A. Diplaros

450 citations
7 papers · 303 · h-index 5

Impact in

    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Image Processing and 3D Reconstruction
    • Face and Expression Recognition
    • Remote-Sensing Image Classification

Papers in

A. Diplaros

7 papers receiving 268 citations

Peers

A. Diplaros
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 260
  • Media Technology 51
  • Artificial Intelligence 55
  • Signal Processing 18
  • Aerospace Engineering 33
Replace Gräf with:
Gräf Canada
Liang Lin China
Carl Case United States
Hiromitsu Yamada Japan
Xiaosheng Wu China
Yu-Chuan Su United States
Gengshen Wu China
Anders Jørgensen Denmark
Ibrahim El Rube Canada
Hedi Harzallah France
A. Diplaros relative to Gräf Canada Gräf's profile →
Citations per field
00.5×
Gräf · 1×
Citations per year

Countries citing papers authored by A. Diplaros

Since Specialization
Citations

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

Fields of papers citing papers by A. Diplaros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside A. Diplaros, 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 A. Diplaros Line = papers co-authored together A. Diplaros links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2002136
2 200784
3 200557
4 200512
5
Color-Shape Context for Object Recognition
200311
6
An efficient spatially constrained EM algorithm for image segmentation
20052
7
Exploiting Spatial Information for Image Segmentation and Retrieval
20011

About A. Diplaros

A. Diplaros is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Industrial and Manufacturing Engineering and Infectious Diseases, having authored 7 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Advanced Vision and Imaging (2 papers), Bayesian Methods and Mixture Models (2 papers), Remote-Sensing Image Classification (1 paper), Image Processing and 3D Reconstruction (1 paper), Face and Expression Recognition (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Media Technology (51 citations), Artificial Intelligence (55 citations), Signal Processing (18 citations) and Aerospace Engineering (33 citations). A. Diplaros has collaborated with scholars based in Netherlands, Greece and Canada. Frequent co-authors include Euripides G. M. Petrakis, Evangelos Milios, Nikos Vlassis, Theo Gevers, Ioannis Patras and Th. Gevers. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, UvA-DARE (University of Amsterdam) and IEEE Transactions on Neural Networks.

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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