Maria Markaki

57 total papers · 728 total citations
36 papers, 516 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 516 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 Georgia. Maria Markaki's co-authors include Yannis Stylianou, Michael Taroudakis, Julián D. Arias-Londoño, Juan Ignacio Godino-Llorente, Athanasios V. Vasilakos, Ioannis Tsamardinos, Oluf Dimitri Røe, Vincenzo Lagani, Kristian Hveem and Arnulf Langhammer 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 484 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Markaki 232 210 182 69 65 36 516
Spyridon K. Chronopoulos 61 0.3× 15 0.1× 131 0.7× 44 0.6× 4 0.1× 57 516
Peng Xiao 49 0.2× 29 0.1× 42 0.2× 20 0.3× 3 0.0× 74 517
Onur Osman 160 0.7× 13 0.1× 5 0.0× 117 1.7× 13 0.2× 71 531
Laura Verde 250 1.1× 177 0.8× 232 1.3× 75 1.1× 3 0.0× 36 476
Baiyu Li 185 0.8× 67 0.3× 19 0.1× 6 0.1× 22 0.3× 55 455
Xian Zhao 45 0.2× 45 0.2× 14 0.1× 15 0.2× 5 0.1× 46 563
Wenyu Jin 129 0.6× 220 1.0× 28 0.2× 1 0.0× 23 0.4× 23 455
Ashwin Vaidya 56 0.2× 5 0.0× 81 0.4× 14 0.2× 4 0.1× 62 533
Vamsi Krishna Ithapu 112 0.5× 131 0.6× 18 0.1× 17 0.2× 3 0.0× 37 451
Fei Gao 272 1.2× 29 0.1× 17 0.1× 33 0.5× 1 0.0× 26 524

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

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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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