Serge Nakhmanson

2.9k total citations
79 papers, 2.1k citations indexed

About

Serge Nakhmanson is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Serge Nakhmanson has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Materials Chemistry, 31 papers in Electronic, Optical and Magnetic Materials and 26 papers in Biomedical Engineering. Recurrent topics in Serge Nakhmanson's work include Ferroelectric and Piezoelectric Materials (37 papers), Multiferroics and related materials (25 papers) and Acoustic Wave Resonator Technologies (15 papers). Serge Nakhmanson is often cited by papers focused on Ferroelectric and Piezoelectric Materials (37 papers), Multiferroics and related materials (25 papers) and Acoustic Wave Resonator Technologies (15 papers). Serge Nakhmanson collaborates with scholars based in United States, Czechia and United Kingdom. Serge Nakhmanson's co-authors include Marco Buongiorno Nardelli, J. Bernholc, Karin M. Rabe, David Vanderbilt, D. A. Drabold, Vincent Meunier, Arrigo Calzolari, Krishna Chaitanya Pitike, Seungbum Hong and Ho Nyung Lee and has published in prestigious journals such as Physical Review Letters, Nature Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Serge Nakhmanson

76 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serge Nakhmanson United States 26 1.7k 794 631 598 196 79 2.1k
Namsoo Shin South Korea 25 1.4k 0.8× 815 1.0× 297 0.5× 633 1.1× 123 0.6× 52 2.0k
Alexander Tkach Portugal 30 1.9k 1.1× 1.3k 1.6× 432 0.7× 1.0k 1.7× 213 1.1× 110 2.4k
Paul G. Clem United States 32 1.7k 1.0× 1.1k 1.4× 1.1k 1.7× 1.3k 2.2× 433 2.2× 102 3.1k
V. V. Lemanov Russia 25 2.3k 1.4× 958 1.2× 838 1.3× 960 1.6× 321 1.6× 172 2.6k
R. S. Katiyar Puerto Rico 29 2.7k 1.6× 2.1k 2.7× 434 0.7× 918 1.5× 192 1.0× 78 3.2k
A. K. Sood India 21 1.0k 0.6× 339 0.4× 475 0.8× 792 1.3× 288 1.5× 43 1.7k
Nobuyuki Zettsu Japan 28 979 0.6× 716 0.9× 470 0.7× 1.2k 2.0× 163 0.8× 112 2.4k
Chae Il Cheon South Korea 24 1.2k 0.7× 1.1k 1.4× 308 0.5× 558 0.9× 222 1.1× 104 1.7k
Andrew C. Lang United States 17 1.6k 1.0× 488 0.6× 312 0.5× 662 1.1× 82 0.4× 55 2.1k

Countries citing papers authored by Serge Nakhmanson

Since Specialization
Citations

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

Fields of papers citing papers by Serge Nakhmanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serge Nakhmanson

This figure shows the co-authorship network connecting the top 25 collaborators of Serge Nakhmanson. A scholar is included among the top collaborators of Serge Nakhmanson 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 Serge Nakhmanson. Serge Nakhmanson 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.
Alpay, S. P., et al.. (2024). Extrinsic dielectric response due to domain wall motion in ferroelectric BaTiO 3 . SHILAP Revista de lepidopterología. 5. 100016–100016. 4 indexed citations
2.
Roshdy, Mohamed A., Tian Chen, Serge Nakhmanson, & Osama R. Bilal. (2023). Tunable ferroelectric auxetic metamaterials for guiding elastic waves in three-dimensions. Extreme Mechanics Letters. 59. 101966–101966. 14 indexed citations
3.
Hagerstrom, Aaron M., et al.. (2023). Modeling structure–properties relations in compositionally disordered relaxor dielectrics at the nanoscale. Journal of Applied Physics. 134(10). 2 indexed citations
4.
Ghosh, Ayana, et al.. (2023). Identification of novel organic polar materials: A machine learning study with importance sampling. SHILAP Revista de lepidopterología. 1(4). 4 indexed citations
5.
Nakhmanson, Serge, et al.. (2022). Towards modeling thermoelectric properties of anisotropic polycrystalline materials. Acta Materialia. 228. 117743–117743. 5 indexed citations
6.
Alpay, S. P., et al.. (2021). Surface charge mediated polar response in ferroelectric nanoparticles. Applied Physics Letters. 119(26). 7 indexed citations
7.
Ghosh, Ayana, F. Ronning, Serge Nakhmanson, & Jian‐Xin Zhu. (2020). Machine learning study of magnetism in uranium-based compounds. Physical Review Materials. 4(6). 19 indexed citations
8.
Wang, Ruolin, et al.. (2019). Size, shape, and orientation dependence of the field-induced behavior in ferroelectric nanoparticles. Journal of Applied Physics. 125(13). 12 indexed citations
9.
Pitike, Krishna Chaitanya, et al.. (2019). Landau–Devonshire thermodynamic potentials for displacive perovskite ferroelectrics from first principles. Journal of Materials Science. 54(11). 8381–8400. 11 indexed citations
10.
Ghosh, Ayana, et al.. (2019). Electronic and Magnetic Properties of Lanthanum and Strontium Doped Bismuth Ferrite: A First-Principles Study. Scientific Reports. 9(1). 194–194. 55 indexed citations
11.
Pitike, Krishna Chaitanya, et al.. (2018). Metastable vortex-like polarization textures in ferroelectric nanoparticles of different shapes and sizes. Journal of Applied Physics. 124(6). 14 indexed citations
12.
Nakhmanson, Serge, et al.. (2017). Ferret: an open-source code for simulating thermodynamical evolution and phase transformations in complex materials systems at mesoscale. Bulletin of the American Physical Society. 2017. 1 indexed citations
13.
Heinonen, Olle, et al.. (2015). Influence of Elastic and Surface Strains on the Optical Properties of Semiconducting Core-Shell Nanoparticles. Physical Review Applied. 4(1). 5 indexed citations
14.
Luo, Guangfu, I‐Cheng Tung, Seo Hyoung Chang, et al.. (2014). Dynamic layer rearrangement during growth of layered oxide films by molecular beam epitaxy. Nature Materials. 13(9). 879–883. 127 indexed citations
15.
He, Jun, G. B. Stephenson, & Serge Nakhmanson. (2012). Electronic surface compensation of polarization in PbTiO3 films. Journal of Applied Physics. 112(5). 16 indexed citations
16.
Rondinelli, James M., et al.. (2011). First-principles study of misfit strain-stabilized ferroelectric SnTiO3. Physical Review B. 84(24). 47 indexed citations
17.
Nakhmanson, Serge, Karin M. Rabe, & David Vanderbilt. (2006). Predicting polarization enhancement in multicomponent ferroelectric superlattices. Physical Review B. 73(6). 56 indexed citations
18.
Nakhmanson, Serge, Karin M. Rabe, & David Vanderbilt. (2005). Polarization enhancement in two- and three-component ferroelectric superlattices. Applied Physics Letters. 87(10). 102 indexed citations
19.
Nakhmanson, Serge. (2001). Theoretical Studies of Amorphous and Paracrystalline Silicon. OhioLink ETD Center (Ohio Library and Information Network).
20.
Drabold, D. A., et al.. (1999). The structure of electronic states in amorphous silicon. Journal of Molecular Graphics and Modelling. 17(5-6). 285–291. 16 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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