Jaron T. Krogel

1.3k total citations
67 papers, 898 citations indexed

About

Jaron T. Krogel is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Jaron T. Krogel has authored 67 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Materials Chemistry, 24 papers in Atomic and Molecular Physics, and Optics and 20 papers in Condensed Matter Physics. Recurrent topics in Jaron T. Krogel's work include Advanced Chemical Physics Studies (19 papers), Magnetic and transport properties of perovskites and related materials (16 papers) and Machine Learning in Materials Science (16 papers). Jaron T. Krogel is often cited by papers focused on Advanced Chemical Physics Studies (19 papers), Magnetic and transport properties of perovskites and related materials (16 papers) and Machine Learning in Materials Science (16 papers). Jaron T. Krogel collaborates with scholars based in United States, Finland and Japan. Jaron T. Krogel's co-authors include Paul R. C. Kent, Fernando A. Reboredo, Olle Heinonen, Panchapakesan Ganesh, Juan A. Santana, Anouar Benali, Kayahan Saritas, Janakiraman Balachandran, Ilkka Kylänpää and Jeongnim Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Jaron T. Krogel

60 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaron T. Krogel United States 18 603 279 263 199 192 67 898
Chang‐Jong Kang South Korea 17 521 0.9× 623 2.2× 387 1.5× 607 3.1× 273 1.4× 67 1.2k
Karl-Heinz Höck Germany 10 329 0.5× 409 1.5× 287 1.1× 344 1.7× 160 0.8× 17 931
Shao-Yi Wu China 16 915 1.5× 377 1.4× 194 0.7× 102 0.5× 301 1.6× 167 1.2k
Iurii Timrov Switzerland 18 684 1.1× 397 1.4× 313 1.2× 305 1.5× 352 1.8× 39 1.2k
Egor Trushin Germany 10 421 0.7× 124 0.4× 273 1.0× 93 0.5× 199 1.0× 26 700
Menno Bokdam Netherlands 18 1.3k 2.2× 192 0.7× 339 1.3× 89 0.4× 949 4.9× 27 1.6k
Derek Vigil‐Fowler United States 14 487 0.8× 127 0.5× 273 1.0× 66 0.3× 359 1.9× 26 802
Shruba Gangopadhyay United States 13 436 0.7× 297 1.1× 356 1.4× 218 1.1× 196 1.0× 19 829
Thomas Archer Ireland 18 739 1.2× 532 1.9× 321 1.2× 201 1.0× 299 1.6× 27 1.1k
Anouar Benali United States 16 418 0.7× 97 0.3× 362 1.4× 66 0.3× 115 0.6× 44 713

Countries citing papers authored by Jaron T. Krogel

Since Specialization
Citations

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

Fields of papers citing papers by Jaron T. Krogel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaron T. Krogel

