Diego Carrera

563 total citations
30 papers, 309 citations indexed

About

Diego Carrera is a scholar working on Artificial Intelligence, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Diego Carrera has authored 30 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Diego Carrera's work include Anomaly Detection Techniques and Applications (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and ECG Monitoring and Analysis (4 papers). Diego Carrera is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and ECG Monitoring and Analysis (4 papers). Diego Carrera collaborates with scholars based in Italy, United States and Finland. Diego Carrera's co-authors include Giacomo Boracchi, Brendt Wohlberg, Ettore Lanzarone, Pasqualina Fragneto, Beatrice Rossi, Alessandro Foi, Danilo Macciò, Cristiano Cervellera, P.M. Mannucci and L. Mannucci and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Diego Carrera

23 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Carrera Italy	10	141	71	71	46	44	30	309
Ue-Hwan Kim South Korea	11	73 0.5×	35 0.5×	148 2.1×	22 0.5×	18 0.4×	23	302
Zhiyong Zhang China	10	94 0.7×	16 0.2×	181 2.5×	27 0.6×	18 0.4×	60	356
Hailan Kuang China	10	42 0.3×	17 0.2×	123 1.7×	48 1.0×	76 1.7×	70	361
L. Jani Anbarasi India	13	165 1.2×	43 0.6×	208 2.9×	7 0.2×	25 0.6×	87	493
Xiaofeng Zhang China	9	60 0.4×	58 0.8×	132 1.9×	39 0.8×	50 1.1×	27	314
Md. Zıa Ur Rahman India	13	143 1.0×	12 0.2×	54 0.8×	116 2.5×	104 2.4×	56	520
Stefan Duffner France	12	124 0.9×	15 0.2×	309 4.4×	35 0.8×	41 0.9×	44	452
Syed S. Naqvi Pakistan	20	150 1.1×	78 1.1×	604 8.5×	38 0.8×	60 1.4×	53	1.1k
Zunkai Huang China	10	80 0.6×	27 0.4×	161 2.3×	113 2.5×	19 0.4×	29	372
Guoliang Luo China	12	56 0.4×	19 0.3×	159 2.2×	31 0.7×	34 0.8×	49	354

Countries citing papers authored by Diego Carrera

Since Specialization

Citations

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

Fields of papers citing papers by Diego Carrera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Carrera

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

Flores, Francisco X., et al.. (2025). Molecularly imprinted polymer systems for the controlled release of naphthoquinone derivatives with antimicrobial activity. Reactive and Functional Polymers. 215. 106388–106388.

Rossi, Beatrice, et al.. (2024). SemiFDA: Domain Adaptation in Semi-Supervised Federated Learning. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 687–692.

Carrera, Diego, et al.. (2024). Adaptive Extended Kalman Filtering for Battery State of Charge Estimation on STM32. IEEE Embedded Systems Letters. 17(3). 160–163.

Floris, Alberto, et al.. (2024). Composite convolution: A flexible operator for deep learning on 3D point clouds. Pattern Recognition. 153. 110557–110557.

Rossi, Beatrice, et al.. (2023). On-Device Personalization for Human Activity Recognition on STM32. IEEE Embedded Systems Letters. 16(2). 106–109. 2 indexed citations

Carrera, Diego, et al.. (2022). Continuous Tissue Plasminogen Activator Infusion Using a Minimally Invasive Irrigating Catheter for the Treatment of Intraparenchymal Hemorrhage Within the Basal Ganglia: Case Reports. Operative Neurosurgery. 23(6). e387–e391. 7 indexed citations

Barenghi, Alessandro, et al.. (2022). Profiled side channel attacks against the RSA cryptosystem using neural networks. Journal of Information Security and Applications. 66. 103122–103122. 2 indexed citations

Carrera, Diego, et al.. (2021). Deep open-set recognition for silicon wafer production monitoring. Pattern Recognition. 124. 108488–108488. 16 indexed citations

Carrera, Diego, et al.. (2020). Strengthening Sequential Side-Channel Attacks Through Change Detection. IACR Transactions on Cryptographic Hardware and Embedded Systems. 1–21. 1 indexed citations

10.

Carrera, Diego, et al.. (2019). Development of a shape specification based on the waviness parameter of tapered roller bearing. Procedia Manufacturing. 41. 516–522. 2 indexed citations

11.

Boracchi, Giacomo, Diego Carrera, Cristiano Cervellera, & Danilo Macciò. (2018). QuantTree: Histograms for change detection in multivariate data streams. International Conference on Machine Learning. 2. 639–648. 17 indexed citations

12.

Carrera, Diego, Beatrice Rossi, Pasqualina Fragneto, & Giacomo Boracchi. (2017). Domain Adaptation for Online ECG Monitoring. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 775–780. 8 indexed citations

13.

Carrera, Diego, Giacomo Boracchi, Alessandro Foi, & Brendt Wohlberg. (2017). Sparse Overcomplete Denoising: Aggregation Versus Global Optimization. IEEE Signal Processing Letters. 24(10). 1468–1472. 7 indexed citations

14.

Carrera, Diego & Giacomo Boracchi. (2017). Generating High-Dimensional Datastreams for Change Detection. Big Data Research. 11. 11–21. 2 indexed citations

15.

Carrera, Diego, Giacomo Boracchi, Alessandro Foi, & Brendt Wohlberg. (2016). Scale-invariant anomaly detection with multiscale group-sparse models. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3892–3896. 14 indexed citations

16.

Carrera, Diego, et al.. (2016). Defect Detection in SEM Images of Nanofibrous Materials. IEEE Transactions on Industrial Informatics. 13(2). 551–561. 85 indexed citations

17.

Carrera, Diego, Giacomo Boracchi, Alessandro Foi, & Brendt Wohlberg. (2015). Detecting anomalous structures by convolutional sparse models. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–8. 35 indexed citations

18.

Boracchi, Giacomo, Diego Carrera, & Brendt Wohlberg. (2014). Novelty detection in images by sparse representations. 47–54. 21 indexed citations

19.

Carrera, Diego, et al.. (2001). Machine Vision System for Defect Detection in Sheet Metal Forming Processes.. 50(3). 289–294.

20.

Bachelard, H. S., et al.. (1982). Intercellular Matrix Molecules in the Ageing Brain. PubMed. Suppl 5. 67–75. 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.

Explore authors with similar magnitude of impact