Fernando T. Wakida
- Pollution top 1%
- Industrial and Manufacturing Engineering top 1%
- Geochemistry and Petrology top 2%
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Co-authors
- David N. LernerTeresita de Jesus Piñón-ColinEduardo Rogel-HernándezHeriberto Espinoza‐GómezCarlos Barrera-DíazFelipe AmezcuaCarlos Green-RuízM. Barletta
- Topics
- Heavy metals in environment (6 papers)Recycling and Waste Management Techniques (6 papers)Microplastics and Plastic Pollution (6 papers)
- Partner nations
- MexicoUnited KingdomBelgium
In The Last Decade
Fernando T. Wakida
29 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Pollution 630
- Industrial and Manufacturing Engineering 425
- Geochemistry and Petrology 363
- Environmental Engineering 303
- Water Science and Technology 294
Countries citing papers authored by Fernando T. Wakida
This map shows the geographic impact of Fernando T. Wakida'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 Fernando T. Wakida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando T. Wakida more than expected).
Fields of papers citing papers by Fernando T. Wakida
This network shows the impact of papers produced by Fernando T. Wakida. 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 Fernando T. Wakida. The network helps show where Fernando T. Wakida may publish in the future.
Co-authorship network of co-authors of Fernando T. Wakida
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando T. Wakida. A scholar is included among the top collaborators of Fernando T. Wakida 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 Fernando T. Wakida. Fernando T. Wakida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 15 | |
| 4 | 24 | |
| 5 | 224 | |
| 6 | 14 | |
| 7 | 148 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 0 | |
| 12 | 26 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 25 | |
| 17 | Impact of a polluted stream on its adjacent aquifer : the case of the Alamar zone, Tijuana, Mexico | 1 |
| 18 | 2 | |
| 19 | Non-agricultural sources of groundwater nitrate: a review and case studybreakdown → | 548 |
| 20 | 15 |
About Fernando T. Wakida
Fernando T. Wakida is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Heavy metals in environment (6 papers), Recycling and Waste Management Techniques (6 papers) and Microplastics and Plastic Pollution (6 papers). The work is most often cited by research in Geochemistry and Petrology (363 citations), Pollution (630 citations) and Industrial and Manufacturing Engineering (425 citations). Fernando T. Wakida has collaborated with scholars based in Mexico, United Kingdom and Belgium. Frequent co-authors include David N. Lerner, Teresita de Jesus Piñón-Colin, Eduardo Rogel-Hernández, Heriberto Espinoza‐Gómez, Carlos Barrera-Díaz, Felipe Amezcua, Carlos Green-Ruíz, M. Barletta, Iván Ramírez and Héctor Magaña. Their work appears in journals such as The Science of The Total Environment, Water Research and Marine Pollution Bulletin.
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.