This figure shows the co-authorship network connecting the top 25 collaborators of Jaron T. Krogel. A scholar is included among the top collaborators of Jaron T. Krogel 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 Jaron T. Krogel. Jaron T. Krogel 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.
Pham, Anh, et al.. (2025). Diffusion Quantum Monte Carlo Benchmarking of Magnetic Moments in MnBi2Te4. The Journal of Physical Chemistry C. 129(14). 7063–7072.
2.
Krogel, Jaron T., Tom Ichibha, Kayahan Saritas, Mina Yoon, & Fernando A. Reboredo. (2024). Predictions of delafossite-hosted honeycomb and kagome phases. Physical Chemistry Chemical Physics. 26(10). 8327–8333.
3.
Kang, Seoung‐Hun, et al.. (2024). Exploring interlayer coupling in the twisted bilayer PtTe2. Physical Review Research. 6(3). 2 indexed citations
4.
Kent, Paul R. C., et al.. (2024). Force-Free Identification of Minimum-Energy Pathways and Transition States for Stochastic Electronic Structure Theories. Journal of Chemical Theory and Computation. 20(17). 7416–7429.
5.
Shin, Hyeondeok, Panchapakesan Ganesh, Paul R. C. Kent, et al.. (2024). DFT+U and quantum Monte Carlo study of electronic and optical properties of AgNiO2 and AgNi1−xCoxO2 delafossite. Physical Chemistry Chemical Physics. 26(8). 6967–6976.
6.
Huang, Bing, O. Anatole von Lilienfeld, Jaron T. Krogel, & Anouar Benali. (2023). Toward DMC Accuracy Across Chemical Space with Scalable Δ-QML. Journal of Chemical Theory and Computation. 19(6). 1711–1721. 14 indexed citations
7.
Shin, Hyeondeok, et al.. (2023). Structural Stability of Graphene-Supported Pt Layers: Diffusion Monte Carlo and Density Functional Theory Calculations. The Journal of Physical Chemistry C. 127(37). 18630–18640. 4 indexed citations
8.
Mandal, Subhasish, et al.. (2023). The role of electron correlations in the electronic structure of putative Chern magnet TbMn6Sn6. npj Quantum Materials. 8(1). 6 indexed citations
9.
Krogel, Jaron T., et al.. (2022). A new generation of effective core potentials from correlated and spin–orbit calculations: Selected heavy elements. The Journal of Chemical Physics. 157(5). 54101–54101. 15 indexed citations
10.
Ryczko, Kevin, Jaron T. Krogel, & Isaac Tamblyn. (2022). Machine Learning Diffusion Monte Carlo Energies. Journal of Chemical Theory and Computation. 18(12). 7695–7701. 12 indexed citations
11.
Reboredo, Fernando A., et al.. (2022). High Accuracy Transition Metal Effective Cores for the Many-Body Diffusion Monte Carlo Method. Journal of Chemical Theory and Computation. 18(2). 828–839. 2 indexed citations
12.
Hu, Guoxiang, et al.. (2021). A combined first principles study of the structural, magnetic, and phonon properties of monolayer CrI3. The Journal of Chemical Physics. 156(1). 14707–14707. 33 indexed citations
13.
Shin, Hyeondeok, et al.. (2021). Optimized structure and electronic band gap of monolayer GeSe from quantum Monte Carlo methods. Physical Review Materials. 5(2). 23 indexed citations
14.
Krogel, Jaron T. & Fernando A. Reboredo. (2020). Hybridizing pseudo-Hamiltonians and non-local pseudopotentials in diffusion Monte Carlo. The Journal of Chemical Physics. 153(10). 104111–104111. 6 indexed citations
15.
Shin, Hyeondeok, Jaron T. Krogel, Paul R. C. Kent, Anouar Benali, & Olle Heinonen. (2020). Structural and optical properties of bulk and monolayer GeSe : A Quantum Monte Carlo Study. Bulletin of the American Physical Society. 1 indexed citations
16.
Benali, Anouar, Kenneth D. Jordan, Thomas Applencourt, et al.. (2020). Toward a systematic improvement of the fixed-node approximation in diffusion Monte Carlo for solids—A case study in diamond. The Journal of Chemical Physics. 153(18). 184111–184111. 15 indexed citations
17.
Sharma, Yogesh, Janakiraman Balachandran, Changhee Sohn, et al.. (2018). Nanoscale Control of Oxygen Defects and Metal–Insulator Transition in Epitaxial Vanadium Dioxides. ACS Nano. 12(7). 7159–7166. 56 indexed citations
18.
Krogel, Jaron T., Juan A. Santana, Paul R. C. Kent, & Fernando A. Reboredo. (2015). Pseudopotentials for quantum Monte Carlo calculations of transition metal oxides. Bulletin of the American Physical Society. 2015. 1 indexed citations
19.
Mitra, Chandrima, et al.. (2015). Quantum Monte Carlo calculations of structural and electronic properties in the correlated oxide NiO. Bulletin of the American Physical Society. 2015. 1 indexed citations
20.
Krogel, Jaron T., Jeongnim Kim, & David M. Ceperley. (2013). Prospects for efficient QMC defect calculations: the energy density applied to Ge self-interstitials. Bulletin of the American Physical Society. 2013. 1 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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