William Ratcliff

4.4k total citations
74 papers, 3.0k citations indexed

About

William Ratcliff is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, William Ratcliff has authored 74 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electronic, Optical and Magnetic Materials, 41 papers in Condensed Matter Physics and 29 papers in Materials Chemistry. Recurrent topics in William Ratcliff's work include Multiferroics and related materials (32 papers), Advanced Condensed Matter Physics (28 papers) and Magnetic and transport properties of perovskites and related materials (20 papers). William Ratcliff is often cited by papers focused on Multiferroics and related materials (32 papers), Advanced Condensed Matter Physics (28 papers) and Magnetic and transport properties of perovskites and related materials (20 papers). William Ratcliff collaborates with scholars based in United States, South Korea and France. William Ratcliff's co-authors include C. Broholm, V. Kiryukhin, Q. Huang, S-W. Cheong, S.-H. Lee, G. Gašparović, J. W. Lynn, S.-W. Cheong, S. H. Lee and S-W. Cheong and has published in prestigious journals such as Nature, Physical Review Letters and Nano Letters.

In The Last Decade

William Ratcliff

71 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Ratcliff United States 31 2.4k 1.8k 1.2k 284 223 74 3.0k
Ming Yi United States 28 2.4k 1.0× 2.1k 1.1× 584 0.5× 539 1.9× 153 0.7× 95 3.3k
Z. Hussain United States 10 822 0.3× 854 0.5× 1.0k 0.9× 1.1k 4.0× 133 0.6× 19 2.1k
Fedor Balakirev United States 34 2.8k 1.2× 3.5k 2.0× 740 0.6× 976 3.4× 208 0.9× 121 4.5k
Z. Islam United States 27 1.9k 0.8× 2.0k 1.1× 822 0.7× 474 1.7× 295 1.3× 90 2.9k
A. V. Boris Germany 33 2.6k 1.1× 2.1k 1.2× 1.2k 1.0× 472 1.7× 393 1.8× 78 3.3k
A. Wiśniewski Poland 28 2.2k 0.9× 2.3k 1.3× 888 0.8× 417 1.5× 169 0.8× 209 3.1k
G. J. MacDougall United States 23 1.5k 0.6× 1.3k 0.7× 708 0.6× 318 1.1× 282 1.3× 54 2.1k
Won Nam Kang South Korea 26 1.6k 0.7× 2.6k 1.4× 670 0.6× 219 0.8× 173 0.8× 166 2.9k
K. Deguchi Japan 22 1.4k 0.6× 1.3k 0.7× 586 0.5× 250 0.9× 154 0.7× 130 2.1k

Countries citing papers authored by William Ratcliff

Since Specialization
Citations

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

Fields of papers citing papers by William Ratcliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Ratcliff

