Marco Cristani

9.1k total citations · 3 hit papers
173 papers, 5.1k citations indexed

About

Marco Cristani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Marco Cristani has authored 173 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Computer Vision and Pattern Recognition, 52 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Marco Cristani's work include Video Surveillance and Tracking Methods (51 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Image Retrieval and Classification Techniques (26 papers). Marco Cristani is often cited by papers focused on Video Surveillance and Tracking Methods (51 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Image Retrieval and Classification Techniques (26 papers). Marco Cristani collaborates with scholars based in Italy, United States and United Kingdom. Marco Cristani's co-authors include Vittorio Murino, Loris Bazzani, Alessandro Perina, Michela Farenzena, Giorgio Roffo, Dong Cheng, Simone Melzi, Umberto Castellani, Alessandro Vinciarelli and Alessio Del Bue and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Marco Cristani

158 papers receiving 4.9k 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.

Person re-identification by symmetry-driven accumulation of local features

2010 1.0k citations Alessandro Perina, Vittorio Murino et al. profile →
Custom Pictorial Structures for Re-identification

2011 423 citations Marco Cristani, Vittorio Murino et al. profile →
A Machine Learning-Oriented Survey on Tiny Machine Learning

2024 53 citations Franco Fummi, Marco Cristani et al. profile →

Peers

Marco Cristani

CVPR

AI

BE

SP

OE

Xiaopeng Hong China

Jinjun Wang China

George Bebis United States

Gian Luca Foresti Italy

Massimo Piccardi Australia

Greg Mori Canada

Yizhou Wang China

Junping Zhang China

Elisa Ricci Italy

Clinton Fookes Australia

Xiaopeng Hong China

Marco Cristani

3.3k ×0.9

CVPR

1.7k ×1.5

AI

630 ×0.6

BE

494 ×1.1

SP

128 ×0.5

OE

Citations per year, relative to Marco Cristani Marco Cristani (= 1×) peers Xiaopeng Hong

Countries citing papers authored by Marco Cristani

Since Specialization

Citations

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

Fields of papers citing papers by Marco Cristani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Cristani

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Cristani. A scholar is included among the top collaborators of Marco Cristani 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 Marco Cristani. Marco Cristani 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:

20 of 20 papers shown

1.

Aqeel, Muhammad, et al.. (2025). Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control. 173–183.

2.

Zhu, Tao, et al.. (2025). Controllers for Edge-Cloud Cyber-Physical Systems. 198–206.

3.

Wang, Yiming, Alberto Castellini, Alessio Del Bue, et al.. (2024). Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11047–11058.

4.

Cristani, Marco, et al.. (2024). Well googled is half done: Multimodal forecasting of new fashion product sales with image‐based google trends. Journal of Forecasting. 43(6). 1982–1997. 12 indexed citations

5.

Chakraborty, Samarjit, et al.. (2024). MTL-Split: Multi-Task Learning for Edge Devices using Split Computing. 1–6. 4 indexed citations

6.

Rosa, Stefano, Alberto Castellini, Lorenzo Natale, et al.. (2024). I2EDL: Interactive Instruction Error Detection and Localization. 1872–1877. 2 indexed citations

7.

Setti, Francesco, et al.. (2024). Enhancing Split Computing and Early Exit Applications through Predefined Sparsity. 1–8. 2 indexed citations

8.

Hasan, Irtiza, et al.. (2021). An integrated light management system with real-time light measurement and human perception. IRIS Research product catalog (Sapienza University of Rome). 4 indexed citations

9.

Castellini, Alberto, Alessio Del Bue, Alessandro Farinelli, et al.. (2021). POMP++: Pomcp-based Active Visual Search in unknown indoor environments. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1523–1530. 7 indexed citations

10.

Roffo, Giorgio, Simone Melzi, Umberto Castellani, Alessandro Vinciarelli, & Marco Cristani. (2020). Infinite Feature Selection: A Graph-based Feature Filtering Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(12). 4396–4410. 136 indexed citations

11.

Hasan, Irtiza, et al.. (2018). MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses. IRIS Research product catalog (Sapienza University of Rome). 81 indexed citations

12.

Melzi, Simone, Maks Ovsjanikov, Giorgio Roffo, Marco Cristani, & Umberto Castellani. (2018). Discrete Time Evolution Process Descriptor for Shape Analysis and Matching. ACM Transactions on Graphics. 37(1). 1–18. 14 indexed citations

13.

Rota, Paolo, Francesco Setti, Chiara Bassetti, et al.. (2015). The S-HOCK dataset: Analyzing crowds at the stadium. Institutional Research Information System (Università degli Studi di Trento). 2039–2047. 30 indexed citations

14.

Ulaş, Aydın, et al.. (2014). A Multiple Kernel Learning Approach to Multi-Modal Pedestrian Classification. 2 indexed citations

15.

Cristani, Marco, et al.. (2012). Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection. International Conference on Information Fusion. 2223–2229. 2 indexed citations

16.

Cristani, Marco, et al.. (2011). Look at who's talking. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).

17.

Perina, Alessandro, Marco Cristani, Umberto Castellani, Vittorio Murino, & Nebojša Jojić. (2009). Free energy score space. Neural Information Processing Systems. 22. 1428–1436. 14 indexed citations

18.

Perina, Alessandro, Marco Cristani, Vittorio Murino, & Nebojša Jojić. (2008). Capturing video structure with mixture of probabilistic index maps. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

19.

Bicego, Manuele, Marco Cristani, & Vittorio Murino. (2007). Sparseness Achievement in Hidden Markov Models. 67–72. 8 indexed citations

20.

Perina, Alessandro, Marco Cristani, & Vittorio Murino. (2007). Natural scenes categorization by hierarchical extraction of typicality patterns. 801–806.

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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