Jorge Garcı́a-Vidal

1.1k total citations
52 papers, 649 citations indexed

About

Jorge Garcı́a-Vidal is a scholar working on Computer Networks and Communications, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jorge Garcı́a-Vidal has authored 52 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 19 papers in Environmental Engineering and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Jorge Garcı́a-Vidal's work include Air Quality Monitoring and Forecasting (18 papers), Air Quality and Health Impacts (11 papers) and Mobile Ad Hoc Networks (10 papers). Jorge Garcı́a-Vidal is often cited by papers focused on Air Quality Monitoring and Forecasting (18 papers), Air Quality and Health Impacts (11 papers) and Mobile Ad Hoc Networks (10 papers). Jorge Garcı́a-Vidal collaborates with scholars based in Spain, Algeria and France. Jorge Garcı́a-Vidal's co-authors include José M. Barceló-Ordinas, Mar Viana, Anna Ripoll, Julián David Morillo Pozo, Messaoud Doudou, Nadjib Badache, Oscar Trullols‐Cruces, Kun Mean Hou, Xavier Querol and Olga Muñoz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Sensors.

In The Last Decade

Jorge Garcı́a-Vidal

49 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Garcı́a-Vidal Spain 15 278 246 175 168 85 52 649
Steven J. Johnston United Kingdom 9 251 0.9× 205 0.8× 105 0.6× 201 1.2× 49 0.6× 28 616
David Hasenfratz Switzerland 11 510 1.8× 150 0.6× 155 0.9× 367 2.2× 50 0.6× 17 797
Guoyan Huang China 11 212 0.8× 82 0.3× 45 0.3× 178 1.1× 71 0.8× 49 499
Hanwen Zhang China 13 154 0.6× 99 0.4× 84 0.5× 114 0.7× 46 0.5× 51 458
Walid Bechkit France 8 109 0.4× 261 1.1× 126 0.7× 49 0.3× 43 0.5× 22 408
Yi-Ting Tsai Taiwan 9 336 1.2× 48 0.2× 179 1.0× 260 1.5× 52 0.6× 19 645
Stefan Schneider Germany 17 99 0.4× 283 1.2× 142 0.8× 76 0.5× 35 0.4× 48 708
Kang Wang China 12 95 0.3× 50 0.2× 153 0.9× 44 0.3× 99 1.2× 93 597
Kevin Weekly United States 9 90 0.3× 314 1.3× 221 1.3× 26 0.2× 55 0.6× 15 600

Countries citing papers authored by Jorge Garcı́a-Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Garcı́a-Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Garcı́a-Vidal. 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 Jorge Garcı́a-Vidal. The network helps show where Jorge Garcı́a-Vidal may publish in the future.

Co-authorship network of co-authors of Jorge Garcı́a-Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Garcı́a-Vidal. A scholar is included among the top collaborators of Jorge Garcı́a-Vidal 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 Jorge Garcı́a-Vidal. Jorge Garcı́a-Vidal 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.
Barceló-Ordinas, José M., et al.. (2024). Leveraging Spatiotemporal Correlations With Recurrent Autoencoders for Sensor Anomaly Detection. IEEE Internet of Things Journal. 11(19). 31144–31152. 3 indexed citations
2.
Zapata, Manel Guerrero, et al.. (2024). A Data-Driven Framework for Air Quality Sensor Networks. IEEE Internet of Things Magazine. 7(1). 128–134. 5 indexed citations
3.
Gupta, Pratima, José M. Barceló-Ordinas, Jorge Garcı́a-Vidal, et al.. (2024). Estimating black carbon levels using machine learning models in high-concentration regions. The Science of The Total Environment. 948. 174804–174804. 2 indexed citations
4.
Barceló-Ordinas, José M., et al.. (2024). Virtual sensor-based proxy for black carbon estimation in IoT platforms. Internet of Things. 27. 101284–101284. 2 indexed citations
5.
Barceló-Ordinas, José M., et al.. (2024). Convex Relaxation Method for Sensor Placement in Multiclass Monitoring Networks. IEEE Transactions on Instrumentation and Measurement. 73. 1–13.
6.
Barceló-Ordinas, José M., et al.. (2024). Pattern-Based Attention Recurrent Autoencoder for Anomaly Detection in Air Quality Sensor Networks. IEEE Transactions on Network Science and Engineering. 11(6). 6372–6381. 2 indexed citations
7.
Barceló-Ordinas, José M., et al.. (2023). Robust Proxy Sensor Model for Estimating Black Carbon Concentrations Using Low-Cost Sensors. QRU Quaderns de Recerca en Urbanisme. 1–6. 1 indexed citations
8.
Barceló-Ordinas, José M., et al.. (2022). Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms. IEEE Internet of Things Journal. 9(24). 25350–25362. 7 indexed citations
9.
Vionnet, Carlos A., et al.. (2022). A Low-Power IoT Device for Measuring Water Table Levels and Soil Moisture to Ease Increased Crop Yields. Sensors. 22(18). 6840–6840. 11 indexed citations
10.
Barceló-Ordinas, José M., et al.. (2022). Raw data collected from NO 2 , O 3 and NO air pollution electrochemical low-cost sensors. Data in Brief. 45. 108586–108586. 2 indexed citations
11.
Barceló-Ordinas, José M., et al.. (2021). H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network. SHILAP Revista de lepidopterología. 36. 107127–107127. 16 indexed citations
12.
Barceló-Ordinas, José M., Messaoud Doudou, Jorge Garcı́a-Vidal, & Nadjib Badache. (2019). Self-calibration methods for uncontrolled environments in sensor networks: A reference survey. Ad Hoc Networks. 88. 142–159. 73 indexed citations
13.
Ripoll, Anna, Mar Viana, Xavier Querol, et al.. (2018). Testing the performance of sensors for ozone pollution monitoring in a citizen science approach. The Science of The Total Environment. 651(Pt 1). 1166–1179. 63 indexed citations
14.
Barceló-Ordinas, José M., et al.. (2018). Calibrating low-cost air quality sensors using multiple arrays of sensors. QRU Quaderns de Recerca en Urbanisme. 1–6. 31 indexed citations
15.
Doudou, Messaoud, José M. Barceló-Ordinas, Djamel Djenouri, Nadjib Badache, & Jorge Garcı́a-Vidal. (2016). Performance optimization of duty‐cycled MAC in delay‐energy constrained sensor network under uniform and nonuniform traffic generation. International Journal of Communication Systems. 30(9). 3 indexed citations
16.
Agustín, Adrián, Jorge Garcı́a-Vidal, & Olga Muñoz. (2009). Adaptive Bitrate and Resource Allocation for Relay-Assisted ARQ Transmissions. QRU Quaderns de Recerca en Urbanisme. 1–5.
17.
Garcı́a-Vidal, Jorge, et al.. (2008). Cooperative forwarding in IEEE 802.11-based MANETs. 1–5. 7 indexed citations
18.
Filho, Raimir Holanda, Jorge Garcı́a-Vidal, & Virgı́lio Almeida. (2004). Flow Clustering: A New Approach to Semantic Traffic Characterization.. 315–324. 1 indexed citations
19.
Wiesel, Ami, Luis G. Uzeda Garcia, Jorge Garcı́a-Vidal, Albert Pagès, & J.R. Fonollosa. (2003). Turbo Linear Dispersion Space Time Coding for MIMO HSDPA Systems. 3 indexed citations
20.
Garcı́a-Vidal, Jorge, et al.. (2003). A performance model of a PC based IP software router. 2. 1230–1235. 6 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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