Jonathan S. Van Buskirk

483 total citations
9 papers, 392 citations indexed

About

Jonathan S. Van Buskirk is a scholar working on Materials Chemistry, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Jonathan S. Van Buskirk has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Condensed Matter Physics and 4 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Jonathan S. Van Buskirk's work include Rare-earth and actinide compounds (3 papers), Magnetic Properties of Alloys (2 papers) and Machine Learning in Materials Science (2 papers). Jonathan S. Van Buskirk is often cited by papers focused on Rare-earth and actinide compounds (3 papers), Magnetic Properties of Alloys (2 papers) and Machine Learning in Materials Science (2 papers). Jonathan S. Van Buskirk collaborates with scholars based in United States. Jonathan S. Van Buskirk's co-authors include Cole D. Fincher, Matt Pharr, Sarbajit Banerjee, David A. Santos, Kelvin Y. Xie, Ankit Verma, Partha P. Mukherjee, Feng Hao, Rachel D. Davidson and Sisi Xiang and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and ACS Energy Letters.

In The Last Decade

Jonathan S. Van Buskirk

8 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan S. Van Buskirk United States 5 334 121 61 58 37 9 392
Shangquan Zhao China 11 377 1.1× 203 1.7× 80 1.3× 21 0.4× 16 0.4× 41 449
Weiwei Cao China 7 266 0.8× 75 0.6× 64 1.0× 79 1.4× 9 0.2× 12 364
Danielle L. Proffit United States 9 354 1.1× 170 1.4× 22 0.4× 178 3.1× 18 0.5× 12 465
Xiucai Sun China 10 295 0.9× 187 1.5× 35 0.6× 125 2.2× 10 0.3× 27 412
Ramona Langner Germany 4 612 1.8× 300 2.5× 178 2.9× 32 0.6× 27 0.7× 6 644
Pirmin Stüble Germany 11 248 0.7× 44 0.4× 111 1.8× 82 1.4× 38 1.0× 21 306
Ayman S. Alofi Saudi Arabia 11 229 0.7× 238 2.0× 13 0.2× 127 2.2× 22 0.6× 19 338
Jin-Young Son Japan 7 542 1.6× 135 1.1× 168 2.8× 173 3.0× 18 0.5× 8 605
Jokin Rikarte Spain 8 428 1.3× 89 0.7× 240 3.9× 54 0.9× 13 0.4× 15 478
Pooja Kumari India 11 299 0.9× 121 1.0× 136 2.2× 46 0.8× 23 0.6× 14 362

Countries citing papers authored by Jonathan S. Van Buskirk

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan S. Van Buskirk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Van Buskirk. 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 Jonathan S. Van Buskirk. The network helps show where Jonathan S. Van Buskirk may publish in the future.

Co-authorship network of co-authors of Jonathan S. Van Buskirk

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

All Works

9 of 9 papers shown
1.
Lee, S., et al.. (2024). Polymorphism within the Quasi-One-Dimensional Au2MP2 (M = Tl, Pb, Pb/Bi, and Bi) Series. Chemistry of Materials. 36(17). 8217–8228. 1 indexed citations
2.
Buskirk, Jonathan S. Van, et al.. (2024). Machine Learning-Based Investigation of Atomic Packing Effects: Chemical Pressures at the Extremes of Intermetallic Complexity. Journal of the American Chemical Society.
3.
Buskirk, Jonathan S. Van, et al.. (2023). The Zintl Concept Applied to Intergrowth Structures: Electron‐Hole Matching, Stacking Preferences, and Chemical Pressures in Pd5InAs. Zeitschrift für anorganische und allgemeine Chemie. 649(17). 1 indexed citations
4.
Buskirk, Jonathan S. Van, et al.. (2023). The Intermetallic Reactivity Database: Compiling Chemical Pressure and Electronic Metrics toward Materials Design and Discovery. Chemistry of Materials. 35(9). 3582–3591. 9 indexed citations
5.
Buskirk, Jonathan S. Van, et al.. (2023). Self-Consistent Chemical Pressure Analysis: Resolving Atomic Packing Effects through the Iterative Partitioning of Space and Energy. Journal of Chemical Theory and Computation. 19(13). 4273–4285. 9 indexed citations
6.
Buskirk, Jonathan S. Van, et al.. (2021). Tutorial on Chemical Pressure Analysis: How Atomic Packing Drives Laves/Zintl Intergrowth in K3Au5Tl. Crystals. 11(8). 906–906. 15 indexed citations
7.
Brown, Timothy D., et al.. (2020). Effect of carbide formation on phase equilibria and compositional modulation of transformation properties in (Mn,Fe)2(P,Si) alloys. Journal of Alloys and Compounds. 830. 154532–154532. 2 indexed citations
8.
Davidson, Rachel D., Ankit Verma, David A. Santos, et al.. (2019). Mapping mechanisms and growth regimes of magnesium electrodeposition at high current densities. Materials Horizons. 7(3). 843–854. 92 indexed citations
9.
Davidson, Rachel D., Ankit Verma, David A. Santos, et al.. (2018). Formation of Magnesium Dendrites during Electrodeposition. ACS Energy Letters. 4(2). 375–376. 263 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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2026