Remus Brad

550 citations
47 papers · 381 · h-index 11

Impact in

    • Image and Object Detection Techniques
    • Advanced Vision and Imaging
    • Advanced Image Processing Techniques
    • Image and Signal Denoising Methods
    • Video Surveillance and Tracking Methods
    • Vehicle License Plate Recognition
    • Image Processing Techniques and Applications

Papers in

Remus Brad

39 papers receiving 366 citations

Peers

Remus Brad
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 201
  • Media Technology 76
  • Industrial and Manufacturing Engineering 24
  • Computer Graphics and Computer-Aided Design 7
  • Geology 10
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Citations per field
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Citations per year

Countries citing papers authored by Remus Brad

Since Specialization
Citations

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

Fields of papers citing papers by Remus Brad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Remus Brad, 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 Remus Brad Line = papers co-authored together Remus Brad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201258
2 200558
3 201421
4 202119
5
License Plate Recognition System
200218
6 201917
7 200217
8 201615
9 200415
10 201313
11 201713
12 20249
13 20219
14 20089
15 20079
16 20178
17 20206
18 20146
19 20196
20 20236

About Remus Brad

Remus Brad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computer Networks and Communications and Signal Processing, having authored 47 papers that have together received 381 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Advanced Image Fusion Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Digital Media Forensic Detection (5 papers), Medical Image Segmentation Techniques (4 papers), Misinformation and Its Impacts (4 papers), Network Security and Intrusion Detection (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Media Technology (76 citations), Industrial and Manufacturing Engineering (24 citations), Computer Graphics and Computer-Aided Design (7 citations) and Geology (10 citations). Remus Brad has collaborated with scholars based in Romania, Singapore and Pakistan. Frequent co-authors include Nusrat Sharmin, Árpád Gellért, Andrei Dragomir, Bogdan Neamţu, Constantin-Bălă Zamfirescu, Syed Muhammad Usama, Ciprian Bacilă and Adrian Florea. Their work appears in journals such as Future Internet, International Journal of Environmental Research and Public Health, Sensors, Studies in Informatics and Control and IEEE Access.

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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