Daniel S. King

1.1k total citations
28 papers, 539 citations indexed

About

Daniel S. King is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Geophysics. According to data from OpenAlex, Daniel S. King has authored 28 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 8 papers in Atomic and Molecular Physics, and Optics and 7 papers in Geophysics. Recurrent topics in Daniel S. King's work include Machine Learning in Materials Science (10 papers), earthquake and tectonic studies (7 papers) and Geological and Geochemical Analysis (7 papers). Daniel S. King is often cited by papers focused on Machine Learning in Materials Science (10 papers), earthquake and tectonic studies (7 papers) and Geological and Geochemical Analysis (7 papers). Daniel S. King collaborates with scholars based in United States, Australia and China. Daniel S. King's co-authors include Laura Gagliardi, D. L. Kohlstedt, M. E. Zimmerman, Chris Marone, B. K. Holtzman, Donald G. Truhlar, Keith A. Klepeis, George E. Gehrels, G. L. Clarke and Matthew R. Hermes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Geophysical Research Atmospheres.

In The Last Decade

Daniel S. King

28 papers receiving 529 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 S. King United States 15 239 144 119 42 37 28 539
Michael J. Bucknum Argentina 10 304 1.3× 384 2.7× 67 0.6× 25 0.6× 19 0.5× 35 742
Lewis J. Conway United Kingdom 9 168 0.7× 195 1.4× 96 0.8× 13 0.3× 9 0.2× 24 393
Beatriz G. del Rio Spain 12 53 0.2× 269 1.9× 150 1.3× 16 0.4× 21 0.6× 25 374
Brian Kolb United States 16 44 0.2× 518 3.6× 268 2.3× 52 1.2× 94 2.5× 18 753
I. A. Fedorov Russia 13 60 0.3× 331 2.3× 148 1.2× 9 0.2× 8 0.2× 70 615
Piero Gasparotto Switzerland 9 29 0.1× 394 2.7× 164 1.4× 12 0.3× 94 2.5× 15 595
Georgios Aprilis Germany 13 257 1.1× 399 2.8× 31 0.3× 19 0.5× 5 0.1× 26 597
Ilgyou Shin United States 12 30 0.1× 374 2.6× 430 3.6× 27 0.6× 16 0.4× 15 706
Debdas Dhabal United States 13 36 0.2× 297 2.1× 93 0.8× 74 1.8× 11 0.3× 25 428
Anastassia Sorkin Singapore 11 21 0.1× 256 1.8× 109 0.9× 10 0.2× 10 0.3× 21 436

Countries citing papers authored by Daniel S. King

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. King

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. King. A scholar is included among the top collaborators of Daniel S. King 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 S. King. Daniel S. King 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.
King, Daniel S., et al.. (2024). Automatic State Interaction with Large Localized Active Spaces for Multimetallic Systems. Journal of Chemical Theory and Computation. 20(11). 4654–4662. 13 indexed citations
2.
King, Daniel S., Fei Wang, James B. Gerken, et al.. (2024). Divergent Bimetallic Mechanisms in Copper(II)-Mediated C–C, N–N, and O–O Oxidative Coupling Reactions. Journal of the American Chemical Society. 146(5). 3521–3530. 1 indexed citations
3.
King, Daniel S., Saumil Chheda, Magali Ferrandon, et al.. (2023). High-Throughput Experimentation, Theoretical Modeling, and Human Intuition: Lessons Learned in Metal–Organic-Framework-Supported Catalyst Design. ACS Central Science. 9(2). 266–276. 16 indexed citations
4.
King, Daniel S., Donald G. Truhlar, & Laura Gagliardi. (2023). Variational Active Space Selection with Multiconfiguration Pair-Density Functional Theory. Journal of Chemical Theory and Computation. 19(22). 8118–8128. 4 indexed citations
6.
King, Daniel S., Matthew R. Hermes, Donald G. Truhlar, & Laura Gagliardi. (2022). Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection. Journal of Chemical Theory and Computation. 18(10). 6065–6076. 27 indexed citations
7.
King, Daniel S., Matthew R. Hermes, Donald G. Truhlar, & Laura Gagliardi. (2022). Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection. Figshare. 1 indexed citations
8.
Hao, Wei, Katherine L. Bay, Caleb F. Harris, et al.. (2021). Probing Catalyst Speciation in Pd-MPAAM-Catalyzed Enantioselective C(sp3)–H Arylation: Catalyst Improvement via Destabilization of Off-Cycle Species. ACS Catalysis. 11(17). 11040–11048. 14 indexed citations
9.
King, Daniel S., Donald G. Truhlar, & Laura Gagliardi. (2021). Machine-Learned Energy Functionals for Multiconfigurational Wave Functions. The Journal of Physical Chemistry Letters. 12(32). 7761–7767. 15 indexed citations
10.
King, Daniel S., et al.. (2021). Incorporation of [Cp*Rh] and [Cp*Ir] Species into Heterobimetallic Complexes via Protonolysis Reactivity and Dioximato Chelation. Inorganic Chemistry. 60(18). 14047–14059. 2 indexed citations
11.
Jeong, WooSeok, Samuel J. Stoneburner, Daniel S. King, et al.. (2020). Automation of Active Space Selection for Multireference Methods via Machine Learning on Chemical Bond Dissociation. Journal of Chemical Theory and Computation. 16(4). 2389–2399. 49 indexed citations
12.
Zeng, Minxiang, Daniel S. King, Dali Huang, et al.. (2019). Iridescence in nematics: Photonic liquid crystals of nanoplates in absence of long-range periodicity. Proceedings of the National Academy of Sciences. 116(37). 18322–18327. 47 indexed citations
13.
Holtzman, B. K., Daniel S. King, & D. L. Kohlstedt. (2012). Effects of stress-driven melt segregation on the viscosity of rocks. Earth and Planetary Science Letters. 359-360. 184–193. 25 indexed citations
14.
King, Daniel S., Saswata Hier‐Majumder, & D. L. Kohlstedt. (2011). An experimental study of the effects of surface tension in homogenizing perturbations in melt fraction. Earth and Planetary Science Letters. 307(3-4). 349–360. 17 indexed citations
15.
King, Daniel S., B. K. Holtzman, & D. L. Kohlstedt. (2011). An experimental investigation of the interactions between reaction-driven and stress-driven melt segregation: 1. Application to mantle melt extraction. Geochemistry Geophysics Geosystems. 12(12). n/a–n/a. 17 indexed citations
16.
King, Daniel S., M. E. Zimmerman, & D. L. Kohlstedt. (2009). Stress-driven Melt Segregation in Partially Molten Olivine-rich Rocks Deformed in Torsion. Journal of Petrology. 51(1-2). 21–42. 62 indexed citations
17.
Klepeis, Keith A., et al.. (2007). Interaction of strong lower and weak middle crust during lithospheric extension in western New Zealand. Tectonics. 26(4). 51 indexed citations
18.
King, Daniel S., et al.. (2006). SHEAR ZONE PROCESSES IN THE MID TO LOWER CRUST AND THE STRUCTURAL EVOLUTION OF CENTRAL FIORDLAND, NEW ZEALAND. 1 indexed citations
19.
King, Daniel S., D. L. Kohlstedt, & M. E. Zimmerman. (2004). Stress-Driven Melt Segregation and Shear Localization in Partially Molten Aggregates: Experiments in Torsion. AGU Fall Meeting Abstracts. 2007. 2 indexed citations
20.
King, Daniel S., et al.. (1982). A simple theoretical model of enhanced transport in disperse two-phase systems in simple shear flow. Am. Soc. Mech. Eng., (Pap.); (United States). 2 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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