Robert Salzmann

807 total citations · 1 hit paper
8 papers, 468 citations indexed

About

Robert Salzmann is a scholar working on Artificial Intelligence, Economics and Econometrics and Computational Theory and Mathematics. According to data from OpenAlex, Robert Salzmann has authored 8 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Economics and Econometrics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Robert Salzmann's work include Quantum Information and Cryptography (4 papers), Quantum Computing Algorithms and Architecture (4 papers) and Insurance, Mortality, Demography, Risk Management (2 papers). Robert Salzmann is often cited by papers focused on Quantum Information and Cryptography (4 papers), Quantum Computing Algorithms and Architecture (4 papers) and Insurance, Mortality, Demography, Risk Management (2 papers). Robert Salzmann collaborates with scholars based in United Kingdom, Switzerland and United States. Robert Salzmann's co-authors include Dmytro Bondarenko, Ramona Wolf, Kerstin Beer, Terry Farrelly, Tobias J. Osborne, Mario V. Wüthrich, Nilanjana Datta, Mark M. Wilde, Gilad Gour and Xin Wang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Information Theory and New Journal of Physics.

In The Last Decade

Robert Salzmann

7 papers receiving 440 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.

Training deep quantum neural networks

2020 388 citations Kerstin Beer, Dmytro Bondarenko et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Salzmann United Kingdom	6	354	95	66	65	50	8	468
Enrique Lizaso Spain	4	344 1.0×	110 1.2×	84 1.3×	43 0.7×	28 0.6×	4	432
Samuel Mugel Spain	5	350 1.0×	123 1.3×	86 1.3×	43 0.7×	28 0.6×	6	448
Kerstin Beer Germany	4	344 1.0×	92 1.0×	67 1.0×	66 1.0×	13 0.3×	5	403
Dmytro Bondarenko Ukraine	4	419 1.2×	150 1.6×	70 1.1×	76 1.2×	13 0.3×	11	519
Faisal Shah Khan United Arab Emirates	8	239 0.7×	155 1.6×	36 0.5×	25 0.4×	23 0.5×	20	321
Mohammed Zidan Egypt	13	286 0.8×	137 1.4×	78 1.2×	26 0.4×	16 0.3×	23	480
Yuxin Shen China	10	90 0.3×	38 0.4×	18 0.3×	102 1.6×	36 0.7×	25	409
Zhimin He China	9	225 0.6×	64 0.7×	40 0.6×	23 0.4×	9 0.2×	37	294
Bikash K. Behera India	12	405 1.1×	239 2.5×	58 0.9×	38 0.6×	5 0.1×	49	487

Countries citing papers authored by Robert Salzmann

Since Specialization

Citations

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

Fields of papers citing papers by Robert Salzmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Salzmann

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

Becker, Simon, et al.. (2025). Convergence Rates for the Trotter Splitting for Unbounded Operators. Foundations of Computational Mathematics.

2.

Cheng, Hao–Chung, et al.. (2025). An invitation to the sample complexity of quantum hypothesis testing. npj Quantum Information. 11(1). 2 indexed citations

3.

Datta, Nilanjana, et al.. (2024). Parallelization of Adaptive Quantum Channel Discrimination in the Non-Asymptotic Regime. IEEE Transactions on Information Theory. 70(4). 2617–2636. 5 indexed citations

4.

Salzmann, Robert, Nilanjana Datta, Gilad Gour, Xin Wang, & Mark M. Wilde. (2021). Symmetric distinguishability as a quantum resource. New Journal of Physics. 23(8). 83016–83016. 7 indexed citations

5.

Beer, Kerstin, Dmytro Bondarenko, Terry Farrelly, et al.. (2020). Training deep quantum neural networks. Nature Communications. 11(1). 808–808. 388 indexed citations breakdown →

6.

Salzmann, Robert, et al.. (2018). Case Study: French Motor Third-Party Liability Claims. SSRN Electronic Journal. 34 indexed citations

7.

Salzmann, Robert & Mario V. Wüthrich. (2012). Modeling accounting year dependence in runoff triangles. European Actuarial Journal. 2(2). 227–242. 13 indexed citations

8.

Salzmann, Robert & Mario V. Wüthrich. (2010). Cost-of-Capital Margin for a General Insurance Liability Runoff. Astin Bulletin. 40(2). 415–451. 19 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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