Maria Dimaki

2.1k citations
91 papers · 1.6k indexed · h-index 23

Impact in

Papers in

Maria Dimaki

88 papers receiving 1.6k citations

Peers

Maria Dimaki
Comparison fields: 5 of 131
  • Electrochemistry 154
  • Bioengineering 124
  • Biomedical Engineering 769
  • Biomaterials 136
  • Electrical and Electronic Engineering 428
Replace Nigel F. Reuel with:
Nigel F. Reuel United States
Volodymyr B. Koman United States
Justin M. Zook United States
Jin‐Ha Choi South Korea
Tetsuya Haruyama Japan
Tedrick Thomas Salim Lew United States
Jason C. Harper United States
Tai Ye China
Nello Formisano United Kingdom
Fan Yang China
Maria Dimaki relative to Nigel F. Reuel United States Nigel F. Reuel's profile →
Citations per field
00.5×1.5×
Nigel F. Reuel · 1×
Citations per year

Countries citing papers authored by Maria Dimaki

Since Specialization
Citations

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

Fields of papers citing papers by Maria Dimaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria Dimaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maria Dimaki Line = papers co-authored together Maria Dimaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20244
3 20245
4 20239
5 202110
6 20209
7 201940
8 201943
9
The distribution of amphibians and reptiles on Samos island (Greece) (Amphibia: reptilia)
20141
10 20139
11 201212
12
Long-term brain slice culturing in a microfluidic platform
20112
13 201142
14 201117
15 201112
16 20089
17 200869
18 200727
19 20066
20
Bird migration in the spring at Strophades Islands [Ionian Sea, Greece]
19963

About Maria Dimaki

Maria Dimaki is a scholar working on Bioengineering, Electrochemistry, Biomedical Engineering, Cellular and Molecular Neuroscience and Ecological Modeling, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (19 papers), Neuroscience and Neural Engineering (15 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers), Advanced biosensing and bioanalysis techniques (9 papers), Analytical Chemistry and Sensors (9 papers), Electrowetting and Microfluidic Technologies (8 papers), Carbon Nanotubes in Composites (7 papers) and Electrochemical Analysis and Applications (7 papers). The work is most often cited by research in Electrochemistry (154 citations), Bioengineering (124 citations), Biomedical Engineering (769 citations), Biomaterials (136 citations) and Electrical and Electronic Engineering (428 citations). Maria Dimaki has collaborated with scholars based in Denmark, Greece and United States. Frequent co-authors include Winnie Edith Svendsen, Peter Bøggild, Jaime Castillo, Jafar Safaa Noori, John Mortensen, Luigi Sasso, Casper Hyttel Clausen, Arto Heiskanen, Zoi Lygerou and Jenny Emnéus. Their work appears in journals such as Sensors, Microelectronic Engineering, Biomedical Microdevices, Journal of Micromechanics and Microengineering and Journal of Biological Chemistry.

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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