Marc Beekman
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics
- Co-authors
- Nandini MuthusubramanianL. DiCarloAlessandro BrunoNadia HaiderChristos ZachariadisFrancesco BattistelWouter VlothuizenRamiro Sagastizabal
- Topics
- Quantum Information and Cryptography (8 papers)Quantum Computing Algorithms and Architecture (8 papers)Quantum and electron transport phenomena (6 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- NetherlandsPortugalUnited States
In The Last Decade
Marc Beekman
10 papers receiving 315 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 286
- Atomic and Molecular Physics, and Optics 213
- Computational Theory and Mathematics 46
- Electrical and Electronic Engineering 38
- Statistical and Nonlinear Physics 11
Countries citing papers authored by Marc Beekman
This map shows the geographic impact of Marc Beekman'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 Marc Beekman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Beekman more than expected).
Fields of papers citing papers by Marc Beekman
This network shows the impact of papers produced by Marc Beekman. 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 Marc Beekman. The network helps show where Marc Beekman may publish in the future.
Co-authorship network of co-authors of Marc Beekman
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Beekman. A scholar is included among the top collaborators of Marc Beekman 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 Marc Beekman. Marc Beekman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 18 | |
| 3 | 4 | |
| 4 | 64 | |
| 5 | 89 | |
| 6 | High-fidelity controlled-Z gate with maximal intermediate leakage operating at the speed limit in a superconducting quantum processor | 3 |
| 7 | 18 | |
| 8 | 36 | |
| 9 | Protecting quantum entanglement from qubit errors and leakage via repetitive parity measurements | 3 |
| 10 | 78 |
About Marc Beekman
Marc Beekman is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 10 papers that have together received 322 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (8 papers), Quantum Computing Algorithms and Architecture (8 papers) and Quantum and electron transport phenomena (6 papers). The work is most often cited by research in Artificial Intelligence (286 citations), Atomic and Molecular Physics, and Optics (213 citations) and Computational Theory and Mathematics (46 citations). Marc Beekman has collaborated with scholars based in Netherlands, Portugal and United States. Frequent co-authors include Nandini Muthusubramanian, L. DiCarlo, Alessandro Bruno, Nadia Haider, Christos Zachariadis, Francesco Battistel, Wouter Vlothuizen, Ramiro Sagastizabal, M. A. Rol and Viacheslav Ostroukh. Their work appears in journals such as Physical Review Letters, Applied Physics Letters and Nature Physics.
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.