Daniel Claudino

549 total citations
23 papers, 314 citations indexed

About

Daniel Claudino is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Daniel Claudino has authored 23 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 12 papers in Artificial Intelligence and 3 papers in Hardware and Architecture. Recurrent topics in Daniel Claudino's work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (9 papers) and Advanced Chemical Physics Studies (7 papers). Daniel Claudino is often cited by papers focused on Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (9 papers) and Advanced Chemical Physics Studies (7 papers). Daniel Claudino collaborates with scholars based in United States, Brazil and Canada. Daniel Claudino's co-authors include Nicholas J. Mayhall, Sophia E. Economou, Harper R. Grimsley, Edwin Barnes, Rodney J. Bartlett, Alexander McCaskey, Ricardo Gargano, Thien Nguyen, Hal Finkel and Dmitry I. Lyakh and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry Letters.

In The Last Decade

Daniel Claudino

20 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Claudino United States 9 218 163 42 32 22 23 314
Bruno Senjean France 12 288 1.3× 167 1.0× 53 1.3× 35 1.1× 26 1.2× 22 402
Siyuan Liu China 8 146 0.7× 163 1.0× 43 1.0× 12 0.4× 18 0.8× 18 310
Rahul Maitra India 11 215 1.0× 122 0.7× 70 1.7× 35 1.1× 8 0.4× 32 332
Carlos L. Benavides-Riveros Germany 12 252 1.2× 72 0.4× 85 2.0× 26 0.8× 20 0.9× 24 319
Manas Sajjan United States 11 212 1.0× 168 1.0× 76 1.8× 7 0.2× 19 0.9× 27 372
Hugh G. A. Burton United Kingdom 13 278 1.3× 61 0.4× 42 1.0× 53 1.7× 40 1.8× 27 348
Dmitry A. Fedorov United States 13 247 1.1× 172 1.1× 115 2.7× 34 1.1× 36 1.6× 25 475
Alain Delgado Italy 12 129 0.6× 135 0.8× 76 1.8× 16 0.5× 21 1.0× 19 311
E. Pérez‐Romero Spain 13 349 1.6× 35 0.2× 21 0.5× 76 2.4× 43 2.0× 16 370

Countries citing papers authored by Daniel Claudino

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Claudino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Claudino

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Claudino. A scholar is included among the top collaborators of Daniel Claudino 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 Daniel Claudino. Daniel Claudino 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
2.
Bertels, Luke W., Daniel Claudino, Sophia E. Economou, et al.. (2025). Qubit-Efficient Quantum Chemistry with the ADAPT Variational Quantum Eigensolver and Double Unitary Downfolding. Journal of Chemical Theory and Computation. 21(18). 8799–8811.
3.
Peng, Bo, Yuan Su, Daniel Claudino, et al.. (2025). Quantum simulation of boson-related Hamiltonians: techniques, effective Hamiltonian construction, and error analysis. Quantum Science and Technology. 10(2). 23002–23002. 3 indexed citations
4.
Groszkowski, Peter, et al.. (2025). Bridging paradigms: Designing for HPC-Quantum convergence. Future Generation Computer Systems. 174. 107980–107980. 1 indexed citations
5.
Johnson, S. R., et al.. (2025). QIR-EE. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
6.
Claudino, Daniel, et al.. (2024). An Attractive Way to Correct for Missing Singles Excitations in Unitary Coupled Cluster Doubles Theory. The Journal of Physical Chemistry A. 128(33). 7036–7045. 3 indexed citations
7.
Bauman, Nicholas P., Karol Kowalski, Daniel Claudino, et al.. (2023). Enabling Scalable VQE Simulation on Leading HPC Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1460–1467. 4 indexed citations
8.
Claudino, Daniel, Bo Peng, Karol Kowalski, & Travis S. Humble. (2023). Modeling Singlet Fission on a Quantum Computer. The Journal of Physical Chemistry Letters. 14(24). 5511–5516. 6 indexed citations
9.
Claudino, Daniel, et al.. (2022). Numerical simulations of noisy quantum circuits for computational chemistry. SHILAP Revista de lepidopterología. 6(1). 3 indexed citations
10.
Claudino, Daniel, Alexander McCaskey, & Dmitry I. Lyakh. (2022). A Backend-agnostic, Quantum-classical Framework for Simulations of Chemistry in C ++. arXiv (Cornell University). 4(1). 1–20. 5 indexed citations
11.
Lyakh, Dmitry I., Thien Nguyen, Daniel Claudino, Eugene Dumitrescu, & Alexander McCaskey. (2022). ExaTN: Scalable GPU-Accelerated High-Performance Processing of General Tensor Networks at Exascale. Frontiers in Applied Mathematics and Statistics. 8. 12 indexed citations
12.
McCaskey, Alexander, et al.. (2021). Extending C++ for Heterogeneous Quantum-Classical Computing. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2(2). 1–36. 23 indexed citations
13.
Claudino, Daniel, et al.. (2021). Numerical Simulations of Noisy Variational Quantum Eigensolver Ansatz Circuits. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 155–159. 4 indexed citations
14.
Claudino, Daniel & Nicholas J. Mayhall. (2019). Automatic Partition of Orbital Spaces Based on Singular Value Decomposition in the Context of Embedding Theories. Journal of Chemical Theory and Computation. 15(2). 1053–1064. 58 indexed citations
15.
Claudino, Daniel & Nicholas J. Mayhall. (2019). Simple and Efficient Truncation of Virtual Spaces in Embedded Wave Functions via Concentric Localization. Journal of Chemical Theory and Computation. 15(11). 6085–6096. 31 indexed citations
16.
Grimsley, Harper R., Daniel Claudino, Sophia E. Economou, Edwin Barnes, & Nicholas J. Mayhall. (2019). Is the Trotterized UCCSD Ansatz Chemically Well-Defined?. Journal of Chemical Theory and Computation. 16(1). 1–6. 101 indexed citations
17.
18.
Claudino, Daniel, Ricardo Gargano, & Rodney J. Bartlett. (2016). Coupled-cluster based basis sets for valence correlation calculations. The Journal of Chemical Physics. 144(10). 104106–104106. 14 indexed citations
19.
Claudino, Daniel, Ricardo Gargano, Valter H. Carvalho‐Silva, Geraldo Magela e Silva, & Wiliam Ferreira da Cunha. (2016). Investigation of the Abstraction and Dissociation Mechanism in the Nitrogen Trifluoride Channels: Combined Post-Hartree–Fock and Transition State Theory Approaches. The Journal of Physical Chemistry A. 120(28). 5464–5473. 11 indexed citations
20.
Margraf, Johannes T., Daniel Claudino, & Rodney J. Bartlett. (2016). Determination of consistent semiempirical one-centre integrals based on coupled-cluster theory. Molecular Physics. 115(5). 538–544. 5 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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