Georgios Douzas

2.4k citations
12 papers · 1.7k indexed · 2 hit papers · h-index 11
Topics
Imbalanced Data Classification Techniques (9 papers)Machine Learning and Data Classification (4 papers)Anomaly Detection Techniques and Applications (3 papers)
Partner nations
PortugalGreeceFrance

In The Last Decade

Georgios Douzas

12 papers receiving 1.7k citations

Hit Papers

Improving imbalanced learning through a heuristic oversam...201720262020202320182017250500750

Peers

Georgios Douzas
Comparison fields: 5 of 142
  • Artificial Intelligence 1.2k
  • Electrical and Electronic Engineering 452
  • Computer Vision and Pattern Recognition 239
  • Health Information Management 153
  • Accounting 133
Replace Yanmin Sun with:
Yanmin Sun Canada
José A. Sáez Spain
Zhihua Zhou China
César García‐Osorio Spain
Chris Seiffert United States
Wenming Cao China
Chieh-Jen Wang Taiwan
Paula Branco Canada
Felix Last Germany
Joffrey L. Leevy United States
Georgios Douzas relative to Yanmin Sun Canada Yanmin Sun's profile →
Citations per field
00.5×2.7×
Yanmin Sun · 1×
Citations per year

Countries citing papers authored by Georgios Douzas

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Douzas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Douzas

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 10
2 44
3 16
4 12
5 34
6 191
7 69
8
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTEbreakdown →
805
9 141
10
Effective data generation for imbalanced learning using conditional generative adversarial networksbreakdown →
414
11 11
12 2

About Georgios Douzas

Georgios Douzas is a scholar working on Media Technology, Artificial Intelligence and Health Information Management, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (9 papers), Machine Learning and Data Classification (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Health Information Management (153 citations) and Media Technology (129 citations). Georgios Douzas has collaborated with scholars based in Portugal, Greece and France. Frequent co-authors include Fernando Bação, Felix Last, George Zoupanos, Tassos Grammatikopoulos and J. Madore. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Information Sciences.

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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