Michael Mavroforakis

1.0k citations
15 papers · 678 · h-index 11

Impact in

Papers in

Michael Mavroforakis

15 papers receiving 643 citations

Peers

Michael Mavroforakis
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 296
  • Artificial Intelligence 349
  • Radiology, Nuclear Medicine and Imaging 102
  • Signal Processing 52
  • Analytical Chemistry 36
Replace Rui Min with:
Rui Min China
Jinwen Ma China
I. El-Naqa United States
M. Arif Wani India
Reshad Hosseini Iran
Y. Attikiouzel Australia
Md. Monirul Kabir Bangladesh
Xavier Muller Canada
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Mehdi Agha Sarram Iran
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Citations per field
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Citations per year

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-authors

The 6 scholars most cited alongside Michael Mavroforakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Mavroforakis Line = papers co-authored together Michael Mavroforakis links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2006292
2 201195
3 200688
4 200737
5 201233
6 200528
7 201122
8 200720
9 200616
10 200513
11
Reduced Convex Hulls: A Geometric Approach to Support Vector Machines
200713
12 200310
13 20099
14 20091
15 20031

About Michael Mavroforakis

Michael Mavroforakis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Numerical Analysis and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 678 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Medical Image Segmentation Techniques (3 papers), Advanced Optimization Algorithms Research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Image and Signal Denoising Methods (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Numerical Analysis Techniques (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (296 citations), Artificial Intelligence (349 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Signal Processing (52 citations) and Analytical Chemistry (36 citations). Michael Mavroforakis has collaborated with scholars based in Greece and United States. Frequent co-authors include Sergios Theodoridis, Nikos Dimitropoulos, Harris Georgiou, D. Cavouras, Pantelis Bouboulis and Dionisis Cavouras. Their work appears in journals such as Artificial Intelligence in Medicine, Computer Methods and Programs in Biomedicine, IEEE Signal Processing Magazine, European Journal of Radiology and IEEE Transactions on Signal Processing.

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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