David Mera
Impact in
- Pollution top 10%
- Oil Spill Detection and Mitigation
- Oceanography top 10%
- Marine and coastal ecosystems
Papers in
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- Distributed and Parallel Computing Systems 3
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- Oil Spill Detection and Mitigation 4
- Co-authors
- José M. Cotos (8 shared papers)Manuel Fernández-Delgado (4 shared papers)Verónica Bolón‐Canedo (1 shared paper)Carl Magnus Olsson (1 shared paper)Amparo Alonso‐Betanzos (1 shared paper)Fahed Alkhabbas (1 shared paper)Paul Davidsson (1 shared paper)Oscar Garcia‐Pineda (1 shared paper)
In The Last Decade
David Mera
17 papers receiving 362 citations
Peers
Comparison fields: 5 of 82
- Pollution 139
- Oceanography 98
- Building and Construction 68
- Environmental Engineering 52
- Health, Toxicology and Mutagenesis 31
Countries citing papers authored by David Mera
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
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-authors
The 23 scholars most cited alongside David Mera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 93 | |
| 2 | 2016 | 65 | |
| 3 | 2012 | 51 | |
| 4 | 2018 | 33 | |
| 5 | 2014 | 31 | |
| 6 | 2022 | 19 | |
| 7 | 2016 | 15 | |
| 8 | 2014 | 15 | |
| 9 | 2020 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2025 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2010 | 4 | |
| 15 | 2024 | 3 | |
| 16 | An Integration of Several Technologies in the Architecture Definition and Deployment of a Geospatial Grid Web Portal. | 2009 | 2 |
| 17 | 2018 | 1 | |
| 18 | A User Management Web System Based on Portlets for a Grid Environment Integrating Shibboleth, PURSe, PERMIS and Gridsphere. | 2008 | 0 |
| 19 | 2012 | 0 |
About David Mera
David Mera is a scholar working on Computer Networks and Communications, Pollution, Oceanography, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 19 papers that have together received 372 indexed citations. Recurring topics across this work include Oil Spill Detection and Mitigation (4 papers), Marine and coastal ecosystems (4 papers), Video Analysis and Summarization (3 papers), Image Retrieval and Classification Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Multimedia Communication and Technology (2 papers), Electrical and Bioimpedance Tomography (2 papers) and Advanced Computational Techniques and Applications (2 papers). The work is most often cited by research in Pollution (139 citations), Oceanography (98 citations), Building and Construction (68 citations), Environmental Engineering (52 citations) and Health, Toxicology and Mutagenesis (31 citations). David Mera has collaborated with scholars based in Spain, Czechia and Sweden. Frequent co-authors include José M. Cotos, Manuel Fernández-Delgado, Verónica Bolón‐Canedo, Carl Magnus Olsson, Amparo Alonso‐Betanzos, Fahed Alkhabbas, Paul Davidsson, Oscar Garcia‐Pineda, Andrés Gómez and Pavel Zezula. Their work appears in journals such as Neural Computing and Applications, Multimedia Tools and Applications, Computers & Geosciences, Marine Pollution Bulletin and Machine Learning Science and Technology.
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.