Natasha Dropka

802 total citations
60 papers, 610 citations indexed

About

Natasha Dropka is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Natasha Dropka has authored 60 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Materials Chemistry, 20 papers in Electrical and Electronic Engineering and 18 papers in Mechanical Engineering. Recurrent topics in Natasha Dropka's work include Solidification and crystal growth phenomena (23 papers), Silicon and Solar Cell Technologies (15 papers) and Metallurgical Processes and Thermodynamics (10 papers). Natasha Dropka is often cited by papers focused on Solidification and crystal growth phenomena (23 papers), Silicon and Solar Cell Technologies (15 papers) and Metallurgical Processes and Thermodynamics (10 papers). Natasha Dropka collaborates with scholars based in Germany, Czechia and United States. Natasha Dropka's co-authors include Martin Holeňa, P. Rudolph, W. Miller, F.M. Kießling, D. Wolf, Quido Smejkal, Andreas Martin, V. Narayana Kalevaru, A.G. Ostrogorsky and Michael Müller and has published in prestigious journals such as Applied Physics Letters, Journal of Catalysis and Chemical Engineering Science.

In The Last Decade

Natasha Dropka

56 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natasha Dropka Germany 16 412 209 188 71 63 60 610
C. S. Praveen India 18 439 1.1× 225 1.1× 110 0.6× 97 1.4× 122 1.9× 53 858
Eric Gossett United States 6 594 1.4× 122 0.6× 104 0.6× 34 0.5× 43 0.7× 6 707
Maxwell Hutchinson United States 7 308 0.7× 76 0.4× 82 0.4× 20 0.3× 24 0.4× 9 483
He Wang China 15 242 0.6× 178 0.9× 114 0.6× 14 0.2× 32 0.5× 75 711
Kenneth Leiter United States 12 157 0.4× 217 1.0× 55 0.3× 24 0.3× 26 0.4× 18 487
Dmitry S. Bulgarevich Japan 14 162 0.4× 148 0.7× 173 0.9× 37 0.5× 40 0.6× 46 618
Rachana Gupta India 11 257 0.6× 102 0.5× 42 0.2× 95 1.3× 52 0.8× 32 538
T.-C. Weng United States 11 423 1.0× 127 0.6× 55 0.3× 263 3.7× 35 0.6× 18 733
Haibin Shi China 14 300 0.7× 129 0.6× 64 0.3× 10 0.1× 70 1.1× 37 505

Countries citing papers authored by Natasha Dropka

Since Specialization
Citations

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

Fields of papers citing papers by Natasha Dropka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha Dropka

This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Dropka. A scholar is included among the top collaborators of Natasha Dropka 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 Natasha Dropka. Natasha Dropka 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.
Chou, Ta‐Shun, Saud Bin Anooz, Natasha Dropka, et al.. (2025). Optimizing the morphology transition on MOVPE-grown (100) β-Ga2O3 film between step-flow growth and step-bunching: A machine learning-assisted approach. APL Materials. 13(5). 4 indexed citations
2.
Dropka, Natasha, et al.. (2025). Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques. Advanced Theory and Simulations. 8(12).
3.
Dropka, Natasha, et al.. (2025). Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth. Advanced Theory and Simulations. 9(2).
4.
Tang, Xia, et al.. (2025). Comparative analysis of machine learning approaches for predicting and interpreting Cz-sapphire growth. Journal of Crystal Growth. 664. 128185–128185. 2 indexed citations
5.
Holeňa, Martin, et al.. (2025). An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques. Advanced Theory and Simulations. 8(5). 2 indexed citations
6.
Dropka, Natasha, et al.. (2025). Machine learning in crystal growth: A review of methods, data, and applications. Progress in Crystal Growth and Characterization of Materials. 71(4). 100689–100689.
7.
Dropka, Natasha, et al.. (2024). Data-driven feasibility study of VGF β-Ga2O3 growth under traveling magnetic fields. Journal of Crystal Growth. 652. 128049–128049. 1 indexed citations
8.
Dropka, Natasha, et al.. (2024). Unraveling conditions for W-shaped interface and undercooled melts in Cz-Si growth: A smart approach. Journal of Crystal Growth. 648. 127897–127897. 3 indexed citations
9.
Tang, Xia, et al.. (2023). Decision Tree-Supported Analysis of Gallium Arsenide Growth Using the LEC Method. Crystals. 13(12). 1659–1659. 5 indexed citations
10.
Dropka, Natasha, et al.. (2023). Development of the VGF Crystal Growth Recipe: Intelligent Solutions of Ill‐Posed Inverse Problems using Images and Numerical Data. Crystal Research and Technology. 58(11). 7 indexed citations
11.
Pietsch, Mike, et al.. (2023). Development of Large‐Diameter and Very High Purity Ge Crystal Growth Technology for Devices. Crystal Research and Technology. 58(5). 9 indexed citations
12.
Chou, Ta‐Shun, Saud Bin Anooz, Raimund Grüneberg, et al.. (2022). Si doping mechanism in MOVPE-grown (100) β-Ga2O3 films. Applied Physics Letters. 121(3). 16 indexed citations
13.
Chou, Ta‐Shun, Saud Bin Anooz, Raimund Grüneberg, et al.. (2022). Machine learning supported analysis of MOVPE grown β-Ga2O3 thin films on sapphire. Journal of Crystal Growth. 592. 126737–126737. 15 indexed citations
14.
Dropka, Natasha, et al.. (2020). Influence of impurities from SiC and TiC crucible cover on directionally solidified silicon. Journal of Crystal Growth. 542. 125692–125692. 10 indexed citations
15.
Dropka, Natasha, et al.. (2016). Influence of peripheral vibrations and traveling magnetic fields on VGF growth of Sb-doped Ge crystals. Journal of Crystal Growth. 453. 27–33. 5 indexed citations
16.
Dropka, Natasha, et al.. (2012). Numerical study on stirring of large silicon melts by Carousel magnetic fields. Journal of Crystal Growth. 354(1). 1–8. 6 indexed citations
17.
Kießling, F.M., et al.. (2012). Characterization of mc-Si directionally solidified in travelling magnetic fields. Journal of Crystal Growth. 360. 81–86. 33 indexed citations
18.
Dropka, Natasha, et al.. (2011). Influence of travelling magnetic fields on S–L interface shapes of materials with different electrical conductivities. Journal of Crystal Growth. 338(1). 208–213. 17 indexed citations
19.
Rudolph, P., et al.. (2009). Crystal growth from melt in combined heater-magnet modules. Journal of the Korean Crystal Growth and Crystal Technology. 19(5). 215–222. 5 indexed citations
20.
Dropka, Natasha, Evgenii V. Kondratenko, Vita A. Kondratenko, et al.. (2005). Innovative Reactors for Determining Kinetics of Highly Exothermic Heterogeneous Catalytic Reactions. International Journal of Chemical Reactor Engineering. 3(1). 3 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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