Maria Markaki

733 total citations
36 papers, 522 citations indexed

About

Maria Markaki is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Maria Markaki has authored 36 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 10 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Maria Markaki's work include Speech and Audio Processing (13 papers), Speech Recognition and Synthesis (10 papers) and Network Traffic and Congestion Control (7 papers). Maria Markaki is often cited by papers focused on Speech and Audio Processing (13 papers), Speech Recognition and Synthesis (10 papers) and Network Traffic and Congestion Control (7 papers). Maria Markaki collaborates with scholars based in Greece, Norway and Denmark. Maria Markaki's co-authors include Yannis Stylianou, Michael Taroudakis, Juan Ignacio Godino-Llorente, Julián D. Arias-Londoño, Athanasios V. Vasilakos, Ioannis Tsamardinos, Vincenzo Lagani, Oluf Dimitri Røe, Arnulf Langhammer and Kristian Hveem and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Maria Markaki

34 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Markaki Greece 12 230 208 185 71 65 36 522
Peng Xiao China 13 49 0.2× 31 0.1× 42 0.2× 20 0.3× 3 0.0× 75 525
Yi Guan China 8 118 0.5× 75 0.4× 18 0.1× 4 0.1× 21 0.3× 27 341
Antonio Miguel Spain 16 495 2.2× 469 2.3× 65 0.4× 19 0.3× 7 0.1× 90 752
Brecht Desplanques Belgium 9 819 3.6× 737 3.5× 32 0.2× 4 0.1× 10 0.2× 20 1.0k
Matthew R. Cook United States 9 28 0.1× 75 0.4× 39 0.2× 16 0.2× 44 0.7× 30 651
Pablo Gómez Germany 9 151 0.7× 34 0.2× 176 1.0× 45 0.6× 4 0.1× 21 299
Mohammad Ali Armin Australia 9 162 0.7× 15 0.1× 5 0.0× 11 0.2× 13 0.2× 18 545
Xikai Liu China 10 86 0.4× 12 0.1× 8 0.0× 4 0.1× 11 0.2× 47 356
Weiping Tu China 10 199 0.9× 117 0.6× 5 0.0× 5 0.1× 4 0.1× 62 393
Hakkı Gökhan İlk Türkiye 9 63 0.3× 56 0.3× 37 0.2× 18 0.3× 36 358

Countries citing papers authored by Maria Markaki

Since Specialization
Citations

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

Fields of papers citing papers by Maria Markaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Markaki

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Markaki. A scholar is included among the top collaborators of Maria Markaki 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 Markaki. Maria Markaki 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
1.
Papadaki, Chara, Aristeidis E. Boukouris, Maria Markaki, et al.. (2025). MicroRNA Expression Analysis and Biological Pathways in Chemoresistant Non-Small Cell Lung Cancer. Cancers. 17(15). 2504–2504.
2.
3.
Nøst, Therese Haugdahl, et al.. (2024). The HUNT lung-SNP model: genetic variants plus clinical variables improve lung cancer risk assessment over clinical models. Journal of Cancer Research and Clinical Oncology. 150(8). 389–389.
4.
Agelaki, Sofia, Maria Markaki, Chara Papadaki, et al.. (2021). MicroRNA Expression Analysis and Biological Pathways in Chemoresistant Non- Small Cell Lung Cancer. 9206–9206. 1 indexed citations
5.
Markaki, Maria, et al.. (2019). P1.11-13 Mass Spectrometry Proteomics Analysis Discovers Biomarkers in Serum Months to Years Before Non-Small Cell Lung Cancer: The HUNT Study. Journal of Thoracic Oncology. 14(10). S520–S520. 1 indexed citations
6.
Røe, Oluf Dimitri, Maria Markaki, Ioannis Tsamardinos, et al.. (2019). ‘Reduced’ HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial. BMJ Open Respiratory Research. 6(1). e000512–e000512. 10 indexed citations
7.
Markaki, Maria, Ioannis Tsamardinos, Arnulf Langhammer, et al.. (2018). A Validated Clinical Risk Prediction Model for Lung Cancer in Smokers of All Ages and Exposure Types: A HUNT Study. EBioMedicine. 31. 36–46. 47 indexed citations
8.
Orfanoudaki, Georgia, Maria Markaki, Katerina E. Chatzi, Ioannis Tsamardinos, & Anastassios Economou. (2017). MatureP: prediction of secreted proteins with exclusive information from their mature regions. Scientific Reports. 7(1). 3263–3263. 25 indexed citations
9.
Markaki, Maria, Ioannis Germanakis, & Yannis Stylianou. (2013). Automatic classification of systolic heart murmurs. 1301–1305. 18 indexed citations
10.
Arias-Londoño, Julián D., Juan Ignacio Godino-Llorente, Maria Markaki, & Yannis Stylianou. (2010). On combining information from modulation spectra and mel-frequency cepstral coefficients for automatic detection of pathological voices. Logopedics Phoniatrics Vocology. 36(2). 60–69. 59 indexed citations
11.
Markaki, Maria & Yannis Stylianou. (2010). Discrimination of speech from nonspeeech in broadcast news based on modulation frequency features. Speech Communication. 53(5). 726–735. 16 indexed citations
12.
Markaki, Maria & Yannis Stylianou. (2009). Modulation spectral features for objective voice quality assessment: the breathiness case.. 41–44. 1 indexed citations
13.
Markaki, Maria & Yannis Stylianou. (2009). Using modulation spectra for voice pathology detection and classification. PubMed. 2009. 2514–2517. 32 indexed citations
14.
Markaki, Maria, André Holzapfel, & Yannis Stylianou. (2008). Singing voice detection using modulation frequency feature.. Conference of the International Speech Communication Association. 7–10. 1 indexed citations
15.
Wohlmayr, Michael, Maria Markaki, & Yannis Stylianou. (2007). Speech - Nonspeech Discrimination Based On Speech-Relevant Spectrogram Modulations. Zenodo (CERN European Organization for Nuclear Research). 1551–1555. 1 indexed citations
16.
Markaki, Maria, et al.. (2007). MULTIMODAL SPEAKER IDENTITY CONVERSION - CONTINUED. 1 indexed citations
17.
Markaki, Maria, et al.. (2003). Efficient buffer management and scheduling in a combined IntServ and DiffServ architecture: a performance study. DSpace - NTUA (National Technical University of Athens). 236–242. 7 indexed citations
18.
Markaki, Maria, et al.. (2002). A new route selection approach using scaling techniques: an application to hierarchical QoS-based routing. DSpace - NTUA (National Technical University of Athens). 698–699. 4 indexed citations
19.
Markaki, Maria & Iakovos S. Venieris. (2002). A novel buffer management scheme for CBQ-based IP routers in a combined IntServ and DiffServ architecture. DSpace - NTUA (National Technical University of Athens). 3. 347–352. 2 indexed citations
20.
Markaki, Maria, et al.. (2000). A hybrid genetic approach for channel reuse in multiple access telecommunication networks. IEEE Journal on Selected Areas in Communications. 18(2). 234–243. 42 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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