T. Dytrych

1.6k total citations
67 papers, 1.1k citations indexed

About

T. Dytrych is a scholar working on Nuclear and High Energy Physics, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, T. Dytrych has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Nuclear and High Energy Physics, 28 papers in Spectroscopy and 25 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in T. Dytrych's work include Nuclear physics research studies (52 papers), Quantum Chromodynamics and Particle Interactions (42 papers) and Advanced NMR Techniques and Applications (28 papers). T. Dytrych is often cited by papers focused on Nuclear physics research studies (52 papers), Quantum Chromodynamics and Particle Interactions (42 papers) and Advanced NMR Techniques and Applications (28 papers). T. Dytrych collaborates with scholars based in United States, Czechia and Mexico. T. Dytrych's co-authors include J. P. Draayer, Kristina D. Launey, C. Bahri, James P. Vary, Daniel Langr, K. D. Sviratcheva, Shi‐Hai Dong, Robert Baker, M. A. Caprio and G. H. Sargsyan and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Letters B.

In The Last Decade

T. Dytrych

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Dytrych United States 17 862 533 342 141 64 67 1.1k
Kristina D. Launey United States 18 869 1.0× 577 1.1× 317 0.9× 171 1.2× 59 0.9× 73 1.1k
J. P. Draayer United States 16 793 0.9× 489 0.9× 313 0.9× 174 1.2× 40 0.6× 56 1.0k
André Walker-Loud United States 36 2.9k 3.4× 383 0.7× 52 0.2× 50 0.4× 43 0.7× 102 3.1k
F. Arickx Belgium 15 337 0.4× 365 0.7× 158 0.5× 80 0.6× 13 0.2× 52 597
Saul D. Cohen United States 21 1.6k 1.9× 235 0.4× 35 0.1× 37 0.3× 29 0.5× 39 1.8k
Gary R. Goldstein United States 25 1.4k 1.6× 223 0.4× 124 0.4× 74 0.5× 97 1.5× 116 1.7k
Titus Morris United States 11 737 0.9× 743 1.4× 158 0.5× 39 0.3× 477 7.5× 20 1.3k
A. F. R. de Toledo Piza Brazil 20 460 0.5× 920 1.7× 128 0.4× 254 1.8× 311 4.9× 94 1.2k
D. Galetti Brazil 14 385 0.4× 626 1.2× 57 0.2× 187 1.3× 239 3.7× 53 906
Alessandro Roggero United States 19 410 0.5× 536 1.0× 49 0.1× 53 0.4× 380 5.9× 42 930

Countries citing papers authored by T. Dytrych

Since Specialization
Citations

This map shows the geographic impact of T. Dytrych'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 T. Dytrych with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Dytrych more than expected).

Fields of papers citing papers by T. Dytrych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Dytrych

This figure shows the co-authorship network connecting the top 25 collaborators of T. Dytrych. A scholar is included among the top collaborators of T. Dytrych 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 T. Dytrych. T. Dytrych 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.
Yoshida, K., Kazuyuki Ogata, Kristina D. Launey, et al.. (2025). Ab initio informed 20Ne(p, pα)16O reaction elucidates the emergence of alpha clustering from chiral potentials. Physics Letters B. 866. 139563–139563.
2.
Baker, Robert, et al.. (2025). Response functions and giant monopole resonances for light to medium-mass nuclei from the ab initio symmetry-adapted no-core–shell model. Journal of Physics G Nuclear and Particle Physics. 52(3). 35107–35107. 1 indexed citations
3.
Marley, S. T., et al.. (2025). Quantifying uncertainties in α-nucleus reaction dynamics informed from first principles. Nuclear Physics A. 1064. 123203–123203.
4.
Draayer, J. P., et al.. (2024). Coupling and recoupling coefficients for Wigner’s U(4) supermultiplet symmetry. The European Physical Journal Plus. 139(10). 1 indexed citations
5.
Launey, Kristina D., et al.. (2024). Uncertainty quantification of collective nuclear observables from the chiral potential parametrization. Physica Scripta. 99(12). 125311–125311. 1 indexed citations
6.
Launey, Kristina D., et al.. (2023). Ab initio symmetry-adapted emulator for studying emergent collectivity and clustering in nuclei. Frontiers in Physics. 11. 7 indexed citations
7.
Langr, Daniel & T. Dytrych. (2023). Parallel multithreaded deduplication of data sequences in nuclear structure calculations. The International Journal of High Performance Computing Applications. 38(1). 5–16.
8.
Sargsyan, G. H., Kristina D. Launey, M. T. Burkey, et al.. (2022). Impact of Clustering on the Li8 β Decay and Recoil Form Factors. Physical Review Letters. 128(20). 202503–202503. 16 indexed citations
9.
Baker, Robert, et al.. (2020). Benchmark calculations of electromagnetic sum rules with a symmetry-adapted basis and hyperspherical harmonics. Physical review. C. 102(1). 17 indexed citations
10.
Caprio, M. A., et al.. (2020). EmergentSp(3,R)Dynamical Symmetry in the Nuclear Many-Body System from anAb InitioDescription. Physical Review Letters. 125(10). 102505–102505. 18 indexed citations
11.
Draayer, J. P., et al.. (2019). Overlaps of deformed and non-deformed harmonic oscillator basis states. Physics Letters A. 384(7). 126162–126162. 1 indexed citations
12.
Launey, Kristina D., T. Dytrych, J. P. Draayer, et al.. (2017). Understanding emergent collectivity and clustering in nuclei from a symmetry-based no-core shell-model perspective. Physical review. C. 95(4). 15 indexed citations
13.
Langr, Daniel, et al.. (2016). Block Iterators for Sparse Matrices. SHILAP Revista de lepidopterología. 8. 695–704. 4 indexed citations
14.
Langr, Daniel, Pavel Tvrdı́k, T. Dytrych, & J. P. Draayer. (2014). Algorithm 947. ACM Transactions on Mathematical Software. 41(1). 1–26. 6 indexed citations
15.
Dytrych, T., Kristina D. Launey, J. P. Draayer, et al.. (2013). Collective Modes in Light Nuclei from First Principles. Physical Review Letters. 111(25). 252501–252501. 95 indexed citations
16.
Langr, Daniel, et al.. (2012). Adaptive-blocking hierarchical storage format for sparse matrices. Civil War Book Review. 545–551. 13 indexed citations
17.
Launey, Kristina D., T. Dytrych, & J. P. Draayer. (2012). Similarity renormalization group and many-body effects in multiparticle systems. Physical Review C. 85(4). 14 indexed citations
18.
Draayer, J. P., T. Dytrych, Kristina D. Launey, & Daniel Langr. (2012). Symmetry-adapted no-core shell model applications for light nuclei with QCD-inspired interactions. Progress in Particle and Nuclear Physics. 67(2). 516–520. 17 indexed citations
19.
Launey, Kristina D., et al.. (2011). A Microscopic Description of the Elusive Hoyle State. Civil War Book Review. 1 indexed citations
20.
Dytrych, T., K. D. Sviratcheva, C. Bahri, J. P. Draayer, & James P. Vary. (2007). Evidence for Symplectic Symmetry inAb InitioNo-Core Shell Model Results for Light Nuclei. Physical Review Letters. 98(16). 162503–162503. 75 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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