K. Ullakko

10.4k total citations · 2 hit papers
178 papers, 8.7k citations indexed

About

K. Ullakko is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Mechanical Engineering. According to data from OpenAlex, K. Ullakko has authored 178 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Materials Chemistry, 101 papers in Electronic, Optical and Magnetic Materials and 71 papers in Mechanical Engineering. Recurrent topics in K. Ullakko's work include Shape Memory Alloy Transformations (134 papers), Magnetic Properties and Applications (63 papers) and Magnetic and transport properties of perovskites and related materials (44 papers). K. Ullakko is often cited by papers focused on Shape Memory Alloy Transformations (134 papers), Magnetic Properties and Applications (63 papers) and Magnetic and transport properties of perovskites and related materials (44 papers). K. Ullakko collaborates with scholars based in Finland, Ukraine and United States. K. Ullakko's co-authors include A. Sozinov, Junjie Huang, V. V. Kokorin, A. A. Likhachev, N. Lanska, R. C. O’Handley, Oleg Heczko, V. K. Lindroos, Andrey Saren and Outi Söderberg and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

K. Ullakko

168 papers receiving 8.2k citations

Hit Papers

Large magnetic-field-induced strains in Ni2MnGa single cr... 1996 2026 2006 2016 1996 2002 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Ullakko Finland 37 8.0k 5.7k 1.9k 490 302 178 8.7k
V. A. Chernenko Spain 46 7.2k 0.9× 5.3k 0.9× 1.7k 0.9× 560 1.1× 169 0.6× 261 7.6k
Oleg Heczko Czechia 42 5.4k 0.7× 4.3k 0.7× 1.3k 0.7× 193 0.4× 316 1.0× 224 5.9k
A. Sozinov Finland 31 5.1k 0.6× 3.4k 0.6× 1.3k 0.7× 262 0.5× 248 0.8× 106 5.3k
Katsunari Oikawa Japan 48 8.0k 1.0× 6.3k 1.1× 3.7k 2.0× 677 1.4× 40 0.1× 207 10.2k
Peter Müllner United States 35 3.4k 0.4× 2.0k 0.3× 1.5k 0.8× 99 0.2× 169 0.6× 148 4.0k
Claude Esling France 45 5.7k 0.7× 2.6k 0.5× 4.0k 2.1× 165 0.3× 42 0.1× 345 7.1k
Huibin Xu China 42 4.4k 0.5× 2.4k 0.4× 2.1k 1.1× 208 0.4× 16 0.1× 196 5.9k
J. Pons Spain 40 4.6k 0.6× 2.2k 0.4× 1.6k 0.8× 381 0.8× 43 0.1× 139 4.8k
Daoyong Cong China 33 3.2k 0.4× 2.2k 0.4× 1.2k 0.7× 168 0.3× 26 0.1× 116 3.5k
Chengbao Jiang China 42 5.1k 0.6× 4.1k 0.7× 1.3k 0.7× 221 0.5× 15 0.0× 205 7.5k

Countries citing papers authored by K. Ullakko

Since Specialization
Citations

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

Fields of papers citing papers by K. Ullakko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Ullakko

