Dimitris Liparas

447 total citations
12 papers, 246 citations indexed

About

Dimitris Liparas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Dimitris Liparas has authored 12 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Dimitris Liparas's work include Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Neural dynamics and brain function (3 papers). Dimitris Liparas is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Neural dynamics and brain function (3 papers). Dimitris Liparas collaborates with scholars based in Greece, Germany and United Kingdom. Dimitris Liparas's co-authors include Stavros I. Dimitriadis, Magda Tsolaki, Lefteris Angelis, Robert Feldt, Nikolaos Laskaris, Ioannis Kompatsiaris, Ilias Gialampoukidis, Areti Tzelepi, Anastasia Moumtzidou and Stefanos Vrochidis and has published in prestigious journals such as Expert Systems with Applications, Journal of Neuroscience Methods and Journal of Neural Engineering.

In The Last Decade

Dimitris Liparas

11 papers receiving 239 citations

Peers

Dimitris Liparas
Gang Qu United States
Md Abdur Rahaman United States
Md Azam Hossain Bangladesh
Ammarah Farooq United Kingdom
Dimitris Liparas
Citations per year, relative to Dimitris Liparas Dimitris Liparas (= 1×) peers Loukas Ilias

Countries citing papers authored by Dimitris Liparas

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris Liparas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitris Liparas

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitris Liparas. A scholar is included among the top collaborators of Dimitris Liparas 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 Dimitris Liparas. Dimitris Liparas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Dimitriadis, Stavros I., et al.. (2021). An automatic sleep disorder detection based on EEG cross-frequency coupling and random forest model. Journal of Neural Engineering. 18(4). 46064–46064. 28 indexed citations
2.
Vrochidis, Stefanos, Anastasia Moumtzidou, Ilias Gialampoukidis, et al.. (2018). A Multimodal Analytics Platform for Journalists Analyzing Large-Scale, Heterogeneous Multilingual, and Multimedia Content. Frontiers in Robotics and AI. 5. 123–123. 1 indexed citations
5.
Gialampoukidis, Ilias, Anastasia Moumtzidou, Dimitris Liparas, et al.. (2017). Multimedia retrieval based on non-linear graph-based fusion and partial least squares regression. Multimedia Tools and Applications. 76(21). 22383–22403. 3 indexed citations
6.
Moumtzidou, Anastasia, et al.. (2016). A multimedia interactive search engine based on graph-based and non-linear multimodal fusion. Repositori digital de la UPF (Universitat Pompeu Fabra). 1–4. 1 indexed citations
7.
Gialampoukidis, Ilias, Anastasia Moumtzidou, Dimitris Liparas, Stefanos Vrochidis, & Ioannis Kompatsiaris. (2016). A hybrid graph-based and non-linear late fusion approach for multimedia retrieval. Repositori digital de la UPF (Universitat Pompeu Fabra). 4. 1–6. 7 indexed citations
8.
Vrochidis, Stefanos, Ioannis Kompatsiaris, Ioannis Arapakis, et al.. (2015). MULTISENSOR: Development of multimedia content integration technologies for journalism, media monitoring and international exporting decision support. Repositori digital de la UPF (Universitat Pompeu Fabra). 1–4. 1 indexed citations
9.
Liparas, Dimitris, et al.. (2014). Exploiting the temporal patterning of transient VEP signals: A statistical single-trial methodology with implications to brain–computer interfaces (BCIs). Journal of Neuroscience Methods. 232. 189–198. 12 indexed citations
10.
Liparas, Dimitris, Anastasia Moumtzidou, Stefanos Vrochidis, & Ioannis Kompatsiaris. (2014). Concept-oriented labelling of patent images based on Random Forests and proximity-driven generation of synthetic data. 25–32. 1 indexed citations
11.
Liparas, Dimitris, Nikolaos Laskaris, & Lefteris Angelis. (2012). Incorporating resting state dynamics in the analysis of encephalographic responses by means of the Mahalanobis–Taguchi strategy. Expert Systems with Applications. 40(7). 2621–2630. 14 indexed citations
12.
Liparas, Dimitris, Lefteris Angelis, & Robert Feldt. (2011). Applying the Mahalanobis-Taguchi strategy for software defect diagnosis. Automated Software Engineering. 19(2). 141–165. 24 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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