Maria Cornacchia

538 total citations · 1 hit paper
17 papers, 390 citations indexed

About

Maria Cornacchia is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Maria Cornacchia has authored 17 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 2 papers in Cognitive Neuroscience. Recurrent topics in Maria Cornacchia's work include Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image Processing Techniques (4 papers). Maria Cornacchia is often cited by papers focused on Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image Processing Techniques (4 papers). Maria Cornacchia collaborates with scholars based in United States. Maria Cornacchia's co-authors include Senem Velipasalar, Yu Zheng, Koray Özcan, Erik Blasch, Mike J. McLaughlin, Mark Alford, Daniel P. Murphy and Michael Reale and has published in prestigious journals such as IEEE Transactions on Image Processing and IEEE Sensors Journal.

In The Last Decade

Maria Cornacchia

16 papers receiving 377 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey on Activity Detection and Classification Using Wearable Sensors

2016 318 citations Maria Cornacchia, Koray Özcan et al. IEEE Sensors Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Cornacchia United States	5	255	116	82	71	47	17	390
Sang Min Yoon South Korea	10	481 1.9×	133 1.1×	64 0.8×	87 1.2×	39 0.8×	50	608
Yong-Joong Kim South Korea	5	291 1.1×	79 0.7×	49 0.6×	104 1.5×	42 0.9×	8	353
Rony Darazi France	9	261 1.0×	197 1.7×	129 1.6×	71 1.0×	67 1.4×	26	473
Yin Tang China	11	514 2.0×	231 2.0×	134 1.6×	187 2.6×	45 1.0×	26	659
Mouazma Batool Pakistan	10	459 1.8×	138 1.2×	60 0.7×	135 1.9×	35 0.7×	18	604
Jie Wan China	9	179 0.7×	100 0.9×	203 2.5×	56 0.8×	121 2.6×	25	430
Maria Mahmood Pakistan	6	511 2.0×	135 1.2×	44 0.5×	191 2.7×	50 1.1×	8	694
Serhan Coşar United Kingdom	10	273 1.1×	56 0.5×	50 0.6×	188 2.6×	27 0.6×	20	500
Zhen-Peng Bian Singapore	7	245 1.0×	137 1.2×	27 0.3×	65 0.9×	44 0.9×	9	352

Countries citing papers authored by Maria Cornacchia

Since Specialization

Citations

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

Fields of papers citing papers by Maria Cornacchia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Cornacchia

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Cornacchia. A scholar is included among the top collaborators of Maria Cornacchia 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 Maria Cornacchia. Maria Cornacchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Reale, Michael, et al.. (2024). Video modification in drone and satellite imagery. 41–41. 1 indexed citations

2.

Reale, Michael, et al.. (2022). Generative Adversarial Networks for Vehicle Transformation in Overhead and Satellite Imagery. 1–13. 1 indexed citations

3.

Reale, Michael, et al.. (2020). Shape and Texture Aware Graph Processing. 1–18.

4.

Cornacchia, Maria & Senem Velipasalar. (2020). Autonomous Selective Parts-Based Tracking. IEEE Transactions on Image Processing. 29. 4349–4361. 1 indexed citations

5.

Cornacchia, Maria, et al.. (2018). DCNN Augmentation via Synthetic Data from Variational Autoencoders and Generative Adversarial Networks. 9 indexed citations

6.

Cornacchia, Maria, et al.. (2018). Fusion based Heterogeneous Convolutional Neural Networks Architecture. 1–6. 2 indexed citations

7.

Cornacchia, Maria, et al.. (2018). Deep Learning-Based Obstacle Detection and Classification With Portable Uncalibrated Patterned Light. IEEE Sensors Journal. 18(20). 8416–8425. 21 indexed citations

8.

Cornacchia, Maria, et al.. (2017). Fusion of Deep Convolutional Neural Networks. 2. 1–6. 4 indexed citations

9.

Cornacchia, Maria & Senem Velipasalar. (2017). Selective parts-based tracking through occlusions. 171–175. 2 indexed citations

10.

Cornacchia, Maria, Koray Özcan, Yu Zheng, & Senem Velipasalar. (2016). A Survey on Activity Detection and Classification Using Wearable Sensors. IEEE Sensors Journal. 17(2). 386–403. 318 indexed citations breakdown →

11.

Blasch, Erik, et al.. (2015). ROC curve analysis for validating objective image fusion metrics. 1–6. 4 indexed citations

12.

McLaughlin, Mike J., et al.. (2015). Using ROC curves and AUC to evaluate performance of no-reference image fusion metrics. 27–34. 10 indexed citations

13.

McLaughlin, Mike J., et al.. (2015). Bandelet denoising in image processing. 5. 35–40. 3 indexed citations

14.

Blasch, Erik, et al.. (2015). Bandelet transformation based image registration. 9. 1–6. 1 indexed citations

15.

McLaughlin, Mike J., et al.. (2014). Modified deconvolution using wavelet image fusion. 46. 1–6. 4 indexed citations

16.

McLaughlin, Mike J., et al.. (2014). Multi-resolution deblurring. 4. 1–6. 4 indexed citations

17.

Cornacchia, Maria, et al.. (2014). No-reference multi-scale blur metric. 15. 103–108. 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.

Explore authors with similar magnitude of impact