Lia Morra

1.6k total citations · 1 hit paper
49 papers, 749 citations indexed

About

Lia Morra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lia Morra has authored 49 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lia Morra's work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (10 papers) and MRI in cancer diagnosis (5 papers). Lia Morra is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (10 papers) and MRI in cancer diagnosis (5 papers). Lia Morra collaborates with scholars based in Italy, United States and Austria. Lia Morra's co-authors include Fabrizio Lamberti, Silvia Delsanto, Alberto Bert, Alberto Cannavò, Daniele Regge, Luca Alessandro Carbonaro, Katja Pinker, Claudio Giovanni Demartini, Uwe Meyer‐Baese and Anke Meyer‐Baese and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Radiology.

In The Last Decade

Lia Morra

46 papers receiving 720 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.

Data augmentation for medical imaging: A systematic literature review

2022 195 citations Fabrizio Lamberti, Lia Morra et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lia Morra Italy	15	307	282	159	99	77	49	749
Zhennan Yan United States	13	281 0.9×	228 0.8×	205 1.3×	45 0.5×	22 0.3×	37	616
Yuqi Fang China	14	224 0.7×	218 0.8×	151 0.9×	30 0.3×	72 0.9×	44	712
Adrián Colomer Spain	16	440 1.4×	323 1.1×	293 1.8×	65 0.7×	114 1.5×	56	796
Matthew Field Australia	14	310 1.0×	192 0.7×	95 0.6×	141 1.4×	37 0.5×	43	756
Muhammad Owais Pakistan	20	485 1.6×	318 1.1×	428 2.7×	64 0.6×	75 1.0×	94	1.2k
Anum Masood Pakistan	14	342 1.1×	317 1.1×	118 0.7×	182 1.8×	87 1.1×	54	752
Veronika Cheplygina Netherlands	14	381 1.2×	593 2.1×	464 2.9×	123 1.2×	85 1.1×	24	1.3k
Ziming Wang China	9	180 0.6×	332 1.2×	184 1.2×	44 0.4×	47 0.6×	33	622
Minglei Li China	13	282 0.9×	191 0.7×	246 1.5×	58 0.6×	41 0.5×	58	907
Håvard D. Johansen Norway	13	311 1.0×	408 1.4×	424 2.7×	65 0.7×	269 3.5×	54	1.1k

Countries citing papers authored by Lia Morra

Since Specialization

Citations

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

Fields of papers citing papers by Lia Morra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lia Morra

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

All Works

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20 of 20 papers shown

1.

Lamberti, Fabrizio, et al.. (2025). Boosting zero-shot learning through neuro-symbolic integration. Pattern Recognition. 170. 111869–111869.

2.

Morra, Lia, et al.. (2024). Drift Detection for Black-Box Deep Learning Models. IT Professional. 26(2). 24–31. 1 indexed citations

3.

Liang, Yunji, Lia Morra, Bin Guo, et al.. (2024). $\gamma$-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training. IEEE Transactions on Computational Social Systems. 12(3). 957–971. 1 indexed citations

4.

Morra, Lia, et al.. (2024). For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives. Computer Vision and Image Understanding. 249. 104187–104187. 1 indexed citations

5.

Marco, Vincenzo De, et al.. (2024). On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. 110–115.

6.

Lamberti, Fabrizio, et al.. (2024). Analyzing the Performance of Deep Learning-based Techniques for Human Pose Estimation. 193–198.

7.

Morra, Lia, et al.. (2023). Using Temporal Convolutional Networks to estimate ball possession in soccer games. Expert Systems with Applications. 223. 119780–119780. 2 indexed citations

8.

Lamberti, Fabrizio, et al.. (2022). Data augmentation for medical imaging: A systematic literature review. Computers in Biology and Medicine. 152. 106391–106391. 195 indexed citations breakdown →

9.

Morra, Lia, et al.. (2021). On the Use of Causal Models to Build Better Datasets. 4. 1514–1519. 2 indexed citations

10.

Pepa, Lucia, et al.. (2020). Stress Detection in Computer Users From Keyboard and Mouse Dynamics. IEEE Transactions on Consumer Electronics. 67(1). 12–19. 23 indexed citations

11.

Meyer‐Baese, Anke, Lia Morra, Amirhessam Tahmassebi, et al.. (2020). AI‐Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application Primer. Journal of Magnetic Resonance Imaging. 54(3). 686–702. 30 indexed citations

12.

Sali, Lapo, Silvia Delsanto, Loredana Correale, et al.. (2018). Computer-based self-training for CT colonography with and without CAD. European Radiology. 28(11). 4783–4791. 11 indexed citations

13.

Senore, Carlo, Loredana Correale, Daniele Regge, et al.. (2017). Flexible Sigmoidoscopy and CT Colonography Screening: Patients’ Experience with and Factors for Undergoing Screening—Insight from the Proteus Colon Trial. Radiology. 286(3). 873–883. 12 indexed citations

14.

Cerquitelli, Tania, Elena Baralis, Lia Morra, & Silvia Chiusano. (2016). Data mining for better healthcare: A path towards automated data analysis?. 60–63. 8 indexed citations

15.

Morra, Lia, Manuela Durando, Luca Alessandro Carbonaro, et al.. (2015). Breast Cancer: Computer-aided Detection with Digital Breast Tomosynthesis. Radiology. 277(1). 56–63. 40 indexed citations

16.

Vignati, A., Valentina Giannini, M. De Luca, et al.. (2011). Performance of a fully automatic lesion detection system for breast DCE‐MRI. Journal of Magnetic Resonance Imaging. 34(6). 1341–1351. 45 indexed citations

17.

Giannini, Valentina, A. Vignati, Lia Morra, et al.. (2010). A fully automatic algorithm for segmentation of the breasts in DCE-MR images. PubMed. 2010. 3146–3149. 33 indexed citations

18.

Campanella, Delia, Lia Morra, Silvia Delsanto, et al.. (2009). Comparison of three different iodine-based bowel regimens for CT colonography. European Radiology. 20(2). 348–358. 28 indexed citations

19.

Griffa, Michele, et al.. (2005). Bridging the Gap between Mesoscopic and Macroscopic Models: The Case of Multicellular Tumor Spheroids. Physical Review Letters. 94(14). 148105–148105. 20 indexed citations

20.

Delsanto, Silvia, Lia Morra, Michele Griffa, & Claudio Giovanni Demartini. (2005). A genetic algorithms' approach to the exploration of parameter space in mesoscopic multicellular tumour spheroid models. PubMed. 3. 675–678. 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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