Markus Brink

7.4k total citations · 4 hit papers
38 papers, 4.6k citations indexed

About

Markus Brink is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Markus Brink has authored 38 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 18 papers in Electrical and Electronic Engineering and 12 papers in Materials Chemistry. Recurrent topics in Markus Brink's work include Quantum and electron transport phenomena (14 papers), Quantum Information and Cryptography (10 papers) and Quantum Computing Algorithms and Architecture (9 papers). Markus Brink is often cited by papers focused on Quantum and electron transport phenomena (14 papers), Quantum Information and Cryptography (10 papers) and Quantum Computing Algorithms and Architecture (9 papers). Markus Brink collaborates with scholars based in United States, Switzerland and Germany. Markus Brink's co-authors include Jerry M. Chow, Paul L. McEuen, Maika Takita, Jay Gambetta, Kristan Temme, Abhinav Kandala, Antonio Mezzacapo, Yuval Yaish, V. A. Sazonova and Ali Javey and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Markus Brink

38 papers receiving 4.5k citations

Hit Papers

Hardware-efficient variational ... 2002 2026 2010 2018 2017 2002 2003 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Brink United States 20 1.9k 1.9k 1.7k 1.2k 978 38 4.6k
Guo‐Ping Guo China 33 1.5k 0.8× 2.5k 1.3× 1.1k 0.6× 1.5k 1.3× 534 0.5× 251 4.2k
Carlo Piermarocchi United States 29 885 0.5× 3.4k 1.8× 547 0.3× 1.0k 0.9× 623 0.6× 96 3.9k
Hajime Ishihara Japan 30 540 0.3× 1.8k 1.0× 569 0.3× 514 0.4× 1.1k 1.2× 262 3.1k
Mirko Lobino Australia 21 1.2k 0.7× 1.6k 0.9× 293 0.2× 989 0.8× 396 0.4× 49 2.7k
Guang‐Can Guo China 38 4.7k 2.5× 4.7k 2.5× 316 0.2× 728 0.6× 300 0.3× 248 6.0k
Semion K. Saikin United States 24 199 0.1× 1.0k 0.5× 899 0.5× 614 0.5× 413 0.4× 66 2.4k
Jun Gao China 29 509 0.3× 862 0.5× 460 0.3× 376 0.3× 585 0.6× 151 4.1k
Wilfred G. van der Wiel Netherlands 34 962 0.5× 4.5k 2.4× 2.6k 1.5× 4.2k 3.4× 868 0.9× 121 8.0k
C. H. W. Barnes United Kingdom 31 690 0.4× 2.5k 1.3× 1.2k 0.7× 1.2k 1.0× 667 0.7× 223 4.1k
Weibo Gao Singapore 48 2.4k 1.3× 4.0k 2.2× 4.0k 2.3× 3.2k 2.6× 729 0.7× 211 9.1k

Countries citing papers authored by Markus Brink

Since Specialization
Citations

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

Fields of papers citing papers by Markus Brink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Brink

