Federico Álvarez

1.7k total citations
100 papers, 1.1k citations indexed

About

Federico Álvarez is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Federico Álvarez has authored 100 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 17 papers in Computer Networks and Communications and 17 papers in Sociology and Political Science. Recurrent topics in Federico Álvarez's work include Multimedia Communication and Technology (15 papers), Marine and fisheries research (14 papers) and Image and Video Quality Assessment (10 papers). Federico Álvarez is often cited by papers focused on Multimedia Communication and Technology (15 papers), Marine and fisheries research (14 papers) and Image and Video Quality Assessment (10 papers). Federico Álvarez collaborates with scholars based in Spain, Greece and Italy. Federico Álvarez's co-authors include Gustavo Hernández-Peñaloza, Alberto Belmonte-Hernández, Francisco Alemany, Petros Daras, Dimitrios Zarpalas, Nikolaos Zioulis, José Manuel Menéndez, Sara A. Adlerstein, R. Goñi and David Jiménez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Federico Álvarez

93 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Álvarez Spain 19 314 252 198 193 160 100 1.1k
Adam C. Winstanley Ireland 16 223 0.7× 71 0.3× 198 1.0× 72 0.4× 51 0.3× 68 1.1k
Kosmas Dimitropoulos Greece 26 1.3k 4.0× 367 1.5× 247 1.2× 80 0.4× 67 0.4× 102 2.5k
Weipeng Jing China 20 256 0.8× 59 0.2× 75 0.4× 233 1.2× 100 0.6× 121 1.1k
Rehanullah Khan Pakistan 12 211 0.7× 47 0.2× 152 0.8× 125 0.6× 57 0.4× 32 1.1k
Akmalbek Abdusalomov South Korea 25 831 2.6× 150 0.6× 139 0.7× 78 0.4× 37 0.2× 77 1.7k
Jiawei Zhu China 14 207 0.7× 72 0.3× 67 0.3× 58 0.3× 208 1.3× 42 1.4k
Radhika M. Pai India 22 326 1.0× 62 0.2× 121 0.6× 106 0.5× 18 0.1× 97 1.3k
Carole Dulong United States 8 304 1.0× 90 0.4× 48 0.2× 108 0.6× 27 0.2× 16 772
M. M. Manohara Pai India 24 297 0.9× 70 0.3× 564 2.8× 267 1.4× 20 0.1× 131 1.7k
Nasir Ahmad Pakistan 13 246 0.8× 64 0.3× 86 0.4× 72 0.4× 37 0.2× 60 1.1k

Countries citing papers authored by Federico Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Federico Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Álvarez. A scholar is included among the top collaborators of Federico Álvarez 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 Federico Álvarez. Federico Álvarez 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.
Belmonte-Hernández, Alberto, et al.. (2025). Radiomics feature analysis for survival prediction in multiple myeloma: An automated PET/CT approach. Computer Methods and Programs in Biomedicine. 271. 109019–109019.
2.
Jiménez, David, et al.. (2024). Multisite gaming streaming optimization over virtualized 5G environment using Deep Reinforcement Learning techniques. Computer Networks. 244. 110334–110334. 5 indexed citations
3.
Hernández-Peñaloza, Gustavo, et al.. (2024). General context and relevant public datasets available for improving pathways in Paediatric Cancer applying Artificial Intelligence. A review. SHILAP Revista de lepidopterología. 4. 100196–100196. 1 indexed citations
4.
Álvarez, Federico, et al.. (2023). Improving Quality of Life in Chronic Patients: A Pilot Study on the Effectiveness of a Health Recommender System and Its Usability. Applied Sciences. 13(10). 5850–5850. 2 indexed citations
5.
Gutiérrez, Álvaro, Marta Álvarez, Michalis Feidakis, et al.. (2023). Biosignals Monitoring of First Responders for Cognitive Load Estimation in Real-Time Operation. Applied Sciences. 13(13). 7368–7368. 5 indexed citations
6.
Gómez, Luis A. Hernández, et al.. (2023). Use of semi-synthetic data for catheter segmentation improvement. Computerized Medical Imaging and Graphics. 106. 102188–102188. 4 indexed citations
7.
Jiménez, David, et al.. (2022). A Deep Reinforcement Learning Quality Optimization Framework for Multimedia Streaming over 5G Networks. Applied Sciences. 12(20). 10343–10343. 8 indexed citations
8.
Jiménez, David, et al.. (2022). Design, Implementation, and Validation of a Multi-Site Gaming Streaming Service Over a 5G-Enabled Platform. IEEE Transactions on Broadcasting. 68(2). 464–474. 3 indexed citations
9.
Zioulis, Nikolaos, et al.. (2021). Pano3D: A Holistic Benchmark and a Solid Baseline for 360° Depth Estimation. arXiv (Cornell University). 3722–3732. 28 indexed citations
10.
Dimou, Anastasios, et al.. (2020). Implicit and Explicit Regularization for Optical Flow Estimation. Sensors. 20(14). 3855–3855. 1 indexed citations
11.
Álvarez, Federico, David Breitgand, David Griffin, et al.. (2019). An Edge-to-Cloud Virtualized Multimedia Service Platform for 5G Networks. IEEE Transactions on Broadcasting. 65(2). 369–380. 60 indexed citations
12.
Menéndez, José Manuel, et al.. (2019). Automatic Change Detection System over Unmanned Aerial Vehicle Video Sequences Based on Convolutional Neural Networks. Sensors. 19(20). 4484–4484. 9 indexed citations
13.
Griffin, David, Nikolaos Zioulis, Truong Khoa Phan, et al.. (2018). Quality of Experience for 3-D Immersive Media Streaming. IEEE Transactions on Broadcasting. 64(2). 379–391. 24 indexed citations
14.
Gilles, Jérôme, et al.. (2018). Detection of moving objects through turbulent media. Decomposition of Oscillatory vs Non-Oscillatory spatio-temporal vector fields. Image and Vision Computing. 73. 40–55. 7 indexed citations
15.
Stobart, Ben, et al.. (2015). Performance of Baited Underwater Video: Does It Underestimate Abundance at High Population Densities?. PLoS ONE. 10(5). e0127559–e0127559. 37 indexed citations
16.
García-Varela, Lara, et al.. (2008). Lightweight management of scalable and personalised media in mobile IPTV networks. 51. 1 indexed citations
17.
Ćalić, Janko, Petros Daras, Oscar Mayora, et al.. (2008). User Centric Media of the Future Internet. DSpace - NTUA (National Technical University of Athens). 433–438.
18.
Álvarez, Federico, Arturo Azcorra, & Massimo Bergamasco. (2007). Networked Media of the Future. 4 indexed citations
19.
Alemany, Francisco & Federico Álvarez. (1993). Growth differences among sardine (Sardina pilchardus Walb.) populations in western Mediterranean. Scientia Marina. 57(2). 229–234. 17 indexed citations
20.
Álvarez, Federico. (1980). Carta de madrid. Revista de la Universidad de México. 35(10424). 83–84.

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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