José Cano

458 total citations
36 papers, 202 citations indexed

About

José Cano is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, José Cano has authored 36 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in José Cano's work include Advanced Neural Network Applications (11 papers), Parallel Computing and Optimization Techniques (11 papers) and Adversarial Robustness in Machine Learning (7 papers). José Cano is often cited by papers focused on Advanced Neural Network Applications (11 papers), Parallel Computing and Optimization Techniques (11 papers) and Adversarial Robustness in Machine Learning (7 papers). José Cano collaborates with scholars based in United Kingdom, Spain and United States. José Cano's co-authors include Serafı́n Moral, Miguel Delgado, Michael O’Boyle, Elliot J. Crowley, Jack Turner, Valentin Radu, Amos Storkey, Vijay Nagarajan, José Flich and Michael O’Boyle and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and IEEE Transactions on Computers.

In The Last Decade

José Cano

34 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Cano United Kingdom 8 90 70 65 50 38 36 202
Alan Soper United Kingdom 8 54 0.6× 25 0.4× 97 1.5× 69 1.4× 29 0.8× 33 233
Rajendra Kumar India 9 83 0.9× 64 0.9× 98 1.5× 34 0.7× 9 0.2× 34 208
Mohammad Sadegh Talebi Iran 10 64 0.7× 17 0.2× 170 2.6× 78 1.6× 15 0.4× 41 246
Douglas Aberdeen Australia 10 196 2.2× 29 0.4× 48 0.7× 11 0.2× 17 0.4× 17 250
Nathan Pemberton United States 6 78 0.9× 28 0.4× 146 2.2× 135 2.7× 235 6.2× 7 363
Arun Ramamurthy India 10 47 0.5× 15 0.2× 120 1.8× 118 2.4× 10 0.3× 39 227
Nikita Mishra United States 11 86 1.0× 31 0.4× 188 2.9× 68 1.4× 147 3.9× 18 302
Xiuxia Tian China 9 114 1.3× 56 0.8× 60 0.9× 42 0.8× 7 0.2× 34 241
Yang Su China 8 177 2.0× 38 0.5× 102 1.6× 20 0.4× 21 0.6× 42 253
Tuy Tan Nguyen South Korea 11 121 1.3× 57 0.8× 90 1.4× 111 2.2× 8 0.2× 42 284

Countries citing papers authored by José Cano

Since Specialization
Citations

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

Fields of papers citing papers by José Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Cano

This figure shows the co-authorship network connecting the top 25 collaborators of José Cano. A scholar is included among the top collaborators of José Cano 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 José Cano. José Cano 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.
Ferguson, A, et al.. (2025). Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 31–38. 1 indexed citations
2.
Duato, J., et al.. (2025). Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 39–45.
3.
4.
Cano, José, et al.. (2024). DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration. ACM Transactions on Architecture and Code Optimization. 22(1). 1–28. 1 indexed citations
5.
Cano, José, et al.. (2024). A survey on Ethereum pseudonymity: Techniques, challenges, and future directions. Journal of Network and Computer Applications. 232. 104019–104019. 7 indexed citations
6.
Pau, Danilo, et al.. (2024). Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 85–90. 1 indexed citations
7.
Tumeo, Antonino, et al.. (2024). AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 143–157. 1 indexed citations
8.
Cano, José, et al.. (2023). Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1795–1799. 3 indexed citations
9.
Cano, José, et al.. (2022). Euro-Par 2022: Parallel Processing. Lecture notes in computer science. 5 indexed citations
10.
Dong, Shi, Yifan Sun, Jing Zhou, et al.. (2021). Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Transactions on Parallel and Distributed Systems. 32(10). 2448–2463. 6 indexed citations
11.
Cano, José, et al.. (2018). Solving the task variant allocation problem in distributed robotics. Autonomous Robots. 42(7). 1477–1495. 9 indexed citations
12.
Turner, Jack, Elliot J. Crowley, Valentin Radu, et al.. (2018). HAKD: Hardware Aware Knowledge Distillation.. arXiv (Cornell University). 1 indexed citations
13.
Cano, José, et al.. (2018). Accelerating Deep Neural Networks on Low Power Heterogeneous Architectures. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 12 indexed citations
14.
Turner, Jack, José Cano, Valentin Radu, et al.. (2018). Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 101–110. 18 indexed citations
15.
Kumar, Rakesh, et al.. (2017). HW/SW co-designed processors: Challenges, design choices and a simulation infrastructure for evaluation. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 33. 185–194. 1 indexed citations
16.
Cano, José, et al.. (2016). Automatic configuration of ROS applications for near-optimal performance. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2217–2223. 4 indexed citations
17.
Cano, José, Eduardo Molinos, Vijay Nagarajan, & Sethu Vijayakumar. (2015). Dynamic process migration in heterogeneous ROS-based environments. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 70. 518–523. 5 indexed citations
18.
Calafate, Carlos T., et al.. (2013). Seamless MANET Autoconfiguration through Enhanced 802.11 Beaconing. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Cano, José, José Flich, J. Duato, Marcello Coppola, & Riccardo Locatelli. (2011). NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip. 2 indexed citations
20.
Cano, José, Miguel Delgado, & Serafı́n Moral. (1993). An axiomatic framework for propagating uncertainty in directed acyclic networks. International Journal of Approximate Reasoning. 8(4). 253–280. 37 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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