Romulus Terebeş

568 total citations
44 papers, 284 citations indexed

About

Romulus Terebeş is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Romulus Terebeş has authored 44 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 17 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Romulus Terebeş's work include Image and Signal Denoising Methods (18 papers), Medical Image Segmentation Techniques (10 papers) and Remote-Sensing Image Classification (9 papers). Romulus Terebeş is often cited by papers focused on Image and Signal Denoising Methods (18 papers), Medical Image Segmentation Techniques (10 papers) and Remote-Sensing Image Classification (9 papers). Romulus Terebeş collaborates with scholars based in Romania, France and China. Romulus Terebeş's co-authors include Serban Meza, Bogdan Orza, Monica Borda, Olivier Lavialle, Christian Germain, Pierre Baylou, I. Pop, Ramona Gălătuș, Baozong Yuan and Sébastien Guillon and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

Romulus Terebeş

39 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romulus Terebeş Romania 9 91 89 52 51 31 44 284
Yashwant Kurmi India 12 147 1.6× 136 1.5× 55 1.1× 72 1.4× 73 2.4× 30 338
Julien Mille France 8 72 0.8× 147 1.7× 11 0.2× 22 0.4× 35 1.1× 16 247
Hrant Khachatrian Armenia 7 55 0.6× 60 0.7× 39 0.8× 15 0.3× 40 1.3× 22 225
Xiwang Xie China 10 64 0.7× 253 2.8× 87 1.7× 28 0.5× 111 3.6× 18 466
Wenyan Pan China 7 60 0.7× 225 2.5× 46 0.9× 30 0.6× 67 2.2× 12 359
Sarah Taghavi Namin Australia 7 105 1.2× 45 0.5× 10 0.2× 24 0.5× 23 0.7× 9 214
Pendar Alirezazadeh Spain 8 120 1.3× 143 1.6× 13 0.3× 42 0.8× 88 2.8× 21 309
María Díaz Spain 13 41 0.5× 141 1.6× 187 3.6× 41 0.8× 37 1.2× 26 384
Shuwei Shi China 6 58 0.6× 231 2.6× 124 2.4× 20 0.4× 20 0.6× 9 369

Countries citing papers authored by Romulus Terebeş

Since Specialization
Citations

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

Fields of papers citing papers by Romulus Terebeş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romulus Terebeş

This figure shows the co-authorship network connecting the top 25 collaborators of Romulus Terebeş. A scholar is included among the top collaborators of Romulus Terebeş 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 Romulus Terebeş. Romulus Terebeş 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.
Saroşi, Codruţa, et al.. (2023). Classification of Food Additives Using UV Spectroscopy and One-Dimensional Convolutional Neural Network. Sensors. 23(17). 7517–7517. 12 indexed citations
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Terebeş, Romulus, et al.. (2022). Automatic detection of melanoma by deep learning models-based feature extraction and fine-tuning strategy. IOP Conference Series Materials Science and Engineering. 1254(1). 12035–12035. 3 indexed citations
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Terebeş, Romulus, et al.. (2020). Grape Leaf Disease Classification using LBP-derived Texture Operators and Colour. 1–6. 8 indexed citations
8.
Terebeş, Romulus, et al.. (2019). Hyperspectral Image Classification using the MRELBP Texture Descriptor. 1–6. 1 indexed citations
9.
Terebeş, Romulus, et al.. (2019). An improved NLM filter with increased noise robustness and adaptive similarity function. 365–370. 2 indexed citations
10.
Terebeş, Romulus, et al.. (2014). Low-complexity PDE-based approach for automatic microarray image processing. Medical & Biological Engineering & Computing. 53(2). 99–110. 12 indexed citations
11.
Terebeş, Romulus, et al.. (2014). Combining feature extraction level and score level fusion in a multimodal biometric system. 1–4. 3 indexed citations
12.
Terebeş, Romulus, et al.. (2012). Time series analysis using wavelets and GJR-GARCH models. European Signal Processing Conference. 2138–2142. 2 indexed citations
13.
Borda, Monica, et al.. (2012). FPGA based system for automatic cDNA microarray image processing. Computerized Medical Imaging and Graphics. 36(5). 419–429. 8 indexed citations
14.
Borda, Monica, et al.. (2011). FPGA based SoC for automated cDNA microarray image processing. 1–4. 3 indexed citations
15.
Pop, I., Romulus Terebeş, Jean‐Pierre da Costa, et al.. (2010). A novel 3D anisotropic diffusion filter. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7526. 752603–752603.
16.
Pop, I., Olivier Lavialle, Romulus Terebeş, & Monica Borda. (2007). Low-level fusion: a PDE-based approach. 3708. 1–8. 4 indexed citations
17.
Pop, I., Romulus Terebeş, Monica Borda, & Olivier Lavialle. (2007). Pixel-Level Fusion: a PDE-Based Approach. 3708. 1–4. 2 indexed citations
18.
Pop, I., Romulus Terebeş, Monica Borda, et al.. (2007). 3D Seismic Data Fusion and Filtering using a PDE-Based Approach. 3708. IV – 117. 2 indexed citations
19.
Terebeş, Romulus, et al.. (2003). Adaptive filtering using morphological operators and genetic algorithms. 1. 853–857. 3 indexed citations
20.
Terebeş, Romulus, Olivier Lavialle, Pierre Baylou, & Monica Borda. (2003). Mixed anisotropic diffusion. 3. 760–763. 5 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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