Alberto Castro

1.8k total citations
75 papers, 1.3k citations indexed

About

Alberto Castro is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Environmental Engineering. According to data from OpenAlex, Alberto Castro has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Electrical and Electronic Engineering, 22 papers in Computer Networks and Communications and 9 papers in Environmental Engineering. Recurrent topics in Alberto Castro's work include Advanced Optical Network Technologies (46 papers), Optical Network Technologies (39 papers) and Advanced Photonic Communication Systems (33 papers). Alberto Castro is often cited by papers focused on Advanced Optical Network Technologies (46 papers), Optical Network Technologies (39 papers) and Advanced Photonic Communication Systems (33 papers). Alberto Castro collaborates with scholars based in Spain, Uruguay and United States. Alberto Castro's co-authors include Luis Velasco, Marc Ruiz, S. J. Ben Yoo, Roberto Proietti, Xiaoliang Chen, Jaume Comellas, Zuqing Zhu, Juan Pedro Fernández-Palacios, Davide Careglio and Gabriel Junyent and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Alberto Castro

74 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Castro Spain 19 1.0k 412 78 77 68 75 1.3k
S. Rangarajan United States 14 202 0.2× 336 0.8× 31 0.4× 21 0.3× 35 0.5× 55 604
Mohamed Gomaa United States 10 493 0.5× 351 0.9× 9 0.1× 43 0.6× 50 0.7× 11 699
Motoki Amagasaki Japan 10 231 0.2× 75 0.2× 48 0.6× 29 0.4× 79 1.2× 80 413
Peyman Neamatollahi Iran 11 339 0.3× 476 1.2× 62 0.8× 27 0.4× 21 0.3× 20 602
Chia-Hsin Cheng Taiwan 10 148 0.1× 117 0.3× 185 2.4× 60 0.8× 130 1.9× 30 522
Tingting Jiang China 11 187 0.2× 262 0.6× 7 0.1× 95 1.2× 106 1.6× 32 621
M. Pushpalatha India 8 104 0.1× 111 0.3× 20 0.3× 81 1.1× 120 1.8× 35 368
Norihiko Shinomiya Japan 10 232 0.2× 211 0.5× 7 0.1× 15 0.2× 10 0.1× 105 390
Qiannan Zhang China 11 107 0.1× 64 0.2× 58 0.7× 95 1.2× 36 0.5× 32 519
Elizabeth Basha United States 7 97 0.1× 132 0.3× 76 1.0× 26 0.3× 41 0.6× 17 303

Countries citing papers authored by Alberto Castro

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Castro. A scholar is included among the top collaborators of Alberto Castro 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 Alberto Castro. Alberto Castro 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.
2.
Etcheverry, Lorena, et al.. (2024). Enhancing environmental data imputation: A physically-constrained machine learning framework. The Science of The Total Environment. 926. 171773–171773. 10 indexed citations
3.
Castro, Alberto, et al.. (2023). Assessing influential rainfall–runoff variables to simulate daily streamflow using random forest. Hydrological Sciences Journal. 68(12). 1738–1753. 14 indexed citations
4.
Chreties, Christian, et al.. (2023). Simulación del proceso precipitación-escorrentía con paso diario: comparación de los modelos GR4J, SWAT y random forest. SHILAP Revista de lepidopterología. 10(1). 31–47. 2 indexed citations
5.
Herrera, Andrés, et al.. (2023). Deep learning methods for intra-day cloudiness prediction using geostationary satellite images in a solar forecasting framework. Solar Energy. 262. 111820–111820. 12 indexed citations
6.
Wang, Shaoxuan, et al.. (2023). Coordination of Radio Access and Optical Transport. 1–3. 1 indexed citations
7.
Castro, Alberto, et al.. (2022). Improving the sediment and nutrient first-flush prediction and ranking its influencing factors: An integrated machine-learning framework. Journal of Hydrology. 616. 128842–128842. 15 indexed citations
8.
Castro, Alberto, et al.. (2022). Experimentation Environments for Data Center Routing Protocols: A Comprehensive Review. Future Internet. 14(1). 29–29. 6 indexed citations
9.
Etcheverry, Lorena, et al.. (2021). Water-Quality Data Imputation with a High Percentage of Missing Values: A Machine Learning Approach. Sustainability. 13(11). 6318–6318. 45 indexed citations
10.
Gorgoglione, Angela, Alberto Castro, Vito Iacobellis, & Andrea Gioia. (2021). A Comparison of Linear and Non-Linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff. Sustainability. 13(4). 2054–2054. 20 indexed citations
11.
Castro, Alberto, et al.. (2021). Routing in Fat Trees: a protocol analyzer for debugging and experimentation. Integrated Network Management. 788–792. 3 indexed citations
12.
Gorgoglione, Angela, Alberto Castro, Christian Chreties, & Lorena Etcheverry. (2020). Overcoming Data Scarcity in Earth Science. Data. 5(1). 5–5. 12 indexed citations
13.
Chen, Xiaoliang, Zuqing Zhu, Jiannan Guo, et al.. (2018). Leveraging Mixed-Strategy Gaming to Realize Incentive-Driven VNF Service Chain Provisioning in Broker-Based Elastic Optical Inter-Datacenter Networks. Journal of Optical Communications and Networking. 10(2). A232–A232. 25 indexed citations
14.
Proietti, Roberto, Xiaoliang Chen, Kaiqi Zhang, et al.. (2018). Experimental Demonstration of Machine-Learning-Aided QoT Estimation in Multi-Domain Elastic Optical Networks with Alien Wavelengths. Journal of Optical Communications and Networking. 11(1). A1–A1. 57 indexed citations
15.
Castro, Alberto, et al.. (2018). Opportunities for AI/ML in Telecommunications Networks. 89–95. 4 indexed citations
16.
Chen, Xiaoliang, Roberto Proietti, Hongbo Lu, Alberto Castro, & S. J. Ben Yoo. (2018). Knowledge-Based Autonomous Service Provisioning in Multi-Domain Elastic Optical Networks. IEEE Communications Magazine. 56(8). 152–158. 46 indexed citations
17.
Velasco, Luis, Alberto Castro, A. Asensio, et al.. (2017). Meeting the Requirements to Deploy Cloud RAN Over Optical Networks. Journal of Optical Communications and Networking. 9(3). B22–B22. 37 indexed citations
18.
Castro, Alberto, Luis Velasco, Jaume Comellas, & Gabriel Junyent. (2013). Dynamic restoration in multi-layer IP/MPLS-over-flexgrid networks. 155–162. 11 indexed citations
19.
Asensio, A., Mirosław Klinkowski, Marc Ruiz, et al.. (2013). Impact of aggregation level on the performance of dynamic lightpath adaptation under time-varying traffic. 184–189. 10 indexed citations
20.
Castro, Alberto, et al.. (1997). Caracterización del germoplasma de cebada en Uruguay, de acuerdo a variables agronómicas y de calidad de grano. Agrociencia. 1(1). 80–87. 2 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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