Joshua Agar

1.6k total citations
47 papers, 1.1k citations indexed

About

Joshua Agar is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Joshua Agar has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 17 papers in Electrical and Electronic Engineering and 16 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Joshua Agar's work include Ferroelectric and Piezoelectric Materials (24 papers), Multiferroics and related materials (16 papers) and Electronic and Structural Properties of Oxides (9 papers). Joshua Agar is often cited by papers focused on Ferroelectric and Piezoelectric Materials (24 papers), Multiferroics and related materials (16 papers) and Electronic and Structural Properties of Oxides (9 papers). Joshua Agar collaborates with scholars based in United States, Switzerland and South Korea. Joshua Agar's co-authors include Lane W. Martin, Anoop R. Damodaran, Shishir Pandya, J. Karthik, R. V. K. Mangalam, Ruijuan Xu, Sergei V. Kalinin, Liv R. Dedon, Gabriel Velarde and Sahar Saremi and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Joshua Agar

46 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
Joshua Agar United States 19 864 482 408 376 81 47 1.1k
Yann Lamy France 14 475 0.5× 156 0.3× 228 0.6× 406 1.1× 260 3.2× 38 922
Kenji Kawahara Japan 21 1.3k 1.5× 197 0.4× 382 0.9× 706 1.9× 353 4.4× 85 1.8k
Alireza Nojeh Canada 20 1.2k 1.4× 92 0.2× 336 0.8× 450 1.2× 306 3.8× 106 1.6k
Alexander L. Kitt United States 5 1.1k 1.3× 185 0.4× 591 1.4× 594 1.6× 263 3.2× 9 1.4k
Zonghai Hu China 16 927 1.1× 249 0.5× 401 1.0× 546 1.5× 321 4.0× 39 1.4k
Mathias Rommel Germany 19 371 0.4× 72 0.1× 508 1.2× 947 2.5× 327 4.0× 141 1.4k
Kundan Chaudhary United States 15 388 0.4× 357 0.7× 465 1.1× 202 0.5× 319 3.9× 27 1.1k
Frank Fournel France 22 366 0.4× 140 0.3× 555 1.4× 1.4k 3.7× 610 7.5× 194 1.8k
Davide Mencarelli Italy 20 499 0.6× 248 0.5× 526 1.3× 865 2.3× 331 4.1× 148 1.3k

Countries citing papers authored by Joshua Agar

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Agar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Agar

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Agar. A scholar is included among the top collaborators of Joshua Agar 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 Joshua Agar. Joshua Agar 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.
Kang, Chi Jung, Joshua Agar, Chris Wolverton, et al.. (2025). Artificial Intelligence for Materials Discovery, Development, and Optimization. ACS Nano. 19(30). 27116–27158. 11 indexed citations
2.
He, Jiali, Z. Yan, Edith Bourret, et al.. (2024). Imaging and structure analysis of ferroelectric domains, domain walls, and vortices by scanning electron diffraction. npj Computational Materials. 10(1). 2 indexed citations
3.
Hansen, C., Nhan Viet Tran, Joshua Agar, et al.. (2024). Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak. Review of Scientific Instruments. 95(7). 2 indexed citations
4.
5.
Baldi, Tommaso Lisini, J. Ngadiuba, Nhan Viet Tran, et al.. (2024). Reliable edge machine learning hardware for scientific applications. eScholarship (California Digital Library). 1–5. 1 indexed citations
6.
Kalinin, Sergei V., Debangshu Mukherjee, Kevin M. Roccapriore, et al.. (2023). Machine learning for automated experimentation in scanning transmission electron microscopy. npj Computational Materials. 9(1). 49 indexed citations
7.
Gaponenko, Iaroslav, et al.. (2023). The Effect of Chemical Environment and Temperature on the Domain Structure of Free‐Standing BaTiO3 via In Situ STEM. Advanced Science. 10(29). e2303028–e2303028. 6 indexed citations
8.
Agar, Joshua, et al.. (2022). Why it is Unfortunate that Linear Machine Learning “Works” so well in Electromechanical Switching of Ferroelectric Thin Films. Advanced Materials. 34(47). e2202814–e2202814. 3 indexed citations
9.
Gaponenko, Iaroslav, et al.. (2021). Local Probe Comparison of Ferroelectric Switching Event Statistics in the Creep and Depinning Regimes in Pb(Zr0.2Ti0.8)O3 Thin Films. Physical Review Letters. 126(11). 117601–117601. 18 indexed citations
10.
Evans, Donald M., Didrik R. Småbråten, S. Krohns, et al.. (2020). Application of a long short-term memory for deconvoluting conductance contributions at charged ferroelectric domain walls. npj Computational Materials. 6(1). 19 indexed citations
11.
Agar, Joshua, Shishir Pandya, Stéfan van der Walt, et al.. (2019). Revealing ferroelectric switching character using deep recurrent neural networks. Nature Communications. 10(1). 4809–4809. 37 indexed citations
12.
Pandya, Shishir, Gabriel Velarde, Ran Gao, et al.. (2018). Understanding the Role of Ferroelastic Domains on the Pyroelectric and Electrocaloric Effects in Ferroelectric Thin Films. Advanced Materials. 31(5). e1803312–e1803312. 46 indexed citations
13.
Ievlev, Anton V., Marius Chyasnavichyus, Donovan N. Leonard, et al.. (2018). Subtractive fabrication of ferroelectric thin films with precisely controlled thickness. Nanotechnology. 29(15). 155302–155302. 7 indexed citations
14.
Ievlev, Anton V., Joshua Agar, Gabriel Velarde, et al.. (2018). Nanoscale Electrochemical Phenomena of Polarization Switching in Ferroelectrics. ACS Applied Materials & Interfaces. 10(44). 38217–38222. 14 indexed citations
15.
Saremi, Sahar, Ruijuan Xu, Frances I. Allen, et al.. (2018). Local control of defects and switching properties in ferroelectric thin films. Physical Review Materials. 2(8). 44 indexed citations
16.
Damodaran, Anoop R., Shishir Pandya, Yubo Qi, et al.. (2017). Large polarization gradients and temperature-stable responses in compositionally-graded ferroelectrics. Nature Communications. 8(1). 14961–14961. 69 indexed citations
17.
Damodaran, Anoop R., Joshua Agar, Shishir Pandya, et al.. (2016). New modalities of strain-control of ferroelectric thin films. Journal of Physics Condensed Matter. 28(26). 263001–263001. 100 indexed citations
18.
Pandya, Shishir, Anoop R. Damodaran, Ruijuan Xu, et al.. (2016). Strain-induced growth instability and nanoscale surface patterning in perovskite thin films. Scientific Reports. 6(1). 26075–26075. 24 indexed citations
19.
Mangalam, R. V. K., J. Karthik, Anoop R. Damodaran, Joshua Agar, & Lane W. Martin. (2013). Unexpected Crystal and Domain Structures and Properties in Compositionally Graded PbZr1‐xTixO3 Thin Films. Advanced Materials. 25(12). 1761–1767. 75 indexed citations
20.
Agar, Joshua, et al.. (2010). Novel PDMS(silicone)-in-PDMS(silicone): Low cost flexible electronics without metallization. 1226–1230. 15 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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