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Brink. A scholar is included among the top collaborators of Markus Brink 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 Markus Brink. Markus Brink 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.
Hertzberg, Jared, et al.. (2022). Weakly Flux-Tunable Superconducting Qubit. Physical Review Applied. 18(3). 10 indexed citations
2.
Gordon, R. T., Conal E. Murray, Cihan Kurter, et al.. (2022). Environmental radiation impact on lifetimes and quasiparticle tunneling rates of fixed-frequency transmon qubits. Applied Physics Letters. 120(7). 37 indexed citations
3.
Abdo, Baleegh, et al.. (2021). High-Fidelity Qubit Readout Using Interferometric Directional Josephson Devices. PRX Quantum. 2(4). 13 indexed citations
4.
Ristè, Diego, Luke C. G. Govia, Brian Donovan, et al.. (2020). Real-time processing of stabilizer measurements in a bit-flip code. npj Quantum Information. 6(1). 22 indexed citations
5.
Brink, Markus, et al.. (2020). Suppression of Unwanted ZZ Interactions in a Hybrid Two-Qubit System. Physical Review Letters. 125(20). 200504–200504. 64 indexed citations
6.
Hertzberg, Jared, Sami Rosenblatt, Easwar Magesan, et al.. (2020). Effects of qubit frequency crowding on scalable quantum processors. Bulletin of the American Physical Society. 1 indexed citations
7.
Rosenblatt, Sami, Nicholas T. Bronn, Hanhee Paik, et al.. (2019). Enablement of near-term quantum processors by architectural yield engineering. Bulletin of the American Physical Society. 2019. 1 indexed citations
8.
Sandberg, Martin, Markus Brink, Vivekananda P. Adiga, et al.. (2019). Low temperature measurement of SiGe properties for superconducting quantum circuits. Bulletin of the American Physical Society. 2019. 1 indexed citations
9.
Brink, Markus, Jerry M. Chow, Jared Hertzberg, Easwar Magesan, & Sami Rosenblatt. (2018). Device challenges for near term superconducting quantum processors: frequency collisions. 6.1.1–6.1.3. 27 indexed citations
10.
Kandala, Abhinav, Antonio Mezzacapo, Kristan Temme, et al.. (2017). Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets. Nature. 549(7671). 242–246. 1720 indexed citations breakdown →
11.
Wang, Chao, J. Cotte, C. Jahnes, et al.. (2017). Wafer-scale integration of sacrificial nanofluidic chips for detecting and manipulating single DNA molecules. Nature Communications. 8(1). 14243–14243. 49 indexed citations
12.
Abdo, Baleegh, Markus Brink, & Jerry M. Chow. (2017). Gyrator Operation Using Josephson Mixers. Physical Review Applied. 8(3). 19 indexed citations
13.
Takita, Maika, Antonio Córcoles, Easwar Magesan, et al.. (2016). Demonstration of Weight-Four Parity Measurements in the Surface Code Architecture. Physical Review Letters. 117(21). 210505–210505. 119 indexed citations
14.
Feng, Yanxiao, Deqiang Wang, Jingwei Bai, et al.. (2015). Fabrication of Sub-20 NM Nanopore Arrays in Membranes with Embedded Metal Electrodes at Wafer Scales. Biophysical Journal. 108(2). 174a–175a. 2 indexed citations
15.
Bangsaruntip, Sarunya, Karthik Balakrishnan, Josephine Chang, et al.. (2013). Density scaling with gate-all-around silicon nanowire MOSFETs for the 10 nm node and beyond. 20.2.1–20.2.4. 79 indexed citations
16.
Yaish, Yuval, et al.. (2004). Electrical Nanoprobing of Semiconducting Carbon Nanotubes Using an Atomic Force Microscope. Physical Review Letters. 92(4). 46401–46401. 121 indexed citations
17.
Minot, Ethan D., Yuval Yaish, V. A. Sazonova, et al.. (2003). Tuning Carbon Nanotube Band Gaps with Strain. Physical Review Letters. 90(15). 156401–156401. 519 indexed citations breakdown →
18.
Guo, Jing, Supriyo Datta, Mark Lundstrom, et al.. (2003). Assessment of silicon MOS and carbon nanotube FET performance limits using a general theory of ballistic transistors. 711–714. 77 indexed citations
19.
Javey, Ali, Hyung Woo Kim, & Markus Brink. (2002). HIGH DIELECTRICS FOR ADVANCED CARBON NANOTUBE TRANSISTORS AND LOGIC. APS March Meeting Abstracts. 1. 241–246. 19 indexed citations
20.
Javey, Ali, Hyoungsub Kim, Markus Brink, et al.. (2002). High-κ dielectrics for advanced carbon-nanotube transistors and logic gates. Nature Materials. 1(4). 241–246. 782 indexed citations breakdown →

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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