Pedro V. Mauri
- Plant Science top 10%
- Molecular Biology
- Pollution top 10%
- Industrial and Manufacturing Engineering top 10%
- Ecology
- Co-authors
- Jaime LloretLorena ParraJ. A. ManzaneraSalima YousfiJose M. JiménezLaura GarcíaPascal LorenzTheresa Schell
- Topics
- Smart Agriculture and AI (8 papers)Bioenergy crop production and management (6 papers)Turfgrass Adaptation and Management (5 papers)
In The Last Decade
Pedro V. Mauri
42 papers receiving 557 citations
Peers
Comparison fields: 5 of 79
- Plant Science 271
- Molecular Biology 101
- Pollution 92
- Industrial and Manufacturing Engineering 81
- Ecology 81
Countries citing papers authored by Pedro V. Mauri
This map shows the geographic impact of Pedro V. Mauri'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 Pedro V. Mauri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro V. Mauri more than expected).
Fields of papers citing papers by Pedro V. Mauri
This network shows the impact of papers produced by Pedro V. Mauri. 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 Pedro V. Mauri. The network helps show where Pedro V. Mauri may publish in the future.
Co-authorship network of co-authors of Pedro V. Mauri
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro V. Mauri. A scholar is included among the top collaborators of Pedro V. Mauri 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 Pedro V. Mauri. Pedro V. Mauri 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 | 9 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 80 | |
| 6 | Comparison of Performance in Weed Detection with Aerial RGB and Thermal Images Gathered at Different Height | 5 |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 24 | |
| 10 | 27 | |
| 11 | 33 | |
| 12 | 29 | |
| 13 | Comparison of Single Image Processing Techniques and Their Combination for Detection of Weed in Lawns | 4 |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | A wlan design for video transmission in rural environments for agriculture and environmental researches and educational purposes | 5 |
| 20 | 38 |
About Pedro V. Mauri
Pedro V. Mauri is a scholar working on Agronomy and Crop Science, Plant Science and Environmental Chemistry, having authored 44 papers that have together received 587 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Bioenergy crop production and management (6 papers) and Turfgrass Adaptation and Management (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (81 citations), Pollution (92 citations) and Plant Science (271 citations). Pedro V. Mauri has collaborated with scholars based in Spain, France and Norway. Frequent co-authors include Jaime Lloret, Lorena Parra, J. A. Manzanera, Salima Yousfi, Jose M. Jiménez, Laura García, Pascal Lorenz, Theresa Schell, Luca Nizzetto and Nina Buenaventura. Their work appears in journals such as Environmental Pollution, Chemosphere and Sensors.
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.