Tudor Barbu

923 total citations
74 papers, 548 citations indexed

About

Tudor Barbu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Tudor Barbu has authored 74 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Tudor Barbu's work include Image and Signal Denoising Methods (33 papers), Advanced Image Processing Techniques (24 papers) and Image Retrieval and Classification Techniques (11 papers). Tudor Barbu is often cited by papers focused on Image and Signal Denoising Methods (33 papers), Advanced Image Processing Techniques (24 papers) and Image Retrieval and Classification Techniques (11 papers). Tudor Barbu collaborates with scholars based in Romania, Czechia and United Kingdom. Tudor Barbu's co-authors include Viorel Barbu, Veronica Biga, Costică Moroşanu, Daniel Coca, Adrian Ciobanu, Angelo Favini, Alain Miranville, Vasile Drug, Cristian Rotariu and Hariton Costin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Association for Information Systems and Applied Mathematics and Computation.

In The Last Decade

Tudor Barbu

64 papers receiving 506 citations

Peers

Tudor Barbu
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 407
  • Media Technology 98
  • Signal Processing 95
  • Artificial Intelligence 54
  • Computational Mechanics 49
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Citations per field, relative to Tudor Barbu
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Citations per year, relative to Tudor Barbu
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Countries citing papers authored by Tudor Barbu

Since Specialization
Citations

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

Fields of papers citing papers by Tudor Barbu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tudor Barbu

This figure shows the co-authorship network connecting the top 25 collaborators of Tudor Barbu. A scholar is included among the top collaborators of Tudor Barbu 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 Tudor Barbu. Tudor Barbu 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
# Work Indexed citations
1 0
2 0
3 2
4 1
5 8
6 8
7 1
8 9
9 11
10
Nonlinear Second-Order Partial Differential Equation-Based Image Smoothing Technique
1
11
Rigorous mathematical investigation of a nonlinear anisotropic diffusion-based image restoration model
17
12
Extending Swarm Communication to Unify Choreography and Long-lived Processes
3
13 23
14 9
15
NOVEL APPROACH FOR MOVING HUMAN DETECTION AND TRACKING IN STATIC CAMERA VIDEO SEQUENCES
2
16
Automatic unsupervised shape recognition technique using moment invariants
3
17
FINGERPRINT MATCHING APPROACH USING A NOVEL METRIC
2
18 9
19 15
20
AN AUTOMATIC UNSUPERVISED PATTERN RECOGNITION APPROACH
12

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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