Maria Drakaki

935 total citations · 1 hit paper
38 papers, 529 citations indexed

About

Maria Drakaki is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Maria Drakaki has authored 38 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 8 papers in Electrical and Electronic Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Maria Drakaki's work include Machine Fault Diagnosis Techniques (5 papers), Disaster Management and Resilience (4 papers) and Radio Frequency Integrated Circuit Design (3 papers). Maria Drakaki is often cited by papers focused on Machine Fault Diagnosis Techniques (5 papers), Disaster Management and Resilience (4 papers) and Radio Frequency Integrated Circuit Design (3 papers). Maria Drakaki collaborates with scholars based in Greece, Kazakhstan and Russia. Maria Drakaki's co-authors include Panagiotis Tzionas, Yannis L. Karnavas, Ioannis D. Chasiotis, Hacer Güner Gören, Jian Chen, Axel Thielscher, Claus Mathiesen, Athanasios Karlis, Kristoffer H. Madsen and Hartwig R. Siebner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Remote Sensing.

In The Last Decade

Maria Drakaki

34 papers receiving 513 citations

Hit Papers

Machine Learning in Disaster Management: Recent Developme... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine Learning in Disaster Management: Recent Developments in Methods and Applications
    2022 130 citations Maria Drakaki, Panagiotis Tzionas et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Drakaki Greece 13 132 72 71 60 57 38 529
Pengcheng Fang China 10 50 0.4× 70 1.0× 99 1.4× 55 0.9× 26 0.5× 19 619
Jin Xiao China 17 105 0.8× 37 0.5× 110 1.5× 158 2.6× 88 1.5× 146 1.1k
Chenxi Yuan United States 14 32 0.2× 69 1.0× 65 0.9× 67 1.1× 50 0.9× 38 568
Paul T. Grogan United States 12 119 0.9× 62 0.9× 30 0.4× 63 1.1× 23 0.4× 88 488
Chih-Ching Hung Taiwan 6 87 0.7× 105 1.5× 50 0.7× 26 0.4× 52 0.9× 12 533
Michael Henshaw United Kingdom 14 199 1.5× 108 1.5× 40 0.6× 13 0.2× 35 0.6× 59 666
Fábio Henrique Pereira Brazil 10 91 0.7× 53 0.7× 18 0.3× 57 0.9× 125 2.2× 53 389
Dong Xu China 13 36 0.3× 35 0.5× 44 0.6× 57 0.9× 46 0.8× 56 532
Bryan Mesmer United States 11 171 1.3× 22 0.3× 38 0.5× 40 0.7× 13 0.2× 76 418

Countries citing papers authored by Maria Drakaki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
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Drakaki, Maria, et al.. (2023). An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany. Operations Research Forum. 4(2). 1 indexed citations
3.
Drakaki, Maria, et al.. (2023). Public procurement initiatives during the Covid-19 pandemic and lessons learned: the case study of Greece. Journal of Public Procurement. 24(1). 70–90. 2 indexed citations
4.
Drakaki, Maria, Gyöngyi Kovács, & Panagiotis Tzionas. (2022). No one stands alone: partnerships for community resilience. Natural Hazards. 116(2). 1433–1462. 1 indexed citations
5.
Drakaki, Maria, et al.. (2022). Machine learning and deep learning based methods toward industry 4.0 predictive maintenance in induction motors: State of the art survey. Journal of Industrial Engineering and Management. 15(1). 31–31. 30 indexed citations
6.
Drakaki, Maria, et al.. (2022). Machine Learning in Disaster Management: Recent Developments in Methods and Applications. SHILAP Revista de lepidopterología. 4(2). 446–473. 130 indexed citations breakdown →
7.
Drakaki, Maria, Claus Mathiesen, Hartwig R. Siebner, Kristoffer H. Madsen, & Axel Thielscher. (2022). Database of 25 validated coil models for electric field simulations for TMS. Brain stimulation. 15(3). 697–706. 37 indexed citations
8.
Drakaki, Maria & Panagiotis Tzionas. (2021). A colored petri net-based modeling method for supply chain inventory management. SIMULATION. 98(3). 257–271. 9 indexed citations
9.
Karnavas, Yannis L., et al.. (2020). Recent Advances of Neural Network based Methods in Induction Motor Fault Diagnosis. 1411–1417. 4 indexed citations
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Drakaki, Maria, et al.. (2019). An RFID-Enabled Automated Storage and Retrieval System via Microcontroller Stepper Motor Control. 1. 1–4. 2 indexed citations
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Drakaki, Maria, Yannis L. Karnavas, Athanasios Karlis, Ioannis D. Chasiotis, & Panagiotis Tzionas. (2019). Study on fault diagnosis of broken rotor bars in squirrel cage induction motors: a multi‐agent system approach using intelligent classifiers. IET Electric Power Applications. 14(2). 245–255. 34 indexed citations
14.
Drakaki, Maria, Hacer Güner Gören, & Panagiotis Tzionas. (2019). A Multi-Agent based Decision Framework for Sustainable Supplier Selection, Order Allocation and Routing Problem. 621–628. 5 indexed citations
15.
Drakaki, Maria & Panagiotis Tzionas. (2017). Manufacturing Scheduling Using Colored Petri Nets and Reinforcement Learning. Applied Sciences. 7(2). 136–136. 37 indexed citations
16.
Drakaki, Maria & Panagiotis Tzionas. (2015). Modeling and performance evaluation of an agent-based warehouse dynamic resource allocation using Colored Petri Nets. International Journal of Computer Integrated Manufacturing. 29(7). 736–753. 17 indexed citations
17.
Drakaki, Maria, S. Siskos, & Alkis Hatzopoulos. (2011). A 0.5–20GHz bandwidth enhanced distributed amplifier. Microelectronic Engineering. 90. 26–28. 5 indexed citations
18.
Drakaki, Maria, Alkis Hatzopoulos, & S. Siskos. (2009). De-embedding method for on-wafer RF CMOS inductor measurements. Microelectronics Journal. 40(6). 958–965. 3 indexed citations
19.
Drakaki, Maria, Alkis Hatzopoulos, & S. Siskos. (2007). CMOS Inductor Performance Estimation using Z- and S-parameters. 6 indexed citations
20.
Drakaki, Maria, et al.. (2005). Complete analysis of BSIM3 noise models for the optimum design of a low noise preamplifier. Journal of Physics Conference Series. 10. 369–372. 2 indexed citations

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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