Mihaela Gordan

403 citations
46 papers · 260 indexed · h-index 8
Topics
Image and Signal Denoising Methods (8 papers)Advanced Vision and Imaging (8 papers)Advanced Data Compression Techniques (7 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Soft ComputingMachine Vision and Applications
Partner nations
RomaniaGreeceSpain

In The Last Decade

Mihaela Gordan

45 papers receiving 232 citations

Peers

Mihaela Gordan
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 155
  • Signal Processing 58
  • Artificial Intelligence 52
  • Media Technology 32
  • Electrical and Electronic Engineering 21
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Citations per field
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Citations per year

Countries citing papers authored by Mihaela Gordan

Since Specialization
Citations

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

Fields of papers citing papers by Mihaela Gordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihaela Gordan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
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4 6
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A Hybrid 3D Learning-and-Interaction-based Segmentation Approach Applied on CT Liver Volumes
2
8 1
9
Camera calibration using two or three vanishing points
28
10
Eye color classification for makeup improvement
1
11
Fuzzy versus crisp stereo calibration: A comparative study
3
12
A fuzzy logic-guided virtual probe for 3D visual interaction applications
2
13
Fusion based approach for thermal and visible face recognition under pose and expresivity variation
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Computationally efficient algorithm for fuzzy rule-based enhancement on JPEG compressed color images
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15
Compressed domain implementation of fuzzy rule-based contrast enhancement
2
16
Bayesian segmentation of hepatic biopsy color images in the JPEG compressed domain
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An ensemble of SOM networks for document organization and retrieval
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19 8
20 27

About Mihaela Gordan

Mihaela Gordan is a scholar working on Computer Vision and Pattern Recognition, Geology and Signal Processing, having authored 46 papers that have together received 260 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Vision and Imaging (8 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Signal Processing (58 citations) and Media Technology (32 citations). Mihaela Gordan has collaborated with scholars based in Romania, Greece and Spain. Frequent co-authors include Aurel Vlaicu, Constantine Kotropoulos, Ioannis Pitas, Bogdan Orza, Apostolos Georgakis, Joaquím Salví, Gabriel Oltean, Haibo Li, Florin Pop and Joan Batlle. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Machine Vision and Applications.

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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