Manolis Μaragoudakis

1.7k total citations
87 papers, 831 citations indexed

About

Manolis Μaragoudakis is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Manolis Μaragoudakis has authored 87 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 13 papers in Signal Processing and 12 papers in Information Systems. Recurrent topics in Manolis Μaragoudakis's work include Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Bayesian Modeling and Causal Inference (9 papers). Manolis Μaragoudakis is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Bayesian Modeling and Causal Inference (9 papers). Manolis Μaragoudakis collaborates with scholars based in Greece, United Arab Emirates and United States. Manolis Μaragoudakis's co-authors include Constantinos Kolias, Georgios Kambourakis, Stefanos Gritzalis, Georgios N. Yannakakis, Euripidis Loukis, John Hallam, Katia Lida Kermanidis, Euripides Loukis, Ilias Maglogiannis and Nikos Fakotakis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Applied Sciences.

In The Last Decade

Manolis Μaragoudakis

79 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manolis Μaragoudakis Greece 15 463 172 138 122 120 87 831
Giuseppe D’Aniello Italy 17 363 0.8× 97 0.6× 152 1.1× 71 0.6× 111 0.9× 64 806
Sanjay Singh India 15 408 0.9× 101 0.6× 200 1.4× 50 0.4× 93 0.8× 85 863
Eva Onaindía Spain 15 432 0.9× 145 0.8× 310 2.2× 67 0.5× 171 1.4× 91 909
Rajendra Pamula India 19 573 1.2× 271 1.6× 260 1.9× 96 0.8× 92 0.8× 69 1.1k
Jim Blythe United States 20 677 1.5× 252 1.5× 385 2.8× 101 0.8× 133 1.1× 72 1.2k
Jason C. Hung Taiwan 17 340 0.7× 117 0.7× 149 1.1× 67 0.5× 73 0.6× 117 966
Maarten van Someren Netherlands 16 620 1.3× 65 0.4× 244 1.8× 75 0.6× 128 1.1× 43 1.2k
Panagiotis Mitzias Greece 4 317 0.7× 103 0.6× 247 1.8× 39 0.3× 61 0.5× 15 901
Amos Azaria Israel 17 548 1.2× 160 0.9× 370 2.7× 113 0.9× 262 2.2× 76 1.2k
Gema Bello-Orgaz Spain 12 370 0.8× 146 0.8× 191 1.4× 54 0.4× 195 1.6× 26 1000

Countries citing papers authored by Manolis Μaragoudakis

Since Specialization
Citations

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

Fields of papers citing papers by Manolis Μaragoudakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manolis Μaragoudakis

This figure shows the co-authorship network connecting the top 25 collaborators of Manolis Μaragoudakis. A scholar is included among the top collaborators of Manolis Μaragoudakis 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 Manolis Μaragoudakis. Manolis Μaragoudakis 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.
Sarlis, Vangelis, et al.. (2025). A Multimodal Framework Embedding Retrieval-Augmented Generation with MLLMs for Eurobarometer Data. AI. 6(3). 50–50. 1 indexed citations
2.
Μaragoudakis, Manolis, et al.. (2025). Optimized Neural Network Architectures for Brain Tumor Classification and Precision Medicine. International Journal of Artificial Intelligence Tools. 34(6).
3.
Μaragoudakis, Manolis, et al.. (2024). Advanced CNN Architectures for Improved Garbage Image Classification: An In-depth Evaluation. 85–90. 1 indexed citations
4.
Sarlis, Vangelis, et al.. (2024). Enhancing E-Government Services through State-of-the-Art, Modular, and Reproducible Architecture over Large Language Models. Applied Sciences. 14(18). 8259–8259. 4 indexed citations
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Loukis, Euripidis, et al.. (2023). Predicting firms’ resilience to economic crisis using artificial intelligence for optimizing economic stimulus programs. Transforming Government People Process and Policy. 18(3). 400–416. 1 indexed citations
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Μaragoudakis, Manolis, et al.. (2022). Breast Cancer Classification of Histopathological Images using Deep Convolutional Neural Networks. 1–6. 10 indexed citations
10.
Μaragoudakis, Manolis, et al.. (2017). Predicting Depression: a comparative study of machine learning approaches based on language usage.. SHILAP Revista de lepidopterología. 7 indexed citations
11.
Gritzalis, Stefanos, et al.. (2014). Improving Quality of Educational Processes Providing New Knowledge Using Data Mining Techniques. Procedia - Social and Behavioral Sciences. 147. 390–397. 42 indexed citations
12.
Μaragoudakis, Manolis, et al.. (2014). Privacy Preserving Data Mining Using Radial Basis Functions on Horizontally Partitioned Databases in the Malicious Model. International Journal of Artificial Intelligence Tools. 23(5). 1450007–1450007. 2 indexed citations
13.
Μaragoudakis, Manolis, Euripidis Loukis, & Yannis Charalabidis. (2011). A Review of Opinion Mining Methods for Analyzing Citizens’ Contributions in Public Policy Debate. Lecture notes in computer science. 298–313. 27 indexed citations
14.
Magkos, Emmanouil, et al.. (2009). Accurate and large-scale privacy-preserving data mining using the election paradigm. Data & Knowledge Engineering. 68(11). 1224–1236. 20 indexed citations
15.
Τσέλιος, Νικόλαος, et al.. (2006). Enhancing User Support in Open Problem Solving Environments through Bayesian Network Inference Techniques. Educational Technology & Society. 9(4). 150–165. 5 indexed citations
16.
Μaragoudakis, Manolis, et al.. (2006). Dealing with Imbalanced Data using Bayesian Techniques. Language Resources and Evaluation. 1045–1050. 3 indexed citations
17.
Yannakakis, Georgios N. & Manolis Μaragoudakis. (2005). Player Modeling Impact on Player's Entertainment in Computer Games. University of Southern Denmark Research Portal (University of Southern Denmark). 10 indexed citations
18.
Zervas, Panagiotis, Manolis Μaragoudakis, Nikos Fakotakis, & George Kokkinakis. (2004). Learning to Predict Pitch Accents Using Bayesian Belief Networks for Greek Language.. Language Resources and Evaluation. 1 indexed citations
19.
Μaragoudakis, Manolis, Nikos Fakotakis, & George Kokkinakis. (2004). A Bayesian Model for Shallow Syntactic Parsing of Natural Language Texts.. Language Resources and Evaluation. 2 indexed citations
20.
Μaragoudakis, Manolis, Katia Lida Kermanidis, Nikos Fakotakis, & George Kokkinakis. (2002). Combining Bayesian and Support Vector Machines Learning to automatically complete Syntactical Information for HPSG-like Formalisms.. Language Resources and Evaluation. 1 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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