Michael Mavroforakis

1.0k total citations
15 papers, 674 citations indexed

About

Michael Mavroforakis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Michael Mavroforakis has authored 15 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Michael Mavroforakis's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Optimization Algorithms Research (3 papers). Michael Mavroforakis is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Optimization Algorithms Research (3 papers). Michael Mavroforakis collaborates with scholars based in Greece and United States. Michael Mavroforakis's co-authors include Sergios Theodoridis, Harris Georgiou, Nikos Dimitropoulos, D. Cavouras, Pantelis Bouboulis and Dionisis Cavouras and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine and Computer Methods and Programs in Biomedicine.

In The Last Decade

Michael Mavroforakis

15 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Mavroforakis Greece	11	366	306	124	77	70	15	674
Rui Min China	15	410 1.1×	345 1.1×	164 1.3×	65 0.8×	55 0.8×	70	1.0k
Y. Attikiouzel Australia	15	588 1.6×	418 1.4×	135 1.1×	29 0.4×	24 0.3×	95	897
Marcello Salmeri Italy	14	483 1.3×	407 1.3×	217 1.8×	53 0.7×	17 0.2×	74	812
Jinwen Ma China	17	568 1.6×	356 1.2×	68 0.5×	74 1.0×	22 0.3×	81	1.1k
Rongyao Hu China	18	687 1.9×	731 2.4×	81 0.7×	116 1.5×	74 1.1×	42	1.2k
Guobao Xiao China	22	298 0.8×	1.1k 3.6×	112 0.9×	173 2.2×	58 0.8×	91	1.8k
Hong Gu China	19	281 0.8×	169 0.6×	73 0.6×	305 4.0×	34 0.5×	72	1.0k
D.W. Ruck United States	8	516 1.4×	229 0.7×	62 0.5×	48 0.6×	23 0.3×	16	843
Jiangzhang Gan China	13	431 1.2×	293 1.0×	78 0.6×	47 0.6×	20 0.3×	24	716

Countries citing papers authored by Michael Mavroforakis

Since Specialization

Citations

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

Fields of papers citing papers by Michael Mavroforakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Mavroforakis

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

All Works

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15 of 15 papers shown

Bouboulis, Pantelis, Sergios Theodoridis, & Michael Mavroforakis. (2012). The Augmented Complex Kernel LMS. IEEE Transactions on Signal Processing. 60(9). 4962–4967. 33 indexed citations

Bouboulis, Pantelis & Michael Mavroforakis. (2011). Reproducing Kernel Hilbert Spaces and fractal interpolation. Journal of Computational and Applied Mathematics. 235(12). 3425–3434. 22 indexed citations

Mavroforakis, Michael, et al.. (2011). A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. Computer Methods and Programs in Biomedicine. 102(1). 47–63. 94 indexed citations

Mavroforakis, Michael, et al.. (2009). A Fully Automated Scheme For Breast Density Estimation And Asymmetry Detection Of Mammograms. Zenodo (CERN European Organization for Nuclear Research). 1869–1873. 1 indexed citations

Georgiou, Harris, et al.. (2009). A fully automated complete segmentation scheme for mammograms. 11. 1–6. 9 indexed citations

Georgiou, Harris, Michael Mavroforakis, Nikos Dimitropoulos, Dionisis Cavouras, & Sergios Theodoridis. (2007). Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes. Artificial Intelligence in Medicine. 41(1). 39–55. 37 indexed citations

Theodoridis, Sergios & Michael Mavroforakis. (2007). Reduced Convex Hulls: A Geometric Approach to Support Vector Machines. 13 indexed citations

Theodoridis, Sergios & Michael Mavroforakis. (2007). Reduced Convex Hulls: A Geometric Approach to Support Vector Machines [Lecture Notes]. IEEE Signal Processing Magazine. 24(3). 119–122. 20 indexed citations

Mavroforakis, Michael, Harris Georgiou, Nikos Dimitropoulos, D. Cavouras, & Sergios Theodoridis. (2006). Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers. Artificial Intelligence in Medicine. 37(2). 145–162. 88 indexed citations

10.

Mavroforakis, Michael & Sergios Theodoridis. (2006). A geometric approach to Support Vector Machine (SVM) classification. IEEE Transactions on Neural Networks. 17(3). 671–682. 289 indexed citations

11.

Mavroforakis, Michael, et al.. (2006). A novel SVM Geometric Algorithm based on Reduced Convex Hulls. 564–568. 16 indexed citations

12.

Mavroforakis, Michael, Harris Georgiou, Nikos Dimitropoulos, D. Cavouras, & Sergios Theodoridis. (2005). Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines. European Journal of Radiology. 54(1). 80–89. 28 indexed citations

13.

Mavroforakis, Michael & Sergios Theodoridis. (2005). Support Vector Machine (Svm) Classification Through Geometry. Zenodo (CERN European Organization for Nuclear Research). 1–4. 13 indexed citations

14.

Mavroforakis, Michael, Harris Georgiou, D. Cavouras, Nikos Dimitropoulos, & Sergios Theodoridis. (2003). Mammographic mass classification using textural features and descriptive diagnostic data. 461–464. 10 indexed citations

15.

Georgiou, Harris, Michael Mavroforakis, D. Cavouras, Nikos Dimitropoulos, & Sergios Theodoridis. (2003). Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features. 465–468. 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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