David Mera

444 total citations
17 papers, 323 citations indexed

About

David Mera is a scholar working on Pollution, Oceanography and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Mera has authored 17 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pollution, 4 papers in Oceanography and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Mera's work include Oil Spill Detection and Mitigation (4 papers), Marine and coastal ecosystems (4 papers) and Video Analysis and Summarization (3 papers). David Mera is often cited by papers focused on Oil Spill Detection and Mitigation (4 papers), Marine and coastal ecosystems (4 papers) and Video Analysis and Summarization (3 papers). David Mera collaborates with scholars based in Spain, Czechia and Sweden. David Mera's co-authors include José M. Cotos, Manuel Fernández-Delgado, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos, Carl Magnus Olsson, Fahed Alkhabbas, Paul Davidsson, Oscar Garcia‐Pineda, Andrés Gómez and Andrés Caro and has published in prestigious journals such as Marine Pollution Bulletin, Computers & Geosciences and Future Generation Computer Systems.

In The Last Decade

David Mera

16 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Mera Spain 9 128 91 80 61 45 17 323
Ziyi Jiang China 8 49 0.4× 33 0.4× 225 2.8× 16 0.3× 38 0.8× 17 472
Khamaruzaman B. Wan Yusof Malaysia 6 114 0.9× 74 0.8× 22 0.3× 6 0.1× 84 1.9× 9 317
Can Elmar Balas Türkiye 12 47 0.4× 80 0.9× 30 0.4× 13 0.2× 104 2.3× 38 403
Yunpeng Ma China 10 17 0.1× 60 0.7× 161 2.0× 106 1.7× 63 1.4× 14 340
Sudhir Kumar Chaturvedi India 9 82 0.6× 91 1.0× 10 0.1× 12 0.2× 21 0.5× 25 328
Suixiang Shi China 12 24 0.2× 122 1.3× 40 0.5× 24 0.4× 102 2.3× 28 324
Beatriz Pérez-Díaz Spain 6 28 0.2× 46 0.5× 58 0.7× 18 0.3× 44 1.0× 15 331
Stefan Ivić Croatia 7 104 0.8× 30 0.3× 7 0.1× 11 0.2× 12 0.3× 18 308

Countries citing papers authored by David Mera

Since Specialization
Citations

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

Fields of papers citing papers by David Mera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mera

This figure shows the co-authorship network connecting the top 25 collaborators of David Mera. A scholar is included among the top collaborators of David Mera 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 David Mera. David Mera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Rady, Sherine, et al.. (2025). Advancements in water quality prediction: a practical review of machine learning and deep learning approaches. Cluster Computing. 28(9). 1 indexed citations
2.
Gómez, Andrés, et al.. (2024). Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction. Machine Learning Science and Technology. 6(1). 15023–15023. 3 indexed citations
3.
Mera, David, et al.. (2022). Study and comparison of different Machine Learning-based approaches to solve the inverse problem in Electrical Impedance Tomographies. Neural Computing and Applications. 35(7). 5465–5477. 17 indexed citations
4.
Mera, David, et al.. (2020). A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings. Energy Systems. 13(3). 689–705. 84 indexed citations
5.
Viqueira, José R. R., et al.. (2020). Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens. Applied Sciences. 10(3). 856–856. 10 indexed citations
6.
Mera, David, et al.. (2018). Towards a Fast and Accurate EIT Inverse Problem Solver: A Machine Learning Approach. Electronics. 7(12). 422–422. 31 indexed citations
7.
Viqueira, José R. R., et al.. (2018). GeoHbbTV: A framework for the development and evaluation of geographic interactive TV contents. Multimedia Tools and Applications. 77(21). 28023–28048. 1 indexed citations
8.
Alawadi, Sadi, Manuel Fernández-Delgado, David Mera, & Senén Barro. (2017). Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems. Neural Computing and Applications. 31(8). 3515–3531. 9 indexed citations
9.
Mera, David, Verónica Bolón‐Canedo, José M. Cotos, & Amparo Alonso‐Betanzos. (2016). On the use of feature selection to improve the detection of sea oil spills in SAR images. Computers & Geosciences. 100. 166–178. 61 indexed citations
10.
Mera, David, Michal Batko, & Pavel Zezula. (2016). Speeding up the multimedia feature extraction: a comparative study on the big data approach. Multimedia Tools and Applications. 76(5). 7497–7517. 5 indexed citations
11.
Mera, David, Manuel Fernández-Delgado, José M. Cotos, José R. R. Viqueira, & Senén Barro. (2016). Comparison of a massive and diverse collection of ensembles and other classifiers for oil spill detection in SAR satellite images. Neural Computing and Applications. 28(S1). 1101–1117. 13 indexed citations
12.
Mera, David, Michal Batko, & Pavel Zezula. (2014). Towards Fast Multimedia Feature Extraction: Hadoop or Storm. 106–109. 8 indexed citations
13.
Mera, David, et al.. (2014). Automatic decision support system based on SAR data for oil spill detection. Computers & Geosciences. 72. 184–191. 29 indexed citations
14.
Mera, David, et al.. (2012). Adaptive thresholding algorithm based on SAR images and wind data to segment oil spills along the northwest coast of the Iberian Peninsula. Marine Pollution Bulletin. 64(10). 2090–2096. 45 indexed citations
15.
16.
Gómez, Andrés, et al.. (2010). Retelab: A geospatial grid web laboratory for the oceanographic research community. Future Generation Computer Systems. 26(8). 1157–1164. 4 indexed citations
17.
Mera, David, et al.. (2009). An Integration of Several Technologies in the Architecture Definition and Deployment of a Geospatial Grid Web Portal.. 86–91. 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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