Sergei V. Kalinin

48.7k total citations · 4 hit papers
858 papers, 37.4k citations indexed

About

Sergei V. Kalinin is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Sergei V. Kalinin has authored 858 papers receiving a total of 37.4k indexed citations (citations by other indexed papers that have themselves been cited), including 589 papers in Materials Chemistry, 294 papers in Atomic and Molecular Physics, and Optics and 262 papers in Biomedical Engineering. Recurrent topics in Sergei V. Kalinin's work include Ferroelectric and Piezoelectric Materials (324 papers), Force Microscopy Techniques and Applications (248 papers) and Electronic and Structural Properties of Oxides (181 papers). Sergei V. Kalinin is often cited by papers focused on Ferroelectric and Piezoelectric Materials (324 papers), Force Microscopy Techniques and Applications (248 papers) and Electronic and Structural Properties of Oxides (181 papers). Sergei V. Kalinin collaborates with scholars based in United States, Ukraine and South Korea. Sergei V. Kalinin's co-authors include Stephen Jesse, Anna N. Morozovska, Dawn A. Bonnell, Nina Balke, Eugene А. Eliseev, Arthur P. Baddorf, Petro Maksymovych, Brian J. Rodriguez, Rama K. Vasudevan and Alexei Gruverman and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Sergei V. Kalinin

846 papers receiving 36.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Conduction at domain walls in oxide multiferroics

2009 1.1k citations Petro Maksymovych, Nina Balke et al. profile →
Nanoscale mapping of ion diffusion in a lithium-ion battery cathode

2010 489 citations Nina Balke, Stephen Jesse et al. profile →
Imaging mechanism of piezoresponse force microscopy of ferroelectric surfaces

2002 394 citations Sergei V. Kalinin et al. profile →
Science acceleration and accessibility with self-driving labs

2025 21 citations Sergei V. Kalinin et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergei V. Kalinin United States	95	26.6k	12.2k	11.9k	11.2k	8.8k	858	37.4k
Alex Zettl United States	118	50.4k 1.9×	9.9k 0.8×	19.6k 1.7×	16.2k 1.4×	17.9k 2.0×	608	69.2k
Vinayak P. Dravid United States	113	42.5k 1.6×	9.7k 0.8×	27.1k 2.3×	7.2k 0.6×	4.7k 0.5×	753	56.3k
Phaedon Avouris United States	122	48.7k 1.8×	7.9k 0.6×	30.3k 2.5×	23.6k 2.1×	24.7k 2.8×	439	71.2k
Mauricio Terrones United States	114	42.0k 1.6×	7.4k 0.6×	20.5k 1.7×	11.3k 1.0×	4.2k 0.5×	736	54.3k
Ralph G. Nuzzo United States	88	15.9k 0.6×	6.6k 0.5×	25.7k 2.2×	18.7k 1.7×	7.9k 0.9×	362	48.1k
Yu Huang United States	125	39.0k 1.5×	10.5k 0.9×	38.1k 3.2×	15.8k 1.4×	5.8k 0.7×	392	66.9k
Long‐Qing Chen United States	126	52.8k 2.0×	24.6k 2.0×	16.0k 1.3×	22.9k 2.0×	5.4k 0.6×	1.1k	73.1k
Albert Polman Netherlands	92	16.8k 0.6×	11.5k 0.9×	21.4k 1.8×	19.4k 1.7×	10.7k 1.2×	411	39.5k
U. Gösele Germany	99	26.7k 1.0×	5.2k 0.4×	22.4k 1.9×	15.9k 1.4×	12.1k 1.4×	647	43.2k
Stephen Jesse United States	67	11.2k 0.4×	4.3k 0.4×	5.3k 0.4×	5.4k 0.5×	4.5k 0.5×	394	16.5k

Countries citing papers authored by Sergei V. Kalinin

Since Specialization

Citations

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

Fields of papers citing papers by Sergei V. Kalinin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergei V. Kalinin. 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 Sergei V. Kalinin. The network helps show where Sergei V. Kalinin may publish in the future.

