Mark M. Wilde

8.4k total citations · 4 hit papers
188 papers, 4.7k citations indexed

About

Mark M. Wilde is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Mark M. Wilde has authored 188 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Artificial Intelligence, 132 papers in Atomic and Molecular Physics, and Optics and 19 papers in Computational Theory and Mathematics. Recurrent topics in Mark M. Wilde's work include Quantum Information and Cryptography (163 papers), Quantum Computing Algorithms and Architecture (158 papers) and Quantum Mechanics and Applications (115 papers). Mark M. Wilde is often cited by papers focused on Quantum Information and Cryptography (163 papers), Quantum Computing Algorithms and Architecture (158 papers) and Quantum Mechanics and Applications (115 papers). Mark M. Wilde collaborates with scholars based in United States, Canada and United Kingdom. Mark M. Wilde's co-authors include Saikat Guha, Andreas Winter, Todd A. Brun, Masahiro Takeoka, Dong Yang, Min-Hsiu Hsieh, Mario Berta, Eneet Kaur, Sidney W. Mintz and Xin Wang and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Photonics.

In The Last Decade

Mark M. Wilde

178 papers receiving 4.6k citations

Hit Papers

Quantum Information Theory 2013 2026 2017 2021 2013 2016 2014 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark M. Wilde United States 34 3.9k 3.1k 666 531 334 188 4.7k
Renato Renner Switzerland 45 6.8k 1.7× 6.1k 2.0× 1.4k 2.1× 459 0.9× 502 1.5× 138 8.1k
A. S. Holevo Russia 30 5.1k 1.3× 4.9k 1.6× 985 1.5× 284 0.5× 296 0.9× 105 6.0k
Stephanie Wehner Netherlands 38 6.9k 1.8× 7.2k 2.3× 1.3k 1.9× 350 0.7× 608 1.8× 130 8.6k
Barbara M. Terhal United States 46 7.2k 1.8× 6.5k 2.1× 372 0.6× 783 1.5× 494 1.5× 105 8.3k
Marco Tomamichel Singapore 30 2.9k 0.7× 2.4k 0.8× 578 0.9× 229 0.4× 411 1.2× 106 3.5k
M. A. Martín-Delgado Spain 41 2.8k 0.7× 4.7k 1.5× 644 1.0× 480 0.9× 237 0.7× 136 5.7k
Fernando G. S. L. Brandão United States 35 3.9k 1.0× 4.1k 1.3× 1.2k 1.8× 261 0.5× 291 0.9× 102 5.1k
Giacomo Mauro D’Ariano Italy 44 6.4k 1.6× 6.3k 2.0× 948 1.4× 546 1.0× 290 0.9× 249 7.5k
Sergey Bravyi United States 37 5.3k 1.3× 4.6k 1.5× 418 0.6× 1.1k 2.1× 607 1.8× 75 7.0k
Michael M. Wolf Germany 44 5.8k 1.5× 7.0k 2.2× 1.5k 2.3× 281 0.5× 232 0.7× 128 8.4k

Countries citing papers authored by Mark M. Wilde

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Wilde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark M. Wilde. 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 Mark M. Wilde. The network helps show where Mark M. Wilde may publish in the future.

Co-authorship network of co-authors of Mark M. Wilde

This figure shows the co-authorship network connecting the top 25 collaborators of Mark M. Wilde. A scholar is included among the top collaborators of Mark M. Wilde 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 Mark M. Wilde. Mark M. Wilde 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.
Wang, Kun, Xin Wang, & Mark M. Wilde. (2024). Quantifying the unextendibility of entanglement*. New Journal of Physics. 26(3). 33013–33013. 2 indexed citations
2.
Russo, Vincent M., et al.. (2024). Schrödinger as a Quantum Programmer: Estimating Entanglement via Steering. Quantum. 8. 1366–1366.
3.
Gour, Gilad, et al.. (2024). Inevitability of knowing less than nothing. Quantum. 8. 1529–1529. 1 indexed citations
4.
Regula, Bartosz, et al.. (2024). Postselected communication over quantum channels. International Journal of Quantum Information. 22(5). 2 indexed citations
5.
Huang, Zixin, Ben Q. Baragiola, Nicolas C. Menicucci, & Mark M. Wilde. (2024). Limited quantum advantage for stellar interferometry via continuous-variable teleportation. Physical review. A. 109(5). 2 indexed citations
6.
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
7.
Wilde, Mark M., et al.. (2023). Testing symmetry on quantum computers. Quantum. 7. 1120–1120. 5 indexed citations
8.
Kaur, Eneet, et al.. (2023). Multipartite Intrinsic Non-Locality and Device-Independent Conference Key Agreement. Quantum. 7. 898–898. 3 indexed citations
9.
Regula, Bartosz, Ludovico Lami, & Mark M. Wilde. (2023). Postselected Quantum Hypothesis Testing. IEEE Transactions on Information Theory. 70(5). 3453–3469. 4 indexed citations
10.
Regula, Bartosz, Ludovico Lami, & Mark M. Wilde. (2023). Overcoming entropic limitations on asymptotic state transformations through probabilistic protocols. Physical review. A. 107(4). 4 indexed citations
11.
Takagi, Ryuji, Bartosz Regula, & Mark M. Wilde. (2022). One-Shot Yield-Cost Relations in General Quantum Resource Theories. PRX Quantum. 3(1). 12 indexed citations
12.
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
13.
Khatri, Sumeet, Kunal Sharma, & Mark M. Wilde. (2019). Information-theoretic aspects of the generalized amplitude damping channel. arXiv (Cornell University). 40 indexed citations
14.
Ding, David Y. & Mark M. Wilde. (2018). Strong Converse for the Feedback-Assisted Classical Capacity of Entanglement-Breaking Channels. Civil War Book Review. 3 indexed citations
15.
Mosonyi, Milán, et al.. (2016). Strong Converse Exponents for a Quantum Channel Discrimination Problem and Quantum-Feedback-Assisted Communication. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 80 indexed citations
16.
Seshadreesan, Kaushik P. & Mark M. Wilde. (2014). Fidelity of recovery and geometric squashed entanglement. arXiv (Cornell University). 2015. 1 indexed citations
17.
Tomamichel, Marco, Mark M. Wilde, & Andreas Winter. (2014). Strong converse bounds for quantum communication.. arXiv (Cornell University). 5 indexed citations
18.
Bardhan, Bhaskar Roy, Raúl García−Patrón, Mark M. Wilde, & Andreas Winter. (2014). Strong converse for the classical capacity of all phase-insensitive bosonic Gaussian channels. arXiv (Cornell University). 3 indexed citations
19.
Wilde, Mark M., Olivier Landon-Cardinal, & Patrick Hayden. (2013). Towards Efficient Decoding of Classical-Quantum Polar Codes. Civil War Book Review. 157–177. 2 indexed citations
20.
Wilde, Mark M., Federico M. Spedalieri, Jonathan P. Dowling, & Hwang Lee. (2006). Optical Cluster-State Generation without Number-Resolving Photon Detectors. arXiv (Cornell University). 1 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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