Maria Drakaki
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence
- Mechanical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Panagiotis TzionasYannis L. KarnavasIoannis D. ChasiotisHacer Güner GörenJian ChenAthanasios KarlisKristoffer H. MadsenHartwig R. Siebner
- Topics
- Machine Fault Diagnosis Techniques (5 papers)Disaster Management and Resilience (4 papers)Radio Frequency Integrated Circuit Design (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringMedical Laboratory Technology
- Journals
- SHILAP Revista de lepidopterologíaPhysical review. B, Condensed matterRemote Sensing
- Partner nations
- GreeceRussiaKazakhstan
In The Last Decade
Maria Drakaki
34 papers receiving 513 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Control and Systems Engineering 132
- Industrial and Manufacturing Engineering 72
- Artificial Intelligence 71
- Mechanical Engineering 60
- Electrical and Electronic Engineering 57
Countries citing papers authored by Maria Drakaki
This map shows the geographic impact of Maria Drakaki'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 Drakaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Drakaki more than expected).
Fields of papers citing papers by Maria Drakaki
This network shows the impact of papers produced by Maria Drakaki. 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 Drakaki. The network helps show where Maria Drakaki may publish in the future.
Co-authorship network of co-authors of Maria Drakaki
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Drakaki. A scholar is included among the top collaborators of Maria Drakaki 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 Maria Drakaki. Maria Drakaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 30 | |
| 7 | Machine Learning in Disaster Management: Recent Developments in Methods and Applicationsbreakdown → | 130 |
| 8 | 37 | |
| 9 | 28 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 34 | |
| 15 | 6 | |
| 16 | 37 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 6 | |
| 20 | 2 |
About Maria Drakaki
Maria Drakaki is a scholar working on Industrial and Manufacturing Engineering, Medical Laboratory Technology and Media Technology, having authored 38 papers that have together received 529 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (5 papers), Disaster Management and Resilience (4 papers) and Radio Frequency Integrated Circuit Design (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (72 citations), Control and Systems Engineering (132 citations) and Medical Laboratory Technology (8 citations). Maria Drakaki has collaborated with scholars based in Greece, Russia and Kazakhstan. Frequent co-authors include Panagiotis Tzionas, Yannis L. Karnavas, Ioannis D. Chasiotis, Hacer Güner Gören, Jian Chen, Athanasios Karlis, Kristoffer H. Madsen, Hartwig R. Siebner, Axel Thielscher and Claus Mathiesen. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Remote Sensing.
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.