteries. Physical review. B.. 99(20). 128 indexed citations

4.

Keck, Maximilian, et al.. (2018). Probabilistic low-rank factorization accelerates tensor network simulations of critical quantum many-body ground states. Physical review. E. 97(1). 13301–13301. 11 indexed citations

5.

Cavina, Vasco, et al.. (2018). Entropy production and asymptotic factorization via thermalization: A collisional model approach. Physical review. A. 98(3). 40 indexed citations

6.

Keck, Maximilian, Davide Rossini, & Rosario Fazio. (2018). Persistent currents by reservoir engineering. Physical review. A. 98(5). 14 indexed citations

7.

Keck, Maximilian, Simone Montangero, Giuseppe E. Santoro, Rosario Fazio, & Davide Rossini. (2017). Dissipation in adiabatic quantum computers: lessons from an exactly solvable model. New Journal of Physics. 19(11). 113029–113029. 41 indexed citations

8.

Keck, Maximilian, Matthias M. Müller, Tommaso Calarco, & Simone Montangero. (2015). Quantum optimal control within the rotating-wave approximation. Physical Review A. 92(3). 2 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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