Lamberto Ballan

3.4k total citations · 1 hit paper
58 papers, 2.1k citations indexed

About

Lamberto Ballan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lamberto Ballan has authored 58 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Lamberto Ballan's work include Advanced Image and Video Retrieval Techniques (22 papers), Video Analysis and Summarization (19 papers) and Human Pose and Action Recognition (15 papers). Lamberto Ballan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (22 papers), Video Analysis and Summarization (19 papers) and Human Pose and Action Recognition (15 papers). Lamberto Ballan collaborates with scholars based in Italy, China and United States. Lamberto Ballan's co-authors include Alberto Del Bimbo, Giuseppe Serra, Roberto Caldelli, Irene Amerini, Marco Bertini, Tiberio Uricchio, Lorenzo Seidenari, Cees G. M. Snoek, Xirong Li and Pasquale Coscia and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Computing Surveys and Pattern Recognition.

In The Last Decade

Lamberto Ballan

54 papers receiving 2.0k citations

Hit Papers

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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 SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery

2011 743 citations Lamberto Ballan, Alberto Del Bimbo et al. profile →

Peers

Countries citing papers authored by Lamberto Ballan

Since Specialization

Citations

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

Fields of papers citing papers by Lamberto Ballan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lamberto Ballan

This figure shows the co-authorship network connecting the top 25 collaborators of Lamberto Ballan. A scholar is included among the top collaborators of Lamberto Ballan 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 Lamberto Ballan. Lamberto Ballan 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

#	Work	Indexed citations
1	DSP-ST: Dynamic Structural Prior Spatiotemporal Graph Attention Networks for Traffic Speed Prediction 2025 ·IEEE Intelligent Transportation Systems Magazine ·(unknown), (unknown), Shiru Qu, Lamberto Ballan	0
2	KD-Mamba: Selective state space models with knowledge distillation for trajectory prediction 2025 ·Computer Vision and Image Understanding ·(unknown), (unknown), Shiru Qu, Lamberto Ballan	0
3	Multi-modal transformer with language modality distillation for early pedestrian action anticipation 2024 ·Computer Vision and Image Understanding ·(unknown), (unknown), Lamberto Ballan	0
4	FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-Temporal Traffic Data Imputation 2024 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), (unknown), Shiru Qu, Lamberto Ballan	3
5	Distilling Knowledge for Short-to-Long Term Trajectory Prediction 2024 ·Research Padua Archive (University of Padua) ·(unknown), (unknown), (unknown), Lamberto Ballan	2
6	On the problem of recommendation for sensitive users and influential items: Simultaneously maintaining interest and diversity 2023 ·Knowledge-Based Systems ·(unknown), Merylin Monaro, Luca Oneto, Lamberto Ballan, Nicolò Navarin	8
7	Exploiting Proximity-Aware Tasks for Embodied Social Navigation 2023 ·Research Padua Archive (University of Padua) ·(unknown), (unknown), Luciano Serafini, Anne Lynn S. Chang, Lamberto Ballan	4
8	Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ·(unknown), Pasquale Coscia, (unknown), Simone Calderara, Rita Cucchiara, Lamberto Ballan	41
9	Aligning and linking entity mentions in image, text, and knowledge base 2022 ·Data & Knowledge Engineering ·(unknown), Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti	8
10	Mechanisms Underlying Directional Motion Processing and Form-Motion Integration Assessed with Visual Perceptual Learning 2022 ·Vision ·(unknown), Andrea Pavan, (unknown), Lamberto Ballan, (unknown), Massimo Nucci, Gianluca Campana	1
11	Long-term path prediction in urban scenarios using circular distributions 2017 ·Image and Vision Computing ·Pasquale Coscia, Francesco Castaldo, F. Palmieri, Alexandre Alahi, Silvio Savarese, Lamberto Ballan	29
12	Learning without prejudice: Avoiding bias in webly-supervised action recognition 2017 ·Computer Vision and Image Understanding ·Christian Rupprecht, (unknown), Nan Liu, Lamberto Ballan, Federico Tombari	2
13	A data-driven approach for tag refinement and localization in web videos 2015 ·Computer Vision and Image Understanding ·Lamberto Ballan, Marco Bertini, Giuseppe Serra, Alberto Del Bimbo	7
14	Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval 2015 ·UvA-DARE (University of Amsterdam) ·Xirong Li, Tiberio Uricchio, Lamberto Ballan, Marco Bertini, Cees G. M. Snoek, Alberto Del Bimbo	100
15	A Cross-media Model for Automatic Image Annotation 2014 ·CINECA IRIS Institutial research information system (University of Pisa) ·Lamberto Ballan, Tiberio Uricchio, Lorenzo Seidenari, Alberto Del Bimbo	53
16	Context-Dependent Logo Matching and Recognition 2013 ·SPIRE - Sciences Po Institutional REpository ·Hichem Sahbi, Lamberto Ballan, Giuseppe Serra, (unknown)	1
17	Context-Dependent Logo Matching and Recognition 2012 ·IEEE Transactions on Image Processing ·Hichem Sahbi, Lamberto Ballan, Giuseppe Serra, Alberto Del Bimbo	46
18	Combining Generative and Discriminative Models for Classifying Social Images from 101 Object Categories 2012 ·Institutional Research Information System (University of Udine) ·Lamberto Ballan, Marco Bertini, Alberto Del Bimbo, (unknown), (unknown)	4
19	Recognizing human actions by fusing spatio-temporal appearance and motion descriptors 2009 ·Florence Research (University of Florence) ·Lamberto Ballan, Marco Bertini, Alberto Del Bimbo, Lorenzo Seidenari, Giuseppe Serra	25
20	Passive reconstruction of high quality textured 3D models of works of art 2005 ·(unknown), Lamberto Ballan, G.M. Cortelazzo	2

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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