Lorenzo Baraldi

3.1k total citations · 1 hit paper
70 papers, 1.4k citations indexed

About

Lorenzo Baraldi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Lorenzo Baraldi has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 6 papers in Human-Computer Interaction. Recurrent topics in Lorenzo Baraldi's work include Multimodal Machine Learning Applications (34 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Human Pose and Action Recognition (16 papers). Lorenzo Baraldi is often cited by papers focused on Multimodal Machine Learning Applications (34 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Human Pose and Action Recognition (16 papers). Lorenzo Baraldi collaborates with scholars based in Italy, United Kingdom and Israel. Lorenzo Baraldi's co-authors include Rita Cucchiara, Marcella Cornia, Silvia Cascianelli, Giuseppe Serra, Costantino Grana, Federico Landi, Matteo Stefanini, Federico Bolelli, Giuseppe Fiameni and Luca Benini and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Lorenzo Baraldi

69 papers receiving 1.3k citations

Hit Papers

From Show to Tell: A Survey on Deep Learning-Based Image ... 2022 2026 2023 2024 2022 50 100 150
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.

  1. From Show to Tell: A Survey on Deep Learning-Based Image Captioning
    2022 198 citations Matteo Stefanini, Marcella Cornia et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorenzo Baraldi Italy 19 988 443 128 65 62 70 1.4k
Lorenzo Porzi Italy 17 559 0.6× 250 0.6× 86 0.7× 41 0.6× 35 0.6× 32 850
Heechul Jung South Korea 14 976 1.0× 379 0.9× 75 0.6× 43 0.7× 73 1.2× 51 1.4k
Min Sun United States 21 1.6k 1.6× 565 1.3× 208 1.6× 98 1.5× 72 1.2× 86 2.0k
Joseph Lemley Ireland 12 315 0.3× 238 0.5× 92 0.7× 84 1.3× 79 1.3× 43 803
Bo Xiong United States 15 980 1.0× 412 0.9× 65 0.5× 31 0.5× 21 0.3× 23 1.3k
Samira Ebrahimi Kahou Canada 10 1.1k 1.1× 683 1.5× 94 0.7× 24 0.4× 80 1.3× 22 1.6k
Yanli Ji China 21 1.1k 1.2× 580 1.3× 201 1.6× 33 0.5× 30 0.5× 58 1.4k
Songyang Zhang China 17 1.3k 1.3× 744 1.7× 126 1.0× 56 0.9× 20 0.3× 41 1.6k
Nicola Conci Italy 19 730 0.7× 506 1.1× 86 0.7× 17 0.3× 50 0.8× 119 1.3k
Rohit Girdhar United States 13 794 0.8× 388 0.9× 46 0.4× 25 0.4× 26 0.4× 19 1.2k

Countries citing papers authored by Lorenzo Baraldi

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Baraldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Baraldi

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Baraldi. A scholar is included among the top collaborators of Lorenzo Baraldi 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 Lorenzo Baraldi. Lorenzo Baraldi 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.
Baraldi, Lorenzo, et al.. (2025). Multimodal Emotion Recognition in Conversation via Possible Speaker’s Audio and Visual Sequence Selection. Iris Unimore (University of Modena and Reggio Emilia). 1–5. 1 indexed citations
2.
Cornia, Marcella, et al.. (2025). Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering. IRIS UNIMORE (University of Modena and Reggio Emilia). 9199–9209. 1 indexed citations
3.
Baraldi, Lorenzo, et al.. (2024). The Revolution of Multimodal Large Language Models: A Survey. 13590–13618. 17 indexed citations
4.
Cornia, Marcella, et al.. (2024). Multiclass Unlearning for Image Classification via Weight Filtering. IEEE Intelligent Systems. 39(6). 40–47. 4 indexed citations
5.
Cornia, Marcella, et al.. (2024). Towards Retrieval-Augmented Architectures for Image Captioning. ACM Transactions on Multimedia Computing Communications and Applications. 20(8). 1–22. 7 indexed citations
6.
Cucchiara, Rita, et al.. (2024). Video Surveillance and Privacy: A Solvable Paradox?. Computer. 57(3). 91–100. 1 indexed citations
7.
Bigazzi, Roberto, et al.. (2024). Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. IRIS UNIMORE (University of Modena and Reggio Emilia). 7686–7693. 2 indexed citations
8.
Cornia, Marcella, et al.. (2024). Parents and Children: Distinguishing Multimodal Deepfakes from Natural Images. ACM Transactions on Multimedia Computing Communications and Applications. 21(1). 1–23. 9 indexed citations
9.
Cornia, Marcella, et al.. (2024). Are Learnable Prompts the Right Way of Prompting? Adapting Vision-and-Language Models with Memory Optimization. IEEE Intelligent Systems. 39(3). 26–34. 1 indexed citations
10.
Cornia, Marcella, et al.. (2023). Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates. Sensors. 23(3). 1286–1286. 10 indexed citations
11.
Staiano, Jacopo, et al.. (2023). Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation. IRIS UNIMORE (University of Modena and Reggio Emilia). 9306–9312. 2 indexed citations
12.
Cornia, Marcella, et al.. (2023). Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation. IRIS UNIMORE (University of Modena and Reggio Emilia). 6914–6924. 19 indexed citations
13.
Cornia, Marcella, et al.. (2023). With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning. IRIS UNIMORE (University of Modena and Reggio Emilia). 3009–3019. 14 indexed citations
14.
Cornia, Marcella, et al.. (2022). The Unreasonable Effectiveness of CLIP Features for Image Captioning: An Experimental Analysis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4661–4669. 52 indexed citations
15.
Cornia, Marcella, et al.. (2022). Matching Faces and Attributes Between the Artistic and the Real Domain: the PersonArt Approach. ACM Transactions on Multimedia Computing Communications and Applications. 18(3). 1–23. 2 indexed citations
16.
Landi, Federico, Lorenzo Baraldi, Marcella Cornia, & Rita Cucchiara. (2021). Working Memory Connections for LSTM. Neural Networks. 144. 334–341. 163 indexed citations
17.
Baraldi, Lorenzo, et al.. (2021). A computational approach for progressive architecture shrinkage in action recognition. Software Practice and Experience. 52(2). 537–554. 1 indexed citations
18.
Cornia, Marcella, et al.. (2021). Revisiting the evaluation of class activation mapping for explainability: A novel metric and experimental analysis. CINECA IRIS Institutial research information system (University of Pisa). 22 indexed citations
19.
Landi, Federico, Lorenzo Baraldi, Massimiliano Corsini, & Rita Cucchiara. (2019). Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters. IRIS UNIMORE (University of Modena and Reggio Emilia). 18. 3 indexed citations
20.
Stefanini, Matteo, Riccardo Lancellotti, Lorenzo Baraldi, & Simone Calderara. (2019). A Deep-learning-based approach to VM behavior Identification in Cloud Systems. IRIS UNIMORE (University of Modena and Reggio Emilia). 4 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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