This figure shows the co-authorship network connecting the top 25 collaborators of K. Ullakko. A scholar is included among the top collaborators of K. Ullakko 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 K. Ullakko. K. Ullakko 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.
Ullakko, K., et al.. (2025). Study of the wall thickness effect on the solidification and mechanical properties of thin-walled SS316L built via LPBF additive manufacturing. CIRP journal of manufacturing science and technology. 61. 542–553. 1 indexed citations
2.
Ullakko, K., et al.. (2025). Characterization of structural and magnetic phase transformations in Ni-Mn-Ga magnetic shape memory alloys built via laser powder bed fusion. IOP Conference Series Materials Science and Engineering. 1332(1). 12005–12005. 1 indexed citations
4.
Sozinov, A., Ladislav Straka, Petr Veřtát, et al.. (2024). Stability of incommensurately modulated Ni50Mn27Ga22Fe1 10M martensite under uniaxial tensile stress. Scripta Materialia. 247. 116096–116096.
5.
Vecchis, Pierangeli Rodriguez De, et al.. (2024). Powder-blown laser-based directed energy deposition of (14M) Ni-Mn-Ga magnetic shape memory alloy. Additive manufacturing. 90. 104328–104328. 2 indexed citations
6.
Ullakko, K., et al.. (2024). In-situ alloying laser powder bed fusion of Ni-Mn-Ga magnetic shape memory alloy using liquid Ga. Progress in Additive Manufacturing. 9(6). 2363–2373. 4 indexed citations
7.
Varzaneh, A. Ghotbi, P. Kameli, Jingyuan Xu, et al.. (2023). Transformation behavior and inverse magnetocaloric effect in Ni45Co5Mn36.7In13.3-Ge melt-spun ribbons. Intermetallics. 165. 108152–108152. 3 indexed citations
8.
Ullakko, K., et al.. (2023). Development of a build volume reduction kit for studying epitaxial re-solidification in laser powder bed fusion. IOP Conference Series Materials Science and Engineering. 1296(1). 12018–12018. 6 indexed citations
9.
Ullakko, K., et al.. (2023). Magnetic smart materials enabled micro-pump: design, modeling, and performance analysis. Vibroengineering PROCEDIA. 50. 264–270.
10.
Hu, Hao, et al.. (2023). Prediction of Wafer Handling-Induced Point Defects in 300 mm Silicon Wafer Manufacturing from Edge Geometric Data. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 345. 181–191. 1 indexed citations
11.
Hu, Hao & K. Ullakko. (2023). Selective Etch for Micromachining Process in Manufacturing Hybrid Microdevices composed of Ni-Mn-Ga and Silicon Layers. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 344. 81–88.
12.
Ullakko, K., et al.. (2023). Effects of machining parameters on Ni-Mn-Ga-based alloys for fabrication of multifunctional micro devices using femtosecond pulse width laser. IOP Conference Series Materials Science and Engineering. 1296(1). 12040–12040. 2 indexed citations
13.
Ullakko, K., et al.. (2022). Laser powder bed fusion of (14 M) Ni-Mn-Ga magnetic shape memory alloy lattices. Additive manufacturing. 60. 103231–103231. 16 indexed citations
14.
Sozinov, A., et al.. (2022). Effects of 1 at.% additions of Co, Fe, Cu, and Cr on the properties of Ni-Mn-Ga-based magnetic shape memory alloys. Scripta Materialia. 224. 115116–115116. 11 indexed citations
15.
Saren, Andrey, et al.. (2020). Auto-Aspirated DAF Sparger Study on Flow Hydrodynamics, Bubble Generation and Aeration Efficiency. Processes. 8(11). 1498–1498. 5 indexed citations
16.
Feuchtwanger, J., et al.. (2017). High temperature Ni 45 Co 5 Mn 25−x Fe x Ga 20 Cu 5 ferromagnetic shape memory alloys. Scripta Materialia. 134. 119–122. 15 indexed citations
18.
Heczko, Oleg, A. Sozinov, & K. Ullakko. (2000). Giant field-induced reversible strain in magnetic shape memory NiMnGa alloy. IEEE Transactions on Magnetics. 36(5). 3266–3268. 313 indexed citations
19.
Gavriljuk, V.G., et al.. (1996). Internal friction in hydrogen-charged CrNi and CrNiMn austenitic stainless steels. Metallurgical and Materials Transactions A. 27(7). 1815–1821. 20 indexed citations
20.
Gavriljuk, V.G., et al.. (1995). Phase transformations and relaxation phenomena caused by hydrogen in stable austenitic stainless steels. Acta Metallurgica et Materialia. 43(2). 559–568. 25 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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