Aldona Jagminienė

57 total papers · 497 total citations
37 papers, 419 citations indexed

About

Aldona Jagminienė is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, Aldona Jagminienė has authored 37 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 10 papers in Computational Mechanics. Recurrent topics in Aldona Jagminienė's work include Electrodeposition and Electroless Coatings (13 papers), Electrocatalysts for Energy Conversion (8 papers) and Laser Material Processing Techniques (8 papers). Aldona Jagminienė is often cited by papers focused on Electrodeposition and Electroless Coatings (13 papers), Electrocatalysts for Energy Conversion (8 papers) and Laser Material Processing Techniques (8 papers). Aldona Jagminienė collaborates with scholars based in Lithuania, Italy and China. Aldona Jagminienė's co-authors include Eugenijus Norkus, Loreta Tamašauskaitė–Tamašiūnaitė, Karolis Ratautas, Gediminas Račiukaitis, A. Vaškelis, Remi­gi­jus Juškėnas, Arūnas Jagminas, Marija Kurtinaitienė, Mindaugas Gedvilas and Mindaugas Andrulevičius and has published in prestigious journals such as Journal of The Electrochemical Society, Scientific Reports and Electrochimica Acta.

In The Last Decade

Aldona Jagminienė

35 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Aldona Jagminienė 235 155 108 89 60 37 419
Alagar Ramar 245 1.0× 201 1.3× 32 0.3× 93 1.0× 39 0.7× 38 491
Tomohiro Mori 109 0.5× 139 0.9× 253 2.3× 41 0.5× 40 0.7× 32 475
Shiwen Wu 170 0.7× 91 0.6× 68 0.6× 131 1.5× 22 0.4× 33 433
Ken‐Ming Yin 317 1.3× 188 1.2× 66 0.6× 163 1.8× 8 0.1× 24 421
Cheol‐Ho Kim 154 0.7× 144 0.9× 84 0.8× 124 1.4× 32 0.5× 29 438
Junwei Yang 178 0.8× 121 0.8× 57 0.5× 54 0.6× 17 0.3× 42 458
Takayuki Uchiyama 364 1.5× 138 0.9× 114 1.1× 59 0.7× 14 0.2× 45 485
Yanwen Bai 201 0.9× 144 0.9× 45 0.4× 72 0.8× 11 0.2× 43 439
K. H. Wong 215 0.9× 241 1.6× 140 1.3× 49 0.6× 16 0.3× 32 431
Takao Miwa 159 0.7× 224 1.4× 147 1.4× 51 0.6× 35 0.6× 37 456

Countries citing papers authored by Aldona Jagminienė

Since Specialization
Citations

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

Fields of papers citing papers by Aldona Jagminienė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aldona Jagminienė

This figure shows the co-authorship network connecting the top 25 collaborators of Aldona Jagminienė. A scholar is included among the top collaborators of Aldona Jagminienė 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 Aldona Jagminienė. Aldona Jagminienė 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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