Mathias Ciliberto

821 total citations
24 papers, 618 citations indexed

About

Mathias Ciliberto is a scholar working on Computer Vision and Pattern Recognition, Transportation and Artificial Intelligence. According to data from OpenAlex, Mathias Ciliberto has authored 24 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Transportation and 8 papers in Artificial Intelligence. Recurrent topics in Mathias Ciliberto's work include Human Mobility and Location-Based Analysis (15 papers), Context-Aware Activity Recognition Systems (13 papers) and Anomaly Detection Techniques and Applications (8 papers). Mathias Ciliberto is often cited by papers focused on Human Mobility and Location-Based Analysis (15 papers), Context-Aware Activity Recognition Systems (13 papers) and Anomaly Detection Techniques and Applications (8 papers). Mathias Ciliberto collaborates with scholars based in United Kingdom, North Macedonia and Japan. Mathias Ciliberto's co-authors include Daniel Roggen, Hristijan Gjoreski, Lin Wang, Sami Mekki, Stefan Valentin, Francisco Morales, Kazuya Murao, Paula Lago, Tsuyoshi Okita and Vítor Fortes Rey and has published in prestigious journals such as IEEE Access, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Frontiers in Computer Science.

In The Last Decade

Mathias Ciliberto

21 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Ciliberto United Kingdom 12 449 342 206 150 120 24 618
Sami Mekki France 9 296 0.7× 242 0.7× 144 0.7× 100 0.7× 92 0.8× 19 467
Francisco Morales United Kingdom 6 289 0.6× 135 0.4× 145 0.7× 87 0.6× 48 0.4× 10 377
Rouhollah Rahmatizadeh United States 9 39 0.1× 187 0.5× 47 0.2× 12 0.1× 174 1.4× 15 373
Seiji Yasunobu Japan 9 77 0.2× 51 0.1× 134 0.7× 23 0.2× 50 0.4× 56 442
Baisheng Lai China 9 291 0.6× 21 0.1× 42 0.2× 114 0.8× 33 0.3× 11 363
Jingyan Song China 10 55 0.1× 63 0.2× 35 0.2× 14 0.1× 67 0.6× 42 442
Jianli Xiao China 10 53 0.1× 53 0.2× 85 0.4× 9 0.1× 140 1.2× 22 287
Joshua Candamo United States 6 240 0.5× 17 0.0× 81 0.4× 26 0.2× 11 0.1× 7 313
Michele Zanin Italy 8 224 0.5× 38 0.1× 34 0.2× 6 0.0× 56 0.5× 14 334
Chirabrata Bhaumik India 8 68 0.2× 27 0.1× 24 0.1× 25 0.2× 34 0.3× 29 277

Countries citing papers authored by Mathias Ciliberto

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Ciliberto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Ciliberto

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Ciliberto. A scholar is included among the top collaborators of Mathias Ciliberto 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 Mathias Ciliberto. Mathias Ciliberto 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.
Liu, Yang, et al.. (2025). HearForce: Force Estimation for Manual Toothbrushing with Earables. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(4). 1–22.
2.
Yang, Liu, Josh Carter, Mathias Ciliberto, et al.. (2025). WalkEar: Holistic Gait Monitoring using Earables. Pure (University of Bath). 99–109. 2 indexed citations
3.
Murao, Kazuya, Hristijan Gjoreski, Paula Lago, et al.. (2024). 12th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). FreiDok plus (Universitätsbibliothek Freiburg). 956–959.
4.
Ciliberto, Mathias, et al.. (2024). OpenEarable 1.4: Dual Microphones Earpiece to Capture In-Ear and Outer-Ear Audio Signals. 930–933. 2 indexed citations
5.
Wang, Lin, Mathias Ciliberto, Hristijan Gjoreski, et al.. (2024). Summary of SHL Challenge 2024: Motion Sensor-based Locomotion and Transportation Mode Recognition in Missing Data Scenarios. Queen Mary Research Online (Queen Mary University of London). 555–562. 3 indexed citations
6.
Wang, Lin, Hristijan Gjoreski, Mathias Ciliberto, et al.. (2023). Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors. Queen Mary Research Online (Queen Mary University of London). 575–585. 18 indexed citations
7.
Wang, Lin, Hristijan Gjoreski, Mathias Ciliberto, et al.. (2021). Three-Year Review of the 2018–2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors. Frontiers in Computer Science. 3. 23 indexed citations
8.
Murao, Kazuya, Hristijan Gjoreski, Paula Lago, et al.. (2021). 9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). 281–284. 1 indexed citations
9.
Ciliberto, Mathias, Vítor Fortes Rey, Alberto Calatroni, Paul Lukowicz, & Daniel Roggen. (2021). Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition. Frontiers in Computer Science. 3. 20 indexed citations
10.
Murao, Kazuya, Hristijan Gjoreski, Paula Lago, et al.. (2020). 8th international workshop on human activity sensing corpus and applications (HASCA). 228–231. 1 indexed citations
11.
Wang, Lin, Hristijan Gjoreski, Mathias Ciliberto, et al.. (2020). Summary of the sussex-huawei locomotion-transportation recognition challenge 2020. Queen Mary Research Online (Queen Mary University of London). 351–358. 42 indexed citations
12.
Wang, Lin, Hristijan Gjoreski, Mathias Ciliberto, et al.. (2019). Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset. IEEE Access. 7. 10870–10891. 138 indexed citations
13.
Ciliberto, Mathias, Lin Wang, Philip Birch, et al.. (2019). Human and Machine Recognition of Transportation Modes from Body-Worn Camera Images. Sussex Research Online (University of Sussex). 67–72. 11 indexed citations
14.
Ciliberto, Mathias, et al.. (2019). WLCSSLearn: Learning Algorithm for Template Matching-based Gesture Recognition Systems. 15. 91–96. 3 indexed citations
15.
16.
17.
Wang, Lin, Hristijan Gjoreski, Mathias Ciliberto, et al.. (2018). Benchmarking the SHL Recognition Challenge with Classical and Deep-Learning Pipelines. Queen Mary Research Online (Queen Mary University of London). 1626–1635. 34 indexed citations
18.
Gjoreski, Hristijan, Mathias Ciliberto, Lin Wang, et al.. (2018). The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices. IEEE Access. 6. 42592–42604. 202 indexed citations
19.
Gjoreski, Hristijan, Mathias Ciliberto, Francisco Morales, et al.. (2017). A Versatile Annotated Dataset for Multimodal Locomotion Analytics with Mobile Devices. Sussex Research Online (University of Sussex). 1–2. 23 indexed citations
20.
Ciliberto, Mathias, Daniel Roggen, & Francisco Morales. (2016). Exploring human activity annotation using a privacy preserving 3D model. Sussex Research Online (University of Sussex). 803–812. 5 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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