Mădălin Guţǎ

2.0k total citations · 1 hit paper
41 papers, 1.3k citations indexed

About

Mădălin Guţǎ is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Mădălin Guţǎ has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atomic and Molecular Physics, and Optics, 32 papers in Artificial Intelligence and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Mădălin Guţǎ's work include Quantum Information and Cryptography (31 papers), Quantum Mechanics and Applications (22 papers) and Quantum Computing Algorithms and Architecture (12 papers). Mădălin Guţǎ is often cited by papers focused on Quantum Information and Cryptography (31 papers), Quantum Mechanics and Applications (22 papers) and Quantum Computing Algorithms and Architecture (12 papers). Mădălin Guţǎ collaborates with scholars based in United Kingdom, Netherlands and France. Mădălin Guţǎ's co-authors include Rafał Demkowicz-Dobrzański, Jan Kołodyński, Juan P. Garrahan, Igor Lesanovsky, Jonas Kahn, Katarzyna Macieszczak, Merlijn van Horssen, Anna Jenčová, Jukka Kiukas and Hendra I. Nurdin and has published in prestigious journals such as Physical Review Letters, Nature Communications and Automatica.

In The Last Decade

Mădălin Guţǎ

40 papers receiving 1.2k citations

Hit Papers

The elusive Heisenberg limit in quantum-enhanced metrology 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mădălin Guţǎ United Kingdom 16 1.1k 1.0k 271 54 32 41 1.3k
John Calsamiglia Spain 24 2.0k 1.9× 2.2k 2.2× 169 0.6× 27 0.5× 145 4.5× 55 2.4k
Zbigniew Puchała Poland 15 463 0.4× 489 0.5× 152 0.6× 34 0.6× 20 0.6× 49 617
Giacomo Torlai Canada 12 721 0.7× 711 0.7× 199 0.7× 24 0.4× 53 1.7× 16 1.1k
Uttam Singh India 13 1.2k 1.1× 1.2k 1.2× 271 1.0× 13 0.2× 24 0.8× 20 1.3k
Manabendra Nath Bera India 15 1.6k 1.5× 1.6k 1.5× 414 1.5× 6 0.1× 42 1.3× 27 1.8k
Francesco Ticozzi Italy 12 399 0.4× 450 0.4× 124 0.5× 16 0.3× 28 0.9× 61 568
Teiko Heinosaari Finland 20 1.2k 1.1× 1.2k 1.2× 293 1.1× 19 0.4× 19 0.6× 64 1.3k
Mário Ziman Slovakia 22 1.6k 1.5× 1.7k 1.6× 454 1.7× 11 0.2× 29 0.9× 71 1.9k
Matteo Lostaglio United Kingdom 18 1.4k 1.3× 1.3k 1.3× 937 3.5× 11 0.2× 9 0.3× 25 1.7k
Fabricio Toscano Brazil 18 926 0.9× 789 0.8× 207 0.8× 19 0.4× 27 0.8× 41 1.0k

Countries citing papers authored by Mădălin Guţǎ

Since Specialization
Citations

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

Fields of papers citing papers by Mădălin Guţǎ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mădălin Guţǎ

This figure shows the co-authorship network connecting the top 25 collaborators of Mădălin Guţǎ. A scholar is included among the top collaborators of Mădălin Guţǎ 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 Mădălin Guţǎ. Mădălin Guţǎ 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.
Guţǎ, Mădălin, et al.. (2025). Bounds on Fluctuations of First Passage Times for Counting Observables in Classical and Quantum Markov Processes. Journal of Statistical Physics. 192(9). 126–126. 2 indexed citations
2.
Guţǎ, Mădălin, et al.. (2024). Optimal estimation of pure states with displaced-null measurements. Journal of Physics A Mathematical and Theoretical. 57(24). 245304–245304. 2 indexed citations
3.
Garrahan, Juan P., et al.. (2023). Concentration Inequalities for Output Statistics of Quantum Markov Processes. Annales Henri Poincaré. 24(8). 2799–2832. 6 indexed citations
4.
Guţǎ, Mădălin, et al.. (2023). General Upper Bounds on Fluctuations of Trajectory Observables. Physical Review Letters. 131(19). 197101–197101. 8 indexed citations
5.
Guţǎ, Mădălin, et al.. (2023). Adaptive measurement filter: efficient strategy for optimal estimation of quantum Markov chains. Quantum. 7. 973–973. 10 indexed citations
6.
Kahn, Jonas, et al.. (2022). Projected Least-Squares Quantum Process Tomography. Quantum. 6. 844–844. 20 indexed citations
7.
Horssen, Merlijn van, et al.. (2022). Large deviations, central limit, and dynamical phase transitions in the atom maser. Journal of Mathematical Physics. 63(6). 2 indexed citations
8.
Guţǎ, Mădălin, et al.. (2018). Minimax estimation of qubit states with Bures risk. Journal of Physics A Mathematical and Theoretical. 51(17). 175307–175307.
9.
Guţǎ, Mădălin, et al.. (2018). Power spectrum identification for quantum linear systems. Automatica. 90. 255–262. 4 indexed citations
10.
Macieszczak, Katarzyna, Mădălin Guţǎ, Igor Lesanovsky, & Juan P. Garrahan. (2016). Towards a Theory of Metastability in Open Quantum Dynamics. Physical Review Letters. 116(24). 240404–240404. 141 indexed citations
11.
Kiukas, Jukka, Mădălin Guţǎ, Igor Lesanovsky, & Juan P. Garrahan. (2015). Equivalence of matrix product ensembles of trajectories in open quantum systems. Physical Review E. 92(1). 12132–12132. 18 indexed citations
12.
Guţǎ, Mădălin, et al.. (2014). Heisenberg versus standard scaling in quantum metrology with Markov generated states and monitored environment. Physical Review A. 90(1). 7 indexed citations
13.
Guţǎ, Mădălin & Naoki Yamamoto. (2013). Systems identification for passive linear quantum systems: the transfer function approach. arXiv (Cornell University). 1 indexed citations
14.
Lesanovsky, Igor, Merlijn van Horssen, Mădălin Guţǎ, & Juan P. Garrahan. (2013). Characterization of Dynamical Phase Transitions in Quantum Jump Trajectories Beyond the Properties of the Stationary State. Physical Review Letters. 110(15). 150401–150401. 57 indexed citations
15.
Demkowicz-Dobrzański, Rafał, Jan Kołodyński, & Mădălin Guţǎ. (2012). The elusive Heisenberg limit in quantum-enhanced metrology. Nature Communications. 3(1). 1063–1063. 487 indexed citations breakdown →
16.
Guţǎ, Mădălin. (2011). Fisher information and asymptotic normality in system identification for quantum Markov chains. Physical Review A. 83(6). 39 indexed citations
17.
Guţǎ, Mădălin, et al.. (2008). Quantum stochastics and information : statistics, filtering, and control : University of Nottingham, UK, 15-22 July 2006. WORLD SCIENTIFIC eBooks. 5 indexed citations
18.
Guţǎ, Mădălin & Jonas Kahn. (2006). Local asymptotic normality for qubit states (15 pages). Physical Review A. 73(5). 52108–6. 2 indexed citations
19.
Guţǎ, Mădălin & Jonas Kahn. (2006). Local asymptotic normality for qubit states. Physical Review A. 73(5). 44 indexed citations
20.
Guţǎ, Mădălin & Hans Maassen. (2002). Generalised Brownian Motion and Second Quantisation. Journal of Functional Analysis. 191(2). 241–275. 12 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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