Remus Brad

535 total citations
42 papers, 333 citations indexed

About

Remus Brad is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Remus Brad has authored 42 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in Remus Brad's work include Advanced Image Processing Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Digital Media Forensic Detection (5 papers). Remus Brad is often cited by papers focused on Advanced Image Processing Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Digital Media Forensic Detection (5 papers). Remus Brad collaborates with scholars based in Romania, Singapore and Pakistan. Remus Brad's co-authors include Nusrat Sharmin, Árpád Gellért, Syed Muhammad Usama, Bogdan Neamţu, Adrian Florea, Andrei Dragomir, Ciprian Bacilă and Constantin-Bălă Zamfirescu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Remus Brad

38 papers receiving 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Remus Brad Romania 10 177 68 53 27 26 42 333
Xianxiang Huang China 9 134 0.8× 92 1.4× 38 0.7× 17 0.6× 23 0.9× 37 354
Sixian Chan China 12 299 1.7× 74 1.1× 60 1.1× 12 0.4× 23 0.9× 83 475
Yingying Kong China 8 144 0.8× 81 1.2× 39 0.7× 17 0.6× 15 0.6× 41 288
M. Sami Zitouni United Arab Emirates 10 181 1.0× 26 0.4× 126 2.4× 15 0.6× 21 0.8× 39 365
Boxiong Yang China 9 136 0.8× 32 0.5× 51 1.0× 8 0.3× 30 1.2× 19 314
Božidar Potočnik Slovenia 14 266 1.5× 65 1.0× 171 3.2× 15 0.6× 76 2.9× 41 591
Sergey Sukhanov Germany 5 157 0.9× 80 1.2× 73 1.4× 44 1.6× 62 2.4× 15 373
Mingzhe Zhu China 11 89 0.5× 34 0.5× 149 2.8× 20 0.7× 24 0.9× 53 362
Reuben A. Farrugia Malta 13 546 3.1× 105 1.5× 31 0.6× 33 1.2× 30 1.2× 77 693

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-authorship network of co-authors of Remus Brad

This figure shows the co-authorship network connecting the top 25 collaborators of Remus Brad. A scholar is included among the top collaborators of Remus Brad 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 Remus Brad. Remus Brad 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
1.
Brad, Remus, et al.. (2024). IoT Device for Long-Term ECG Monitoring in Collaborative Environment. 1(1). 82–95. 1 indexed citations
2.
Brad, Remus, et al.. (2024). Lung Sounds Anomaly Detection with Respiratory Cycle Segmentation. BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE. 15(3). 188–196. 1 indexed citations
3.
Gellért, Árpád, et al.. (2024). Architectural and Technological Approaches for Efficient Energy Management in Multicore Processors. Computers. 13(4). 84–84. 1 indexed citations
4.
Brad, Remus, et al.. (2024). A Comparative Study in Large Language Models Usage for Fake News Detection. 4(4). 2810–2823.
5.
Brad, Remus, et al.. (2024). Enhanced Wavelet Scattering Network for Image Inpainting Detection. Computation. 12(11). 228–228. 1 indexed citations
6.
Brad, Remus, et al.. (2024). Image Inpainting Forgery Detection: A Review. Journal of Imaging. 10(2). 42–42. 8 indexed citations
7.
Gellért, Árpád, et al.. (2024). Improving Multicore Architectures by Selective Value Prediction of High-Latency Arithmetic Instructions. Advances in Electrical and Computer Engineering. 24(2). 61–72. 1 indexed citations
8.
Brad, Remus, et al.. (2024). LLaMA 3 vs. State-of-the-Art Large Language Models: Performance in Detecting Nuanced Fake News. Computers. 13(11). 292–292. 2 indexed citations
9.
Brad, Remus, et al.. (2023). An Overview on Sound Features in Time and Frequency Domain. 13(1). 45–58. 5 indexed citations
10.
Brad, Remus, et al.. (2023). Image Inpainting Forgery Detection: A Review. Preprints.org. 2 indexed citations
11.
Brad, Remus, et al.. (2023). O comparație a modelelor de inteligență artificială folosite pentru detectarea știrilor false. 12(1). 81–99. 1 indexed citations
12.
Brad, Remus, et al.. (2023). A comparison of artificial intelligence models used for fake news detection. SHILAP Revista de lepidopterología. 12(1). 114–131. 4 indexed citations
13.
Neamţu, Bogdan, et al.. (2021). A Decision-Tree Approach to Assist in Forecasting the Outcomes of the Neonatal Brain Injury. International Journal of Environmental Research and Public Health. 18(9). 4807–4807. 19 indexed citations
14.
Brad, Remus, et al.. (2021). Accelerating Causal Inference and Feature Selection Methods through G-Test Computation Reuse. Entropy. 23(11). 1501–1501. 1 indexed citations
15.
Gellért, Árpád & Remus Brad. (2017). Studying the influence of search rule and context shape in filtering impulse noise images with Markov chains. Signal Image and Video Processing. 12(2). 315–322. 7 indexed citations
16.
Brad, Remus, et al.. (2017). A Comparative Study of Block Matching Optical Flow Algorithms. TEM Journal. 760–770. 1 indexed citations
17.
Brad, Remus, et al.. (2017). Fabric Defect Detection Using Fourier Transform and Gabor Filters. Journal of Textile Engineering & Fashion Technology. 3(4). 3 indexed citations
18.
Gellért, Árpád & Remus Brad. (2016). Context‐based prediction filtering of impulse noise images. IET Image Processing. 10(6). 429–437. 15 indexed citations
19.
Brad, Remus, et al.. (2010). Infrared satellite image segmentation. 100–105. 2 indexed citations
20.
Brad, Remus. (2002). License Plate Recognition System. 18 indexed citations

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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