Co-authorship network of co-authors of Sergei V. Kalinin

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

All Works

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20 of 20 papers shown

Vasudevan, Rama K., et al.. (2024). Deep kernel methods learn better: from cards to process optimization. Machine Learning Science and Technology. 5(1). 15012–15012. 4 indexed citations

Boebinger, Matthew G., Ayana Ghosh, Kevin M. Roccapriore, et al.. (2024). Exploring electron-beam induced modifications of materials with machine-learning assisted high temporal resolution electron microscopy. npj Computational Materials. 10(1). 3 indexed citations

Hidalgo, Juanita, Omar Allam, Jonghee Yang, et al.. (2024). Bromine Incorporation Affects Phase Transformations and Thermal Stability of Lead Halide Perovskites. Journal of the American Chemical Society. 146(27). 18576–18585. 8 indexed citations

Morozovska, Anna N., et al.. (2023). Effective Landau-type model of a HfxZr1−xO2-graphene nanostructure. Physical Review Applied. 20(5). 8 indexed citations

Kalinin, Sergei V., Rama K. Vasudevan, Yongtao Liu, et al.. (2023). Probe microscopy is all you need ^*. Machine Learning Science and Technology. 4(2). 23001–23001. 13 indexed citations

Kalinin, Sergei V., Christopher T. Nelson, Jonathan J. P. Peters, et al.. (2022). Unsupervised learning of ferroic variants from atomically resolved STEM images. AIP Advances. 12(10). 5 indexed citations

Feng, Tianyi, et al.. (2022). Delineating complex ferroelectric domain structures via second harmonic generation spectral imaging. Journal of Materiomics. 9(2). 395–402. 25 indexed citations

Morozovska, Anna N., et al.. (2022). Chemical control of polarization in thin strained films of a multiaxial ferroelectric: Phase diagrams and polarization rotation. Physical review. B.. 105(9). 12 indexed citations

Vasudevan, Rama K., et al.. (2022). Discovering mechanisms for materials microstructure optimization via reinforcement learning of a generative model. Machine Learning Science and Technology. 3(4). 04LT03–04LT03. 6 indexed citations

10.

Yang, Guang, Yongqiang Cheng, Mingchao Wang, et al.. (2021). Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning. Nature Communications. 12(1). 45 indexed citations

11.

Morozovska, Anna N., et al.. (2020). Phase diagrams of single-layer two-dimensional transition metal dichalcogenides: Landau theory. Physical review. B.. 101(19). 10 indexed citations

12.

Morozovska, Anna N., Eugene А. Eliseev, Kyle P. Kelley, et al.. (2020). Phenomenological description of bright domain walls in ferroelectric-antiferroelectric layered chalcogenides. Physical review. B.. 102(17). 12 indexed citations

13.

Giridharagopal, Rajiv, Jake T. Precht, Sarthak Jariwala, et al.. (2019). Time-Resolved Electrical Scanning Probe Microscopy of Layered Perovskites Reveals Spatial Variations in Photoinduced Ionic and Electronic Carrier Motion. ACS Nano. 13(3). 2812–2821. 47 indexed citations

14.

Somnath, Suhas, Kody J. H. Law, Anna N. Morozovska, et al.. (2018). Ultrafast current imaging by Bayesian inversion. Nature Communications. 9(1). 513–513. 14 indexed citations

15.

Eliseev, Eugene А., et al.. (2017). Tuning the polar states of ferroelectric films via surface charges and flexoelectricity. Acta Materialia. 137. 85–92. 52 indexed citations

16.

Lummen, Tom T. A., Amit Kumar, Xiaoyu Wu, et al.. (2017). Emergent Low‐Symmetry Phases and Large Property Enhancements in Ferroelectric KNbO₃ Bulk Crystals. Advanced Materials. 29(31). 31 indexed citations

17.

Belianinov, Alex, Rama K. Vasudevan, Evgheni Strelcov, et al.. (2015). Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets. PubMed. 1(1). 6–6. 86 indexed citations

18.

Denev, S., Ho Won Jang, Seung‐Hyub Baek, et al.. (2010). Ferroelectricity in Strain-Free SrTiO$_{3}$ Thin Films. Bulletin of the American Physical Society. 2010. 8 indexed citations

19.

Kalinin, Sergei V., Stephen Jesse, & Roger Proksch. (2008). Information Acquisition & Processing in Scanning Probe Microscopy. 50(4). 662–5. 3 indexed citations

20.

Rar, A., George M. Pharr, W. C. Oliver, & Sergei V. Kalinin. (2006). Quantitative Probing of Electromechanical Phenomena on the Nanoscale By Piezoelectric Nanoindentation. Applied Physics Letters. 21(3). 10 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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