Fabio Bellavia

692 total citations
31 papers, 360 citations indexed

About

Fabio Bellavia is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Fabio Bellavia has authored 31 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 17 papers in Aerospace Engineering and 4 papers in Geology. Recurrent topics in Fabio Bellavia's work include Advanced Image and Video Retrieval Techniques (20 papers), Robotics and Sensor-Based Localization (17 papers) and Advanced Vision and Imaging (12 papers). Fabio Bellavia is often cited by papers focused on Advanced Image and Video Retrieval Techniques (20 papers), Robotics and Sensor-Based Localization (17 papers) and Advanced Vision and Imaging (12 papers). Fabio Bellavia collaborates with scholars based in Italy, Netherlands and United Kingdom. Fabio Bellavia's co-authors include Carlo Colombo, Domenico Tegolo, Cesare Valenti, Marco Fanfani, Alessandro Piva, Dmytro Mishkin, Fabio Remondino, Massimo Iuliani, Fabio Menna and Carmen Alina Lupaşcu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Fabio Bellavia

31 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Bellavia Italy 13 273 175 44 39 27 31 360
Tingyu Wang China 6 192 0.7× 135 0.8× 20 0.5× 9 0.2× 15 0.6× 14 245
Martin Lambers Germany 8 299 1.1× 223 1.3× 14 0.3× 104 2.7× 25 0.9× 26 402
V. V. Kniaz Russia 8 163 0.6× 76 0.4× 18 0.4× 64 1.6× 37 1.4× 40 250
Zonghao Guo China 5 213 0.8× 87 0.5× 19 0.4× 10 0.3× 83 3.1× 8 310
Fei-Peng Tian China 8 297 1.1× 133 0.8× 8 0.2× 31 0.8× 90 3.3× 11 346
Bingwei Hui China 11 138 0.5× 203 1.2× 19 0.4× 14 0.4× 77 2.9× 26 318
Indrajit Kurmi Austria 11 138 0.5× 186 1.1× 14 0.3× 6 0.2× 27 1.0× 18 310
Xingrui Yang China 7 233 0.9× 173 1.0× 18 0.4× 18 0.5× 42 1.6× 12 274
Noha Radwan United States 3 323 1.2× 63 0.4× 9 0.2× 34 0.9× 17 0.6× 10 382
Rang Nguyen Singapore 9 389 1.4× 148 0.8× 27 0.6× 23 0.6× 54 2.0× 15 457

Countries citing papers authored by Fabio Bellavia

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Bellavia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Bellavia

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Bellavia. A scholar is included among the top collaborators of Fabio Bellavia 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 Fabio Bellavia. Fabio Bellavia 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.
Bellavia, Fabio. (2024). Image Matching by Bare Homography. IEEE Transactions on Image Processing. 33. 696–708. 5 indexed citations
2.
Bellavia, Fabio, et al.. (2022). IMAGE ORIENTATION WITH A HYBRID PIPELINE ROBUST TO ROTATIONS AND WIDE-BASELINES. SHILAP Revista de lepidopterología. XLVI-2/W1-2022. 73–80. 10 indexed citations
3.
Bellavia, Fabio & Dmytro Mishkin. (2022). HarrisZ+: Harris corner selection for next-gen image matching pipelines. Pattern Recognition Letters. 158. 141–147. 18 indexed citations
4.
Fanfani, Marco, Carlo Colombo, & Fabio Bellavia. (2021). Restoration and Enhancement of Historical Stereo Photos. Journal of Imaging. 7(7). 103–103. 2 indexed citations
5.
Bellavia, Fabio, Marco Fanfani, Carlo Colombo, & Alessandro Piva. (2021). Experiencing with electronic image stabilization and PRNU through scene content image registration. Pattern Recognition Letters. 145. 8–15. 12 indexed citations
6.
Bellavia, Fabio & Carlo Colombo. (2020). Is There Anything New to Say About SIFT Matching?. International Journal of Computer Vision. 128(7). 1847–1866. 29 indexed citations
7.
Bellavia, Fabio & Carlo Colombo. (2020). RootsGLOH2: embedding RootSIFT ‘square rooting’ in sGLOH2. IET Computer Vision. 14(4). 138–143. 2 indexed citations
8.
Fanfani, Marco, Fabio Bellavia, Massimo Iuliani, Alessandro Piva, & Carlo Colombo. (2019). FISH: Face intensity-shape histogram representation for automatic face splicing detection. Journal of Visual Communication and Image Representation. 63. 102586–102586. 8 indexed citations
9.
Bellavia, Fabio & Carlo Colombo. (2019). An Evaluation of Recent Local Image Descriptors for Real-World Applications of Image Matching. Florence Research (University of Florence). 1–6. 1 indexed citations
10.
Bellavia, Fabio & Carlo Colombo. (2018). Dissecting and Reassembling Color Correction Algorithms for Image Stitching. Default journal. 27. 735–748. 1 indexed citations
11.
Bellavia, Fabio & Carlo Colombo. (2017). Dissecting and Reassembling Color Correction Algorithms for Image Stitching. IEEE Transactions on Image Processing. 27(2). 735–748. 32 indexed citations
12.
Bellavia, Fabio & Carlo Colombo. (2017). Rethinking the sGLOH Descriptor. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(4). 931–944. 18 indexed citations
13.
Fanfani, Marco, Fabio Bellavia, & Carlo Colombo. (2016). Accurate keyframe selection and keypoint tracking for robust visual odometry. Machine Vision and Applications. 27(6). 833–844. 20 indexed citations
14.
Bellavia, Fabio & Carlo Colombo. (2015). Estimating the Best Reference Homography for Planar Mosaics From Videos. Nova Science Publishers (Nova Science Publishers, Inc.). 512–519. 3 indexed citations
15.
Bellavia, Fabio, Carmen Alina Lupaşcu, Pietro Messina, et al.. (2014). A non-parametric segmentation methodology for oral videocapillaroscopic images. Computer Methods and Programs in Biomedicine. 114(3). 240–246. 15 indexed citations
16.
Bellavia, Fabio, Domenico Tegolo, & Cesare Valenti. (2011). Improving Harris corner selection strategy. IET Computer Vision. 5(2). 87–96. 50 indexed citations
17.
Tegolo, Domenico & Fabio Bellavia. (2011). noRANSAC for fundamental matrix estimation. Nova Science Publishers (Nova Science Publishers, Inc.). 98.1–98.11. 3 indexed citations
18.
Bellavia, Fabio, Domenico Tegolo, & Emanuele Trucco. (2010). Improving SIFT-based Descriptors Stability to Rotations. Discovery Research Portal (University of Dundee). 3460–3463. 12 indexed citations
19.
Bellavia, Fabio, et al.. (2009). An Evolution of the Non-Parameter Harris Affine Corner Detector: A Distributed Approach. Nova Science Publishers (Nova Science Publishers, Inc.). 2. 18–25. 1 indexed citations
20.
Bellavia, Fabio, et al.. (2006). Underwater archaeological mosaicing. Nova Science Publishers (Nova Science Publishers, Inc.). 1194–1199. 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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