This figure shows the co-authorship network connecting the top 25 collaborators of William Ratcliff. A scholar is included among the top collaborators of William Ratcliff 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 William Ratcliff. William Ratcliff 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.
Butler, J. Corey, et al.. (2024). Data science education in undergraduate physics: Lessons learned from a community of practice. American Journal of Physics. 92(9). 655–662. 1 indexed citations
2.
McDannald, Austin, Matthias Frontzek, A. T. Savici, et al.. (2023). ANDiE the Autonomous Neutron Diffraction Explorer. Neutron News. 34(2). 6–7. 1 indexed citations
3.
Kim, M. G., William Ratcliff, Daniel M. Pajerowski, et al.. (2021). Magnetic ordering and structural distortion in a PrFeAsO single crystal studied by neutron and x-ray scattering. Physical review. B.. 103(17). 1 indexed citations
4.
Balakrishnan, Purnima P., Yu-Che Chiu, Wenkai Zheng, et al.. (2021). Magnetic field-induced non-trivial electronic topology in Fe3−xGeTe2. Applied Physics Reviews. 8(4). 17 indexed citations
5.
Yang, Chao‐Yao, Lei Pan, Alexander J. Grutter, et al.. (2020). Termination switching of antiferromagnetic proximity effect in topological insulator. Science Advances. 6(33). eaaz8463–eaaz8463. 27 indexed citations
6.
Liu, I-Lin, Colin Heikes, Taner Yildirim, et al.. (2020). Quantum oscillations from networked topological interfaces in a Weyl semimetal. npj Quantum Materials. 5(1). 8 indexed citations
7.
Leão, Juscelino B., et al.. (2020). Evolution of the magnetic properties in the antiferromagnet Ce2RhIn8 simultaneously doped with Cd and Ir. Physical review. B.. 102(19). 2 indexed citations
8.
Thomas, S. M., Juscelino B. Leão, William Ratcliff, et al.. (2020). Electronic and magnetic properties of stoichiometric CeAuBi2. Physical review. B.. 101(21). 7 indexed citations
9.
Wu, Yingying, Gen Yin, Lei Pan, et al.. (2020). Large exchange splitting in monolayer graphene magnetized by an antiferromagnet. Nature Electronics. 3(10). 604–611. 50 indexed citations
10.
Jamer, Michelle E., Kathryn Krycka, Elaf A. Anber, et al.. (2019). Exchange Bias in Bulk α-Fe/γ-Fe70Mn30 Nanocomposites for Permanent Magnet Applications. ACS Applied Nano Materials. 2(4). 1940–1950. 9 indexed citations
11.
Janoschek, M., Pinaki Das, Joel S. Helton, et al.. (2015). Chemical pressure tuning of URu2Si2 via isoelectronic substitution of Ru with Fe. Bulletin of the American Physical Society. 2015. 4 indexed citations
12.
Disseler, Steven, J. A. Borchers, Charles M. Brooks, et al.. (2015). Magnetic Structure and Ordering of Multiferroic HexagonalLuFeO3. Physical Review Letters. 114(21). 217602–217602. 92 indexed citations
13.
Saparov, Bayrammurad, C. Cantoni, Minghu Pan, et al.. (2014). Complex structures of different CaFe2As2 samples. Scientific Reports. 4(1). 4120–4120. 38 indexed citations
14.
Ratcliff, William, et al.. (2012). Investigation of Electric Field Control of Antiferromagnetic Domains in Epitaxial BiFeO3 Thin Films Using Neutron Diffraction. Bulletin of the American Physical Society. 2012. 2 indexed citations
15.
Kiryukhin, V., et al.. (2011). Temperature-dependent properties of the magnetic order in single-crystal BiFeO$_3$. Bulletin of the American Physical Society. 2011. 1 indexed citations
16.
Nambu, Yusuke, Liang Zhao, E. Morosan, et al.. (2011). Incommensurate Magnetism in FeAs Strips: Neutron Scattering fromCaFe4As3. Physical Review Letters. 106(3). 37201–37201. 14 indexed citations
17.
Chi, Songxue, Neeraj Kumar, Ying Chen, et al.. (2010). Evolution of the bulk properties, structure, magnetic order, and superconductivity with Ni doping in CaFe$_{2-x}$Ni$_{x}$As$_{2}$. Bulletin of the American Physical Society. 2010. 2 indexed citations
18.
Kiryukhin, V., Seongsu Lee, William Ratcliff, et al.. (2009). Order by Static Disorder in the Ising Chain MagnetCa3Co2−xMnxO6. Physical Review Letters. 102(18). 187202–187202. 47 indexed citations
19.
Lashley, J. C., S. M. Shapiro, Barry Winn, et al.. (2008). Observation of a Continuous Phase Transition in a Shape-Memory Alloy. Physical Review Letters. 101(13). 135703–135703. 24 indexed citations
20.
Datta, Siddhartha A.K., Joseph E. Curtis, William Ratcliff, et al.. (2006). Conformation of the HIV-1 Gag Protein in Solution. Journal of Molecular Biology. 365(3). 812–824. 115 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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