V. Megalooikonomou

512 total citations
20 papers, 254 citations indexed

About

V. Megalooikonomou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, V. Megalooikonomou has authored 20 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in V. Megalooikonomou's work include Image Retrieval and Classification Techniques (5 papers), Time Series Analysis and Forecasting (4 papers) and AI in cancer detection (4 papers). V. Megalooikonomou is often cited by papers focused on Image Retrieval and Classification Techniques (5 papers), Time Series Analysis and Forecasting (4 papers) and AI in cancer detection (4 papers). V. Megalooikonomou collaborates with scholars based in United States, Greece and France. V. Megalooikonomou's co-authors include Christos Faloutsos, Guodong Li, Despina Kontos, Qiang Wang, Predrag R. Bakić, Andrew D. A. Maidment, James Ford, Fillia Makedon, Andrew J. Saykin and Rolf Lakaemper and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Medical Imaging.

In The Last Decade

V. Megalooikonomou

19 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Megalooikonomou United States	9	100	99	88	28	27	20	254
Namgil Lee South Korea	9	29 0.3×	35 0.4×	35 0.4×	20 0.7×	33 1.2×	23	226
Jisha John India	8	29 0.3×	149 1.5×	66 0.8×	12 0.4×	19 0.7×	25	282
Christine Keribin France	8	32 0.3×	107 1.1×	25 0.3×	6 0.2×	42 1.6×	13	270
Po-Whei Huang Taiwan	6	34 0.3×	58 0.6×	278 3.2×	8 0.3×	33 1.2×	11	359
Srikumar Sastry United States	4	27 0.3×	42 0.4×	74 0.8×	5 0.2×	7 0.3×	13	203
Qing Mai United States	12	15 0.1×	138 1.4×	63 0.7×	18 0.6×	43 1.6×	30	362
Lingraj Dora India	7	20 0.2×	116 1.2×	166 1.9×	5 0.2×	70 2.6×	19	314
Luisa Micó Spain	8	98 1.0×	115 1.2×	119 1.4×	3 0.1×	5 0.2×	16	218
M. Wilscy India	14	50 0.5×	124 1.3×	315 3.6×	11 0.4×	7 0.3×	54	430

Countries citing papers authored by V. Megalooikonomou

Since Specialization

Citations

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

Fields of papers citing papers by V. Megalooikonomou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Megalooikonomou

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

All Works

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20 of 20 papers shown

Megalooikonomou, V., et al.. (2022). An improved SqueezeNet model for the diagnosis of lung cancer in CT scans. SHILAP Revista de lepidopterología. 10. 100399–100399. 28 indexed citations

Papakonstantinou, Eleni, et al.. (2022). The medical cyborg concept.. EMBnet journal. 27. e1005–e1005. 3 indexed citations

Papakonstantinou, Eleni, Flora Bacopoulou, V. Megalooikonomou, et al.. (2022). Molecular fusion events in carcinogenic organisms: a bioinformatics study for the detection of fused proteins between viruses, bacteria and eukaryotes.. EMBnet journal. 27. e1004–e1004. 2 indexed citations

Kalamaras, Ilias, et al.. (2021). Graph-based visualization of sensitive medical data. Multimedia Tools and Applications. 81(1). 209–236. 8 indexed citations

Alexakos, Christos, Panagiotis Papadimitroulas, D Mihailidis, et al.. (2015). SU-E-I-69: A Cloud Based Application for MRI Brain Image Processing. Medical Physics. 42(6Part6). 3257–3258. 2 indexed citations

Zacharaki, Evangelia I., Kyriakos Garganis, Iosif Mporas, & V. Megalooikonomou. (2014). Spike detection in EEG by LPP and SVM. 8. 668–671. 2 indexed citations

Bakić, Predrag R., et al.. (2013). Analyzing tree-shape anatomical structures using topological descriptors of branching and ensemble of classifiers.. PubMed. 7(1). 3–19. 3 indexed citations

Megalooikonomou, V., et al.. (2009). Spatial feature extraction techniques for the analysis of ductal tree structures. PubMed. 87. 6620–6623. 2 indexed citations

Megalooikonomou, V., et al.. (2008). A Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms. IEEE Transactions on Medical Imaging. 28(4). 487–493. 23 indexed citations

10.

Latecki, Longin Jan, V. Megalooikonomou, Qiang Wang, et al.. (2006). Partial Elastic Matching of Time Series. 701–704. 30 indexed citations

11.

Wang, Qiang, V. Megalooikonomou, & Despina Kontos. (2006). A Medical Image Retrieval Framework. 9. 233–238. 7 indexed citations

12.

Kontos, Despina, et al.. (2006). Classification of Galactograms Using Fractal Properties of the Breast Ductal Network. 1324–1327. 16 indexed citations

13.

Wang, Qiang, et al.. (2006). A symbolic representation of time series. 2. 655–658. 17 indexed citations

14.

Megalooikonomou, V., Despina Kontos, N. DeClaris, & Pedro Cano. (2005). Utilizing Domain Knowledge in Neural Network Models for Peptide-Allele Binding Prediction. 3. 1–8.

15.

Megalooikonomou, V., et al.. (2005). A Multiresolution Symbolic Representation of Time Series. 668–679. 64 indexed citations

16.

Kontos, Despina, V. Megalooikonomou, & James C. Gee. (2005). Reducing the Computational Cost for Statistical Medical Image Analysis: An MRI Study on the Sexual Morphological Differentiation of the Corpus Callosum. 11. 282–287. 2 indexed citations

17.

Wang, Qiang, et al.. (2004). Application of time series techniques to data mining and analysis of spatial patterns in 3D images. 3. iii–525. 12 indexed citations

18.

Megalooikonomou, V., Himadri Sekhar Dutta, & Despina Kontos. (2003). Fast and effective characterization of 3D region data. Proceedings - International Conference on Image Processing. 1. I–421. 5 indexed citations

19.

Ford, James, et al.. (2001). Spatial comparison of fMRI activation maps for data mining. NeuroImage. 13(6). 1302–1302. 3 indexed citations

20.

Megalooikonomou, V., et al.. (2000). Data mining in brain imaging. Statistical Methods in Medical Research. 9(4). 359–394. 25 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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