Mika Latikka

24 total papers · 1.3k total citations
17 papers, 1.0k citations indexed

About

Mika Latikka is a scholar working on Surfaces, Coatings and Films, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Mika Latikka has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surfaces, Coatings and Films, 8 papers in Biomedical Engineering and 6 papers in Mechanics of Materials. Recurrent topics in Mika Latikka's work include Surface Modification and Superhydrophobicity (8 papers), Characterization and Applications of Magnetic Nanoparticles (6 papers) and Adhesion, Friction, and Surface Interactions (6 papers). Mika Latikka is often cited by papers focused on Surface Modification and Superhydrophobicity (8 papers), Characterization and Applications of Magnetic Nanoparticles (6 papers) and Adhesion, Friction, and Surface Interactions (6 papers). Mika Latikka collaborates with scholars based in Finland, France and United States. Mika Latikka's co-authors include Robin H. A. Ras, Jaakko V. I. Timonen, Olli Ikkala, Ludwik Leibler, Maja Vuckovac, Kai Liu, Kai Liu, Matilda Backholm, Markus B. Linder and Sami Franssila and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mika Latikka

17 papers receiving 1.0k citations

Hit Papers

Switchable Static and Dyn... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Mika Latikka 461 449 274 230 209 17 1.0k
Zubin Wang 626 1.4× 346 0.8× 233 0.9× 250 1.1× 206 1.0× 27 1.2k
Shuai Yang 701 1.5× 429 1.0× 286 1.0× 274 1.2× 168 0.8× 39 1.2k
Shuang Ben 442 1.0× 313 0.7× 269 1.0× 294 1.3× 74 0.4× 19 858
Suwan Zhu 465 1.0× 425 0.9× 303 1.1× 196 0.9× 132 0.6× 38 949
Jonathan T. Pham 235 0.5× 446 1.0× 215 0.8× 320 1.4× 229 1.1× 46 1.1k
Matthieu Roché 243 0.5× 451 1.0× 249 0.9× 232 1.0× 110 0.5× 29 1.0k
Pu Guo 468 1.0× 296 0.7× 205 0.7× 208 0.9× 132 0.6× 35 1.0k
Adam Winkleman 180 0.4× 705 1.6× 367 1.3× 228 1.0× 107 0.5× 17 1.2k
Hua Fan 271 0.6× 432 1.0× 243 0.9× 167 0.7× 90 0.4× 42 869
Chenguang Lu 384 0.8× 270 0.6× 258 0.9× 250 1.1× 84 0.4× 32 817

Countries citing papers authored by Mika Latikka

Since Specialization
Citations

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

Fields of papers citing papers by Mika Latikka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Latikka

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