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.
Quantum computational chemistry
2020941 citationsSam McArdle, Suguru Endo et al.Reviews of Modern Physicsprofile →
Countries citing papers authored by Simon C. Benjamin
Since
Specialization
Citations
This map shows the geographic impact of Simon C. Benjamin'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 Simon C. Benjamin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon C. Benjamin more than expected).
Fields of papers citing papers by Simon C. Benjamin
This network shows the impact of papers produced by Simon C. Benjamin. 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 Simon C. Benjamin. The network helps show where Simon C. Benjamin may publish in the future.
Co-authorship network of co-authors of Simon C. Benjamin
This figure shows the co-authorship network connecting the top 25 collaborators of Simon C. Benjamin.
A scholar is included among the top collaborators of Simon C. Benjamin 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 Simon C. Benjamin. Simon C. Benjamin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cai, Zhenyu, Ryan Babbush, Simon C. Benjamin, et al.. (2023). Quantum error mitigation. Reviews of Modern Physics. 95(4).260 indexed citations breakdown →
9.
Morris, Garrett M., et al.. (2021). Investigating the potential for a limited quantum speedup on protein lattice problems. Oxford University Research Archive (ORA) (University of Oxford).14 indexed citations
10.
Outeiral, Carlos, et al.. (2020). The prospects of quantum computing in computational molecular biology. Oxford University Research Archive (ORA) (University of Oxford).143 indexed citations
Benjamin, Simon C., et al.. (2020). Variational-state quantum metrology. Oxford University Research Archive (ORA) (University of Oxford).69 indexed citations
Yuan, Xiao, Suguru Endo, Martina Esposito, et al.. (2019). Implementing the Variational Quantum Eigensolver with native 2-qubit interaction and error mitigation. Bulletin of the American Physical Society. 2019.2 indexed citations
15.
McArdle, Sam, Tyson Jones, Suguru Endo, et al.. (2018). Variational quantum simulation of imaginary time evolution. arXiv (Cornell University).4 indexed citations
16.
McArdle, Sam, Suguru Endo, Ying Li, Simon C. Benjamin, & Xiao Yuan. (2018). Variational quantum simulation of imaginary time evolution with applications in chemistry and beyond. arXiv (Cornell University).2 indexed citations
17.
McArdle, Sam, Xiao Yuan, & Simon C. Benjamin. (2018). Error mitigated quantum computational chemistry. arXiv (Cornell University).1 indexed citations
Benjamin, Simon C.. (2005). Efficient Cluster State Construction Under the Barrett and Kok Scheme. arXiv (Cornell University).1 indexed citations
20.
Benjamin, Simon C.. (2005). Comment on "Efficient high-fidelity quantum computation using matter qubits and linear optics" (3 pages). Physical Review A. 72(5). 56302.2 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.