Matteo Terzi

544 total citations
17 papers, 292 citations indexed

About

Matteo Terzi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Matteo Terzi has authored 17 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Matteo Terzi's work include Anomaly Detection Techniques and Applications (9 papers), Context-Aware Activity Recognition Systems (4 papers) and Adversarial Robustness in Machine Learning (4 papers). Matteo Terzi is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Context-Aware Activity Recognition Systems (4 papers) and Adversarial Robustness in Machine Learning (4 papers). Matteo Terzi collaborates with scholars based in Italy, Switzerland and United States. Matteo Terzi's co-authors include Gian Antonio Susto, Alessandro Beghi, Chiara Masiero, Simone Del Favero, Claudio Cobelli, Angelo Cenedese, Pratik Chaudhari, Andrea Schirru, Simone Pampuri and Ruggero Carli and has published in prestigious journals such as Information Sciences, Neurocomputing and IEEE Transactions on Control Systems Technology.

In The Last Decade

Matteo Terzi

16 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matteo Terzi Italy	7	134	78	68	40	32	17	292
Sung-Shick Kim South Korea	7	116 0.9×	111 1.4×	129 1.9×	30 0.8×	32 1.0×	33	350
Nital S. Patel United States	11	74 0.6×	135 1.7×	132 1.9×	27 0.7×	44 1.4×	35	328
Gavneet Singh Chadha Germany	9	106 0.8×	28 0.4×	153 2.3×	22 0.6×	25 0.8×	12	305
Ahmed R. Nasser Iraq	11	63 0.5×	22 0.3×	86 1.3×	50 1.3×	76 2.4×	31	353
Runyuan Guo China	8	122 0.9×	92 1.2×	152 2.2×	24 0.6×	36 1.1×	17	357
Ke Zhao China	10	73 0.5×	16 0.2×	114 1.7×	25 0.6×	66 2.1×	40	354
Morteza Alinia Ahandani Iran	11	227 1.7×	46 0.6×	43 0.6×	19 0.5×	59 1.8×	25	367
Farid MiarNaeimi Iran	6	204 1.5×	29 0.4×	35 0.5×	32 0.8×	47 1.5×	6	368
Eliahu Khalastchi Israel	8	174 1.3×	15 0.2×	179 2.6×	61 1.5×	16 0.5×	9	301
Muhammad Ilyas Menhas China	12	120 0.9×	37 0.5×	98 1.4×	48 1.2×	125 3.9×	30	391

Countries citing papers authored by Matteo Terzi

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Terzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Terzi

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

All Works

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17 of 17 papers shown

Terzi, Matteo, et al.. (2024). On the limitations of adversarial training for robust image classification with convolutional neural networks. Information Sciences. 675. 120703–120703. 3 indexed citations

Terzi, Matteo, et al.. (2024). Improving robustness with image filtering. Neurocomputing. 596. 127927–127927.

Terzi, Matteo, et al.. (2022). Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. Engineering Applications of Artificial Intelligence. 119. 105730–105730. 64 indexed citations

Terzi, Matteo, Gian Antonio Susto, & Pratik Chaudhari. (2020). Directional adversarial training for cost sensitive deep learning classification applications. Research Padua Archive (University of Padua). 12 indexed citations

Terzi, Matteo, et al.. (2020). β-Variational Classifiers Under Attack. IFAC-PapersOnLine. 53(2). 7903–7908. 1 indexed citations

Terzi, Matteo, et al.. (2019). Robot kinematic structure classification from time series of visual data. Padua Research Archive (University of Padova). 1 indexed citations

Cenedese, Angelo, et al.. (2019). A Random Forest-based Approach for Hand Gesture Recognition with Wireless Wearable Motion Capture Sensors. IFAC-PapersOnLine. 52(11). 128–133. 18 indexed citations

Terzi, Matteo, et al.. (2018). A Computer Vision-Inspired Deep Learning Architecture for Virtual Metrology Modeling With 2-Dimensional Data. IEEE Transactions on Semiconductor Manufacturing. 31(3). 376–384. 47 indexed citations

Terzi, Matteo, et al.. (2018). Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Transactions on Control Systems Technology. 28(1). 33–47. 52 indexed citations

10.

Susto, Gian Antonio, Matteo Terzi, Chiara Masiero, Simone Pampuri, & Andrea Schirru. (2018). A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. Research Padua Archive (University of Padua). 9–14. 5 indexed citations

11.

Terzi, Matteo, et al.. (2018). Fault Detection in Artificial Pancreas: A Model-Free approach. Padua Research Archive (University of Padova). 303–308. 4 indexed citations

12.

Terzi, Matteo, et al.. (2017). Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. Research Padua Archive (University of Padua). 1–6. 14 indexed citations

13.

Terzi, Matteo, Angelo Cenedese, & Gian Antonio Susto. (2017). A multivariate symbolic approach to activity recognition for wearable applications. IFAC-PapersOnLine. 50(1). 15865–15870. 5 indexed citations

14.

Susto, Gian Antonio, Matteo Terzi, & Alessandro Beghi. (2017). Anomaly Detection Approaches for Semiconductor Manufacturing. Procedia Manufacturing. 11. 2018–2024. 60 indexed citations

15.

Cenedese, Angelo, Gian Antonio Susto, & Matteo Terzi. (2016). A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing. Research Padua Archive (University of Padua). 2541–2546. 4 indexed citations

16.

Cenedese, Angelo, et al.. (2016). Human Activity Recognition with Wearable Devices: A Symbolic Approach.. Research Padua Archive (University of Padua). 14. 33–65. 1 indexed citations

17.

Terzi, Matteo. (2015). Compensation system for high range mean sea level variations designed for wave power plants. Mechanical design and hydrodynamic modelling. 1 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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