Stefan Seritan

1.1k total citations · 1 hit paper
26 papers, 691 citations indexed

About

Stefan Seritan is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Stefan Seritan has authored 26 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 8 papers in Materials Chemistry and 6 papers in Artificial Intelligence. Recurrent topics in Stefan Seritan's work include Machine Learning in Materials Science (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Advanced Chemical Physics Studies (5 papers). Stefan Seritan is often cited by papers focused on Machine Learning in Materials Science (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Advanced Chemical Physics Studies (5 papers). Stefan Seritan collaborates with scholars based in United States, Sweden and Italy. Stefan Seritan's co-authors include Todd J. Martı́nez, B. Scott Fales, Edward G. Hohenstein, Nathan Luehr, Christoph Bannwarth, Chenchen Song, James W. Snyder, A.V. Titov, Sara Kokkila-Schumacher and Ivan S. Ufimtsev and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Stefan Seritan

25 papers receiving 675 citations

Hit Papers

TeraChem: A graphical processing unit‐accelerated electro... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Stefan Seritan
James W. Snyder United States
David H. P. Turban United Kingdom
Andrew E. Sifain United States
B. Scott Fales United States
Uriel N. Morzan Argentina
Alon Henson United Kingdom
James W. Snyder United States
Stefan Seritan
Citations per year, relative to Stefan Seritan Stefan Seritan (= 1×) peers James W. Snyder

Countries citing papers authored by Stefan Seritan

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Seritan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Seritan

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Seritan. A scholar is included among the top collaborators of Stefan Seritan 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 Stefan Seritan. Stefan Seritan 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
1.
Seritan, Stefan, et al.. (2024). QuTree: A tree tensor network package. The Journal of Chemical Physics. 160(11). 3 indexed citations
2.
Naik, Ravi, Akel Hashim, Jean-Loup Ville, et al.. (2023). Demonstrating Scalable Randomized Benchmarking of Universal Gate Sets. Physical Review X. 13(4). 7 indexed citations
3.
Nielsen, Erik, et al.. (2023). Probing logical error models with gate set tomography. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
4.
Hashim, Akel, Stefan Seritan, Timothy Proctor, et al.. (2023). Benchmarking quantum logic operations relative to thresholds for fault tolerance. npj Quantum Information. 9(1). 6 indexed citations
5.
Raucci, Umberto, et al.. (2023). Interactive Quantum Chemistry Enabled by Machine Learning, Graphical Processing Units, and Cloud Computing. Annual Review of Physical Chemistry. 74(1). 313–336. 10 indexed citations
6.
Seritan, Stefan, et al.. (2023). Quantifying T-gate-count improvements for ground-state-energy estimation with near-optimal state preparation. Physical review. A. 107(4). 10 indexed citations
7.
Rudinger, Kenneth, et al.. (2023). Near-Minimal Gate Set Tomography Experiment Designs. 1422–1432. 2 indexed citations
8.
Proctor, Timothy, Stefan Seritan, Kenneth Rudinger, et al.. (2022). Scalable Randomized Benchmarking of Quantum Computers Using Mirror Circuits. Physical Review Letters. 129(15). 150502–150502. 41 indexed citations
9.
Raucci, Umberto, et al.. (2021). Voice-controlled quantum chemistry. Nature Computational Science. 1(1). 42–45. 13 indexed citations
10.
Seritan, Stefan, et al.. (2021). InteraChem: Virtual Reality Visualizer for Reactive Interactive Molecular Dynamics. Journal of Chemical Education. 98(11). 3486–3492. 25 indexed citations
11.
Brown, Cameron L., Brandon H. Bowser, Jan Meisner, et al.. (2021). Substituent Effects in Mechanochemical Allowed and Forbidden Cyclobutene Ring-Opening Reactions. Journal of the American Chemical Society. 143(10). 3846–3855. 49 indexed citations
12.
Seritan, Stefan, Christoph Bannwarth, B. Scott Fales, et al.. (2020). TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics. Wiley Interdisciplinary Reviews Computational Molecular Science. 11(2). 215 indexed citations breakdown →
13.
Fales, B. Scott, et al.. (2020). Performance of Coupled-Cluster Singles and Doubles on Modern Stream Processing Architectures. Journal of Chemical Theory and Computation. 16(7). 4021–4028. 22 indexed citations
14.
Seritan, Stefan, Christoph Bannwarth, B. Scott Fales, et al.. (2020). TeraChem: Accelerating electronic structure and ab initio molecular dynamics with graphical processing units. The Journal of Chemical Physics. 152(22). 224110–224110. 114 indexed citations
15.
Seritan, Stefan, Keiran C. Thompson, & Todd J. Martı́nez. (2020). TeraChem Cloud: A High-Performance Computing Service for Scalable Distributed GPU-Accelerated Electronic Structure Calculations. Journal of Chemical Information and Modeling. 60(4). 2126–2137. 25 indexed citations
16.
Nielsen, Erik, Robin Blume-Kohout, Kenneth Rudinger, et al.. (2019). Python GST Implementation (PyGSTi) v. 0.9. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
17.
Seritan, Andreea L. & Stefan Seritan. (2016). Geriatric Psychopharmacology in Acute Settings. 4(2). 112–118. 1 indexed citations
18.
Goldsmith, Bryan R., et al.. (2015). Rate-Enhancing Roles of Water Molecules in Methyltrioxorhenium-Catalyzed Olefin Epoxidation by Hydrogen Peroxide. Journal of the American Chemical Society. 137(30). 9604–9616. 35 indexed citations
19.
Seritan, Stefan, et al.. (2015). A design equation for low dosage additives that accelerate nucleation. Faraday Discussions. 179. 329–341. 17 indexed citations
20.
Seritan, Andreea L., et al.. (2013). Psychiatric Disorders Associated with FXTAS. Current Psychiatry Reviews. 9(1). 59–64. 19 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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