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.
Simulating Hamiltonian Dynamics with a Truncated Taylor Series
2015426 citationsDominic W. Berry, Andrew M. Childs et al.Physical Review Lettersprofile →
Efficient quantum state tomography
2010420 citationsM. Cramer, Martin B. Plenio et al.Nature Communicationsprofile →
Quantum Algorithm for Systems of Linear Equations with Exponentially Improved Dependence on Precision
2017348 citationsAndrew M. Childs, Robin Kothari et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Rolando D. Somma
Since
Specialization
Citations
This map shows the geographic impact of Rolando D. Somma'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 Rolando D. Somma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rolando D. Somma more than expected).
Fields of papers citing papers by Rolando D. Somma
This network shows the impact of papers produced by Rolando D. Somma. 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 Rolando D. Somma. The network helps show where Rolando D. Somma may publish in the future.
Co-authorship network of co-authors of Rolando D. Somma
This figure shows the co-authorship network connecting the top 25 collaborators of Rolando D. Somma.
A scholar is included among the top collaborators of Rolando D. Somma 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 Rolando D. Somma. Rolando D. Somma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Subaşı, Yiğit, et al.. (2018). Quantum algorithms for linear systems of equations inspired by adiabatic quantum computing. arXiv (Cornell University).1 indexed citations
Somma, Rolando D., Andrew M. Childs, & Robin Kothari. (2016). Quantum linear systems algorithm with exponentially improved dependence on precision. Bulletin of the American Physical Society. 2016.10 indexed citations
Childs, Andrew M., Robin Kothari, & Rolando D. Somma. (2015). Quantum linear systems algorithm with exponentially improved dependence on precision. arXiv (Cornell University).16 indexed citations
Cramer, M., Martin B. Plenio, Steven T. Flammia, et al.. (2010). Efficient quantum state tomography. Nature Communications. 1(1). 149–149.420 indexed citations breakdown →
Somma, Rolando D., Gerardo Ortíz, Emanuel Knill, & J. E. Gubernatis. (2003). Quantum Simulations of Physics Problems.13 indexed citations
18.
Genta, Giancarlo & Rolando D. Somma. (2002). Non-Zoomorphic Walking Machines for Planetary Exploration and Exploitation. PORTO Publications Open Repository TOrino (Politecnico di Torino).1 indexed citations
19.
Corso, Dante Del, et al.. (1997). ALGEN - A Walking Robotic Rover for Planetary Exploration. PORTO Publications Open Repository TOrino (Politecnico di Torino).3 indexed citations
20.
Somma, Rolando D., et al.. (1983). The radar altimeter for ERS-1 Satellite.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.