N. Lanska

11 total papers · 735 total citations
9 papers, 627 citations indexed

About

N. Lanska is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Paleontology. According to data from OpenAlex, N. Lanska has authored 9 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 7 papers in Electronic, Optical and Magnetic Materials and 2 papers in Paleontology. Recurrent topics in N. Lanska's work include Shape Memory Alloy Transformations (9 papers), Magnetic Properties and Applications (5 papers) and Magnetic and transport properties of perovskites and related materials (4 papers). N. Lanska is often cited by papers focused on Shape Memory Alloy Transformations (9 papers), Magnetic Properties and Applications (5 papers) and Magnetic and transport properties of perovskites and related materials (4 papers). N. Lanska collaborates with scholars based in Finland, Germany and Czechia. N. Lanska's co-authors include Ladislav Straka, A. Sozinov, A. A. Soroka, Oleg Heczko, K. Ullakko, S. Fähler, Jan Drahokoupil, Hanuš Seiner, Hannu Hänninen and Jussi Enkovaara and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Acta Materialia.

In The Last Decade

N. Lanska

9 papers receiving 611 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
N. Lanska 617 446 150 59 21 9 627
Martin Pötschke 676 1.1× 452 1.0× 164 1.1× 25 0.4× 46 2.2× 25 701
Kevin F. Hane 651 1.1× 203 0.5× 220 1.5× 20 0.3× 17 0.8× 10 714
Dewei Zhao 700 1.1× 483 1.1× 260 1.7× 5 0.1× 63 3.0× 15 719
Eduard Obradó 629 1.0× 424 1.0× 177 1.2× 6 0.1× 57 2.7× 16 692
Zhenzhuang Li 618 1.0× 540 1.2× 237 1.6× 2 0.0× 35 1.7× 17 646
K-U Neumann 618 1.0× 607 1.4× 133 0.9× 7 0.1× 49 2.3× 17 749
Erell Bonnot 596 1.0× 341 0.8× 177 1.2× 2 0.0× 27 1.3× 8 641
Yunqing Ma 573 0.9× 197 0.4× 193 1.3× 2 0.0× 86 4.1× 20 596
T. Ueki 656 1.1× 66 0.1× 268 1.8× 3 0.1× 21 1.0× 14 683
Sean Fackler 487 0.8× 296 0.7× 146 1.0× 2 0.0× 18 0.9× 13 584

Countries citing papers authored by N. Lanska

Since Specialization
Citations

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

Fields of papers citing papers by N. Lanska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Lanska

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

All Works

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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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