Manuel Gessner

1.9k total citations
56 papers, 1.2k citations indexed

About

Manuel Gessner is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Biophysics. According to data from OpenAlex, Manuel Gessner has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Atomic and Molecular Physics, and Optics, 48 papers in Artificial Intelligence and 5 papers in Biophysics. Recurrent topics in Manuel Gessner's work include Quantum Information and Cryptography (48 papers), Quantum Mechanics and Applications (31 papers) and Quantum Computing Algorithms and Architecture (17 papers). Manuel Gessner is often cited by papers focused on Quantum Information and Cryptography (48 papers), Quantum Mechanics and Applications (31 papers) and Quantum Computing Algorithms and Architecture (17 papers). Manuel Gessner collaborates with scholars based in France, Germany and Italy. Manuel Gessner's co-authors include Augusto Smerzi, Luca Pezzè, Heinz‐Peter Breuer, Andreas Buchleitner, Matteo Fadel, Nicolas Treps, Hartmut Häffner, Hermann Kampermann, Dagmar Bruß and Alexander Streltsov and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Physics.

In The Last Decade

Manuel Gessner

56 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Gessner France 21 1.1k 994 120 59 58 56 1.2k
U. Dorner United Kingdom 13 1.6k 1.4× 1.1k 1.2× 246 2.0× 23 0.4× 134 2.3× 20 1.8k
Dylan H. Mahler Canada 12 659 0.6× 519 0.5× 100 0.8× 32 0.5× 157 2.7× 25 830
Joshua Combes United States 20 1.1k 1.0× 1.0k 1.1× 136 1.1× 17 0.3× 171 2.9× 48 1.3k
Hugo Cable United Kingdom 15 1.5k 1.4× 1.6k 1.6× 166 1.4× 43 0.7× 141 2.4× 34 1.8k
Geoff Gillett Australia 6 610 0.5× 688 0.7× 43 0.4× 16 0.3× 84 1.4× 9 813
Emmanuel Flurin France 17 1.2k 1.0× 839 0.8× 99 0.8× 39 0.7× 284 4.9× 36 1.3k
Marco Gramegna Italy 19 708 0.6× 648 0.7× 134 1.1× 43 0.7× 93 1.6× 68 901
B. M. Escher Brazil 10 1.2k 1.0× 1.1k 1.1× 200 1.7× 10 0.2× 49 0.8× 11 1.3k
Deny R. Hamel Canada 11 833 0.7× 784 0.8× 111 0.9× 16 0.3× 99 1.7× 21 915
Fabricio Toscano Brazil 18 926 0.8× 789 0.8× 207 1.7× 15 0.3× 27 0.5× 41 1.0k

Countries citing papers authored by Manuel Gessner

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Gessner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Gessner

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

All Works

20 of 20 papers shown
1.
Sun, Feng-Xiao, et al.. (2025). Characterizing the Multipartite Entanglement Structure of Non-Gaussian Continuous-Variable States with a Single Evolution Operator. Physical Review Letters. 135(14). 140201–140201. 1 indexed citations
2.
Fadel, Matteo, et al.. (2025). Quantum metrology with a continuous-variable system. Reports on Progress in Physics. 88(10). 106001–106001. 1 indexed citations
3.
Barral, David, et al.. (2024). Metrological detection of entanglement generated by non-Gaussian operations. New Journal of Physics. 26(8). 83012–83012. 1 indexed citations
4.
Gessner, Manuel, et al.. (2024). Fundamental bounds for parameter estimation with few measurements. Physical Review Research. 6(4). 2 indexed citations
5.
Gessner, Manuel, et al.. (2024). Breaking local quantum speed limits with steering. Physical Review Research. 6(4). 1 indexed citations
6.
Gessner, Manuel, et al.. (2023). Quantum-enhanced multiparameter estimation and compressed sensing of a field. SciPost Physics. 14(3). 6 indexed citations
7.
Gessner, Manuel & Augusto Smerzi. (2023). Hierarchies of Frequentist Bounds for Quantum Metrology: From Cramér-Rao to Barankin. Physical Review Letters. 130(26). 260801–260801. 10 indexed citations
8.
Gessner, Manuel, et al.. (2023). Application range of crosstalk-affected spatial demultiplexing for resolving separations between unbalanced sources. New Journal of Physics. 25(10). 103050–103050. 8 indexed citations
9.
Gessner, Manuel, et al.. (2022). Compression des observables de spin non linéaires par torsion à un axe en présence de décohérence : Une étude analytique. HAL (Le Centre pour la Communication Scientifique Directe). 9 indexed citations
10.
Li, Weidong, et al.. (2021). Metrological Detection of Multipartite Entanglement from Young Diagrams. Physical Review Letters. 126(8). 80502–80502. 47 indexed citations
11.
Yadin, Benjamin, Matteo Fadel, & Manuel Gessner. (2021). Metrological complementarity reveals the Einstein-Podolsky-Rosen paradox. Nature Communications. 12(1). 2410–2410. 41 indexed citations
12.
Gessner, Manuel, et al.. (2021). Optimal Observables and Estimators for Practical Superresolution Imaging. Physical Review Letters. 127(12). 123604–123604. 21 indexed citations
13.
Sinatra, Alice, et al.. (2021). Lois d’échelle pour l’augmentation de la sensibilité des états de spin non gaussiens. HAL (Le Centre pour la Communication Scientifique Directe). 17 indexed citations
14.
Klempt, Carsten, et al.. (2021). Interferometric Order Parameter for Excited-State Quantum Phase Transitions in Bose-Einstein Condensates. Physical Review Letters. 126(23). 230602–230602. 24 indexed citations
15.
Wolf, Fabian, Manuel Gessner, Luca Pezzè, et al.. (2019). Motional Fock states for quantum-enhanced amplitude and phase measurements with trapped ions. Nature Communications. 10(1). 2929–2929. 85 indexed citations
16.
Pezzè, Luca, et al.. (2019). Heralded Generation of Macroscopic Superposition States in a Spinor Bose-Einstein Condensate. Physical Review Letters. 123(26). 260403–260403. 18 indexed citations
17.
Gessner, Manuel, Augusto Smerzi, & Luca Pezzè. (2019). Metrological Nonlinear Squeezing Parameter. Physical Review Letters. 122(9). 90503–90503. 58 indexed citations
18.
Buchleitner, Andreas, et al.. (2016). Generating and protecting correlated quantum states under collective dephasing. New Journal of Physics. 18(7). 73010–73010. 8 indexed citations
19.
Buchleitner, Andreas, et al.. (2015). Robust Asymptotic Entanglement under Multipartite Collective Dephasing. Physical Review Letters. 115(1). 10404–10404. 20 indexed citations
20.
Lanyon, B. P., Petar Jurcevic, Cornelius Hempel, et al.. (2013). Experimental Generation of Quantum Discord via Noisy Processes. Physical Review Letters. 111(10). 100504–100504. 41 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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