Marco Cannici

844 total citations · 1 hit paper
15 papers, 376 citations indexed

About

Marco Cannici is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Marco Cannici has authored 15 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Electrical and Electronic Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Marco Cannici's work include Advanced Memory and Neural Computing (6 papers), CCD and CMOS Imaging Sensors (3 papers) and Advanced Neural Network Applications (3 papers). Marco Cannici is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), CCD and CMOS Imaging Sensors (3 papers) and Advanced Neural Network Applications (3 papers). Marco Cannici collaborates with scholars based in Switzerland, Italy and France. Marco Cannici's co-authors include Matteo Matteucci, Chiara Plizzari, Marco Ciccone, Barbara Caputo, Davide Scaramuzza, Mathias Gehrig, Daniel Gehrig, Hang Su, A. Bottino and Ling Gao and has published in prestigious journals such as Computer Vision and Image Understanding, Advances in Space Research and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Marco Cannici

12 papers receiving 362 citations

Hit Papers

align trajectories sort by overperformance

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.

Skeleton-based action recognition via spatial and temporal transformer networks

2021 253 citations Chiara Plizzari, Marco Cannici et al. Computer Vision and Image Understanding profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Cannici Switzerland	7	287	161	127	85	60	15	376
Minlong Lu China	10	240 0.8×	88 0.5×	127 1.0×	48 0.6×	47 0.8×	12	356
Vassilis Pitsikalis Greece	13	211 0.7×	157 1.0×	68 0.5×	144 1.7×	19 0.3×	36	442
Dohyung Kim South Korea	10	286 1.0×	116 0.7×	62 0.5×	33 0.4×	26 0.4×	38	397
Chiara Plizzari Italy	6	290 1.0×	166 1.0×	131 1.0×	87 1.0×	13 0.2×	10	340
Inwoong Lee South Korea	6	323 1.1×	177 1.1×	181 1.4×	92 1.1×	13 0.2×	12	375
Xin Min China	7	183 0.6×	44 0.3×	79 0.6×	113 1.3×	46 0.8×	16	285
Harshala Gammulle Australia	9	254 0.9×	152 0.9×	64 0.5×	49 0.6×	12 0.2×	14	315
Christopher Conly United States	8	231 0.8×	31 0.2×	104 0.8×	87 1.0×	29 0.5×	14	302
Ramprasad Polana United States	7	478 1.7×	140 0.9×	153 1.2×	53 0.6×	20 0.3×	7	537
Zhaoyang Liu China	7	357 1.2×	181 1.1×	127 1.0×	55 0.6×	10 0.2×	22	404

Countries citing papers authored by Marco Cannici

Since Specialization

Citations

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

Fields of papers citing papers by Marco Cannici

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Cannici

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

All Works

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15 of 15 papers shown

Cioffi, Giovanni, et al.. (2025). LiDAR Registration with Visual Foundation Models.

Hassan, Mariam, Isinsu Katircioglu, Lin Zhang, et al.. (2025). GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. 22404–22415.

Cannici, Marco, et al.. (2025). FaVoR: Features via Voxel Rendering for Camera Relocalization. 44–53.

Cannici, Marco & Davide Scaramuzza. (2024). Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. 9286–9296. 4 indexed citations

Cannici, Marco, et al.. (2024). Deep Visual Odometry with Events and Frames. 8966–8973. 3 indexed citations

Paredes-Vallés, Federico, et al.. (2024). Low-power event-based face detection with asynchronous neuromorphic hardware. 1–10. 1 indexed citations

Gehrig, Mathias, et al.. (2024). Revisiting Token Pruning for Object Detection and Instance Segmentation. 2646–2656. 13 indexed citations

Gao, Ling, Hang Su, Daniel Gehrig, et al.. (2023). A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. Zurich Open Repository and Archive (University of Zurich). 8015–8025. 8 indexed citations

Plizzari, Chiara, et al.. (2022). E²(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19903–19915. 35 indexed citations

10.

Cannici, Marco, et al.. (2022). Deep learning for asteroids autonomous terrain relative navigation. Advances in Space Research. 71(9). 3748–3760. 4 indexed citations

11.

Plizzari, Chiara, Marco Cannici, & Matteo Matteucci. (2021). Skeleton-based action recognition via spatial and temporal transformer networks. Computer Vision and Image Understanding. 208-209. 103219–103219. 253 indexed citations breakdown →

12.

Cannici, Marco, Chiara Plizzari, Marco Ciccone, et al.. (2021). N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1342–1347. 7 indexed citations

13.

Cannici, Marco, et al.. (2020). Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data.. arXiv (Cornell University). 4 indexed citations

14.

Cannici, Marco, et al.. (2019). Attention Mechanisms for Object Recognition With Event-Based Cameras. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1127–1136. 29 indexed citations

15.

Cannici, Marco, et al.. (2018). Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras.. 15 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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