Francisco Ramos

636 total citations
29 papers, 368 citations indexed

About

Francisco Ramos is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Francisco Ramos has authored 29 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 9 papers in Health, Toxicology and Mutagenesis and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Francisco Ramos's work include Air Quality Monitoring and Forecasting (10 papers), Air Quality and Health Impacts (9 papers) and Computer Graphics and Visualization Techniques (9 papers). Francisco Ramos is often cited by papers focused on Air Quality Monitoring and Forecasting (10 papers), Air Quality and Health Impacts (9 papers) and Computer Graphics and Visualization Techniques (9 papers). Francisco Ramos collaborates with scholars based in Spain, Mexico and Italy. Francisco Ramos's co-authors include Sergio Trilles, Ditsuhi Iskandaryan, Joaquín Torres-Sospedra, Miguel Chover, Francisco J. Perales, Oscar Ripollés, Andrés Muñoz, Joaquı́n Huerta, Michael Gould and Carlos Granell and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Francisco Ramos

28 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco Ramos Spain 9 171 117 73 55 48 29 368
Miao Hua China 6 171 1.0× 121 1.0× 70 1.0× 63 1.1× 36 0.8× 21 378
Dewen Seng China 9 127 0.7× 92 0.8× 35 0.5× 82 1.5× 23 0.5× 46 446
Mitko Aleksandrov Australia 13 73 0.4× 25 0.2× 60 0.8× 12 0.2× 46 1.0× 32 360
Hongbin Dai China 13 214 1.3× 183 1.6× 101 1.4× 77 1.4× 60 1.3× 19 554
Liangchen Zhou China 10 54 0.3× 14 0.1× 63 0.9× 11 0.2× 29 0.6× 58 375
Fábio Miranda United States 12 52 0.3× 17 0.1× 173 2.4× 22 0.4× 69 1.4× 35 404
Longgang Xiang China 10 99 0.6× 25 0.2× 31 0.4× 22 0.4× 43 0.9× 51 359
Morteza Rahbar Iran 10 116 0.7× 17 0.1× 44 0.6× 12 0.2× 55 1.1× 20 418
Jinjin Yan China 11 44 0.3× 26 0.2× 51 0.7× 13 0.2× 43 0.9× 30 294

Countries citing papers authored by Francisco Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Ramos. A scholar is included among the top collaborators of Francisco Ramos 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 Francisco Ramos. Francisco Ramos 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.
Iskandaryan, Ditsuhi, Francisco Ramos, & Sergio Trilles. (2023). A set of deep learning algorithms for air quality prediction applications. Software Impacts. 17. 100562–100562. 3 indexed citations
2.
Iskandaryan, Ditsuhi, Francisco Ramos, & Sergio Trilles. (2023). Reconstructing secondary data based on air quality, meteorological and traffic data considering spatiotemporal components. Data in Brief. 47. 108957–108957. 3 indexed citations
3.
Iskandaryan, Ditsuhi, Francisco Ramos, & Sergio Trilles. (2023). Graph Neural Network for Air Quality Prediction: A Case Study in Madrid. IEEE Access. 11. 2729–2742. 29 indexed citations
4.
Iskandaryan, Ditsuhi, Francisco Ramos, & Sergio Trilles. (2022). Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid. PLoS ONE. 17(6). e0269295–e0269295. 18 indexed citations
5.
Iskandaryan, Ditsuhi, Francisco Ramos, & Sergio Trilles. (2022). Comparison of Nitrogen Dioxide Predictions During a Pandemic and Non-pandemic Scenario in the City of Madrid using a Convolutional LSTM Network. International Journal of Computational Intelligence and Applications. 21(2). 6 indexed citations
6.
Trilles, Sergio, et al.. (2020). A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards. IEEE Sensors Journal. 21(4). 5512–5528. 6 indexed citations
7.
Iskandaryan, Ditsuhi, Francisco Ramos, & Sergio Trilles. (2020). Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review. Applied Sciences. 10(7). 2401–2401. 109 indexed citations
8.
Ramos, Francisco, Sergio Trilles, Andrés Muñoz, & Joaquı́n Huerta. (2018). Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor Networks. Sensors. 18(8). 2507–2507. 27 indexed citations
9.
Ramos, Francisco, et al.. (2018). AUGMENTED REALITY FOR A BETTER NAVIGATION IN A SMART CAMPUS. EDULEARN proceedings. 1. 7513–7513. 2 indexed citations
10.
Ramos, Francisco, et al.. (2018). New Trends in Using Augmented Reality Apps for Smart City Contexts. ISPRS International Journal of Geo-Information. 7(12). 478–478. 60 indexed citations
11.
Ramos, Francisco, et al.. (2014). View-Dependent Tessellation and Simulation of Ocean Surfaces. The Scientific World JOURNAL. 2014. 1–12. 5 indexed citations
12.
Ramos, Francisco, et al.. (2014). A Location Aware Mobile Tool for Direct and Indirect Climate Data Sensors. Transactions in GIS. 18(3). 385–400.
13.
Ramos, Francisco, Oscar Ripollés, & Miguel Chover. (2012). Efficient visualization of 3D models on hardware-limited portable devices. Multimedia Tools and Applications. 73(2). 961–976. 4 indexed citations
14.
Igual, Francisco D., et al.. (2012). Speeding up the log-polar transform with inexpensive parallel hardware: graphics units and multi-core architectures. Journal of Real-Time Image Processing. 10(3). 533–550. 5 indexed citations
15.
Ripollés, Oscar, Miguel Chover, & Francisco Ramos. (2011). Visualization of level-of-detail meshes on the GPU. The Visual Computer. 27(9). 793–809. 1 indexed citations
16.
Ramos, Francisco, et al.. (2010). 3D visualization of sea. Journal of Visualization. 13(4). 277–278. 1 indexed citations
17.
Pardos, C. Diez, et al.. (2009). User-assisted simplification method for triangle meshes preserving boundaries. Computer-Aided Design. 41(12). 1095–1106. 11 indexed citations
18.
Monasterio, Fernando Ortíz, et al.. (2009). Reconstruction of the Premaxilla. Journal of Craniofacial Surgery. 20(8). 1768–1770. 6 indexed citations
19.
Ripollés, Oscar, et al.. (2008). A tool for the creation and management of level-of-detail models for 3d applications. WSEAS Transactions on Computers archive. 7(7). 1020–1029. 2 indexed citations
20.
Granell, Carlos, Michael Gould, & Francisco Ramos. (2006). Service Composition for SDIs: Integrated Components Creation. 475–479. 9 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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