Colleen Bertoni

1.9k total citations
19 papers, 298 citations indexed

About

Colleen Bertoni is a scholar working on Atomic and Molecular Physics, and Optics, Hardware and Architecture and Spectroscopy. According to data from OpenAlex, Colleen Bertoni has authored 19 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 5 papers in Hardware and Architecture and 5 papers in Spectroscopy. Recurrent topics in Colleen Bertoni's work include Spectroscopy and Quantum Chemical Studies (7 papers), Advanced Chemical Physics Studies (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Colleen Bertoni is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (7 papers), Advanced Chemical Physics Studies (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Colleen Bertoni collaborates with scholars based in United States, United Kingdom and Australia. Colleen Bertoni's co-authors include Mark S. Gordon, Spencer R. Pruitt, Kurt R. Brorsen, Venkat Ganesan, Manas Shah, Peng Xu, Emilie B. Guidez, Giuseppe M. J. Barca, Scott Parker and David Poole and has published in prestigious journals such as The Journal of Chemical Physics, Accounts of Chemical Research and The Journal of Physical Chemistry A.

In The Last Decade

Colleen Bertoni

17 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Colleen Bertoni United States	9	126	82	63	54	39	19	298
Melisa Alkan United States	12	87 0.7×	109 1.3×	43 0.7×	63 1.2×	24 0.6×	21	294
Susumu Narita Japan	12	129 1.0×	102 1.2×	151 2.4×	36 0.7×	59 1.5×	60	462
Buu Q. Pham United States	11	82 0.7×	179 2.2×	35 0.6×	47 0.9×	17 0.4×	19	324
Taylor Barnes United States	10	237 1.9×	123 1.5×	90 1.4×	52 1.0×	43 1.1×	13	412
Nicolas P. D. Sawaya United States	10	213 1.7×	56 0.7×	87 1.4×	15 0.3×	40 1.0×	20	428
H. Yamamoto Japan	9	76 0.6×	95 1.2×	229 3.6×	29 0.5×	30 0.8×	34	542
Jinxiao Zhang China	12	77 0.6×	278 3.4×	78 1.2×	74 1.4×	29 0.7×	29	481
S. V. Yablonsky Russia	7	31 0.2×	76 0.9×	38 0.6×	86 1.6×	15 0.4×	12	396
Honghui Shang China	16	242 1.9×	426 5.2×	193 3.1×	40 0.7×	8 0.2×	68	712
Pauline J. Ollitrault Switzerland	11	366 2.9×	53 0.6×	41 0.7×	19 0.4×	13 0.3×	19	566

Countries citing papers authored by Colleen Bertoni

Since Specialization

Citations

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

Fields of papers citing papers by Colleen Bertoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colleen Bertoni

This figure shows the co-authorship network connecting the top 25 collaborators of Colleen Bertoni. A scholar is included among the top collaborators of Colleen Bertoni 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 Colleen Bertoni. Colleen Bertoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Bertoni, Colleen, et al.. (2025). Millions of Matrix-Multiplications: GEMM Variations on Aurora. 850–856. 1 indexed citations

Kwack, JaeHyuk, et al.. (2025). AI and HPC Applications on Leadership Computing Platforms: Performance and Scalability Studies. 210–222. 1 indexed citations

Bertoni, Colleen, JaeHyuk Kwack, Thomas Applencourt, et al.. (2024). Early Application Experiences on Aurora at ALCF: Moving From Petascale to Exascale Systems. 12–23.

Sattasathuchana, Tosaporn, Peng Xu, Colleen Bertoni, et al.. (2024). The Effective Fragment Molecular Orbital Method: Achieving High Scalability and Accuracy for Large Systems. Journal of Chemical Theory and Computation. 20(6). 2445–2461. 7 indexed citations

Applencourt, Thomas, Colleen Bertoni, JaeHyuk Kwack, et al.. (2024). Ponte Vecchio Across the Atlantic: Single-Node Benchmarking of Two Intel GPU Systems. Bristol Research (University of Bristol). 1430–1442. 3 indexed citations

Sattasathuchana, Tosaporn, et al.. (2024). Performance Portability of Electron Repulsion Integrals and Their Related Methods across Peta to Exascale Architectures. 1943–1954.

Bertoni, Colleen, et al.. (2023). HIPLZ: Enabling performance portability for exascale systems. Concurrency and Computation Practice and Experience. 35(25). 2 indexed citations

Pham, Buu Q., Laura Carrington, Ananta Tiwari, et al.. (2023). Porting fragmentation methods to GPUs using an OpenMP API: Offloading the resolution-of-the-identity second-order Møller–Plesset perturbation method. The Journal of Chemical Physics. 158(16). 7 indexed citations

Kwack, JaeHyuk, et al.. (2021). Evaluation of Performance Portability of Applications and Mini-Apps across AMD, Intel and NVIDIA GPUs. 45–56. 14 indexed citations

10.

Barca, Giuseppe M. J., David Poole, Jorge L. Gálvez Vallejo, et al.. (2020). Scaling the Hartree-Fock Matrix Build on Summit. ANU Open Research (Australian National University). 1–14. 18 indexed citations

11.

Bertoni, Colleen, JaeHyuk Kwack, Thomas Applencourt, et al.. (2020). Performance Portability Evaluation of OpenCL Benchmarks across Intel and NVIDIA Platforms. 330–339. 12 indexed citations

12.

Fletcher, Graham D., Colleen Bertoni, Murat Keçeli, & Michael D’Mello. (2019). Valence : A Massively Parallel Implementation of the Variational Subspace Valence Bond Method. Journal of Computational Chemistry. 40(17). 1664–1673. 1 indexed citations

13.

Allcock, William, Colleen Bertoni, Joseph A. Insley, et al.. (2018). RAM as a Network Managed Resource. 99–106. 5 indexed citations

14.

Richard, Ryan M., Colleen Bertoni, Kristopher Keipert, et al.. (2018). Developing a Computational Chemistry Framework for the Exascale Era. Computing in Science & Engineering. 21(2). 48–58. 11 indexed citations

15.

Xu, Peng, Emilie B. Guidez, Colleen Bertoni, & Mark S. Gordon. (2018). Perspective: Ab initio force field methods derived from quantum mechanics. The Journal of Chemical Physics. 148(9). 53 indexed citations

16.

Bertoni, Colleen, Lyudmila V. Slipchenko, Alston J. Misquitta, & Mark S. Gordon. (2017). Multipole Moments in the Effective Fragment Potential Method. The Journal of Physical Chemistry A. 121(9). 2056–2067. 8 indexed citations

17.

Bertoni, Colleen & Mark S. Gordon. (2016). Analytic Gradients for the Effective Fragment Molecular Orbital Method. Journal of Chemical Theory and Computation. 12(10). 4743–4767. 18 indexed citations

18.

Pruitt, Spencer R., Colleen Bertoni, Kurt R. Brorsen, & Mark S. Gordon. (2014). Efficient and Accurate Fragmentation Methods. Accounts of Chemical Research. 47(9). 2786–2794. 72 indexed citations

19.

Ganesan, Venkat, et al.. (2012). Mechanisms Underlying Ion Transport in Lamellar Block Copolymer Membranes. ACS Macro Letters. 1(4). 513–518. 65 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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