Alin Achim

4.8k total citations
156 papers, 3.3k citations indexed

About

Alin Achim is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Alin Achim has authored 156 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 51 papers in Media Technology and 31 papers in Biomedical Engineering. Recurrent topics in Alin Achim's work include Image and Signal Denoising Methods (40 papers), Advanced Image Fusion Techniques (38 papers) and Sparse and Compressive Sensing Techniques (20 papers). Alin Achim is often cited by papers focused on Image and Signal Denoising Methods (40 papers), Advanced Image Fusion Techniques (38 papers) and Sparse and Compressive Sensing Techniques (20 papers). Alin Achim collaborates with scholars based in United Kingdom, France and United States. Alin Achim's co-authors include Panagiotis Tsakalides, Anastasios Bezerianos, David Bull, Naim Dahnoun, Erçan E. Kuruoğlu, Nantheera Anantrasirichai, Nishan Canagarajah, Yifei Wang, Tao Wan and Artur Łoza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Alin Achim

146 papers receiving 3.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alin Achim 1.9k 1.2k 468 421 357 156 3.3k
Panagiotis Tsakalides 1.4k 0.7× 865 0.7× 298 0.6× 302 0.7× 389 1.1× 184 3.4k
Feng Gao 1.1k 0.6× 1.4k 1.2× 428 0.9× 368 0.9× 364 1.0× 194 3.0k
Jean‐Yves Tourneret 1.5k 0.8× 2.4k 2.0× 796 1.7× 532 1.3× 1.1k 3.1× 242 5.3k
Ding Liu 3.8k 2.0× 1.5k 1.3× 277 0.6× 331 0.8× 543 1.5× 122 5.7k
Vishal Monga 1.9k 1.0× 481 0.4× 919 2.0× 266 0.6× 590 1.7× 160 3.6k
Jinwen Tian 2.7k 1.4× 1.6k 1.3× 1.7k 3.7× 171 0.4× 398 1.1× 257 4.4k
Jie Li 1.9k 1.0× 498 0.4× 733 1.6× 363 0.9× 392 1.1× 177 3.5k
Qingmin Liao 2.9k 1.5× 1.1k 1.0× 250 0.5× 258 0.6× 553 1.5× 282 4.1k
Max Mignotte 1.4k 0.8× 1.1k 0.9× 193 0.4× 338 0.8× 521 1.5× 147 3.1k
Aleksandra Pižurica 2.9k 1.5× 3.0k 2.5× 198 0.4× 529 1.3× 381 1.1× 272 5.2k

Countries citing papers authored by Alin Achim

Since Specialization
Citations

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

Fields of papers citing papers by Alin Achim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alin Achim

This figure shows the co-authorship network connecting the top 25 collaborators of Alin Achim. A scholar is included among the top collaborators of Alin Achim 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 Alin Achim. Alin Achim 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.
Hill, Paul, Nantheera Anantrasirichai, Alin Achim, & David Bull. (2025). Deep learning techniques for atmospheric turbulence removal: a review. Artificial Intelligence Review. 58(4). 1 indexed citations
2.
Bevan, Ryan J., Andrew Want, Nantheera Anantrasirichai, et al.. (2025). SVM-Based Optical Detection of Retinal Ganglion Cell Apoptosis. Photonics. 12(2). 128–128. 1 indexed citations
3.
Karakuş, Oktay, et al.. (2024). Robust Kalman filters based on the sub-Gaussian α-stable distribution. Signal Processing. 224. 109574–109574. 5 indexed citations
4.
Biggs, Juliet, et al.. (2024). Measuring topographic change after volcanic eruptions using multistatic SAR satellites: Simulations in preparation for ESA’s Harmony mission. Remote Sensing of Environment. 317. 114528–114528. 3 indexed citations
5.
Anantrasirichai, Nantheera, et al.. (2024). The quest for early detection of retinal disease: 3D CycleGAN-based translation of optical coherence tomography into confocal microscopy. SHILAP Revista de lepidopterología. 4. e15–e15. 1 indexed citations
6.
Das, Ritu, et al.. (2024). Recent Advances in Transparent Electrodes and Their Multimodal Sensing Applications. Advanced Science. 11(38). e2405099–e2405099. 21 indexed citations
7.
Cross, Stephen, et al.. (2023). Bright-field to fluorescence microscopy image translation for cell nuclei health quantification. SHILAP Revista de lepidopterología. 3. e12–e12. 7 indexed citations
8.
Yang, Tianqi, Nantheera Anantrasirichai, Oktay Karakuş, Marco Allinovi, & Alin Achim. (2023). A Semi-Supervised Learning Approach for B-Line Detection in Lung Ultrasound Images. 1 indexed citations
9.
Achim, Alin, et al.. (2023). Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography. CINECA IRIS Institutial Research Information System (University of Genoa). 2 indexed citations
10.
Achim, Alin, et al.. (2022). SynthWakeSAR: A Synthetic SAR Dataset for Deep Learning Classification of Ships at Sea. Remote Sensing. 14(16). 3999–3999. 18 indexed citations
11.
Anantrasirichai, Nantheera, et al.. (2021). High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation. 2021 CIE International Conference on Radar (Radar). 2525–2528. 1 indexed citations
12.
Anantrasirichai, Nantheera, Juliet Biggs, Tim Wright, et al.. (2020). Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data With a Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 59(4). 2940–2950. 51 indexed citations
13.
Tzagkarakis, George, et al.. (2015). Recurrence quantification analysis of denoised index returns via alpha-stable modeling of wavelet coefficients: detecting switching volatility regimes. Studies in Nonlinear Dynamics and Econometrics. 20(1). 75–96. 9 indexed citations
14.
Porter, R., Vladislav B. Tadić, & Alin Achim. (2014). Blind separation of sources with finite rate of innovation. Explore Bristol Research. 136–140. 3 indexed citations
15.
Anantrasirichai, Nantheera, Lindsay B. Nicholson, James P. Morgan, et al.. (2014). Adaptive-weighted bilateral filtering and other pre-processing techniques for optical coherence tomography. Computerized Medical Imaging and Graphics. 38(6). 526–539. 47 indexed citations
16.
Nicholson, Louise, et al.. (2011). Retinal image registration based on multiscale products and optic disc detection. PubMed. 2011. 6242–5. 5 indexed citations
17.
Achim, Alin, et al.. (2010). 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina. 15 indexed citations
18.
Achim, Alin, et al.. (2010). Temporal registration for low-quality retinal images of the murine eye. PubMed. 6. 6272–6275. 3 indexed citations
19.
Agrawal, Mayank, Panagiotis Tsakalides, & Alin Achim. (2010). Medical image fusion using the convolution of Meridian distributions. PubMed. 2010. 3727–30. 7 indexed citations
20.
Achim, Alin, et al.. (2005). IEEE 13th Workshop on Statistical Signal Processing 2005, Bordeaux, France. 1 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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