Manuel Vázquez-Arellano
- Plant Science top 10%
- Environmental Engineering top 5%
- Ecology top 10%
- Computer Vision and Pattern Recognition
- Geology top 10%
- Co-authors
- David ReiserHans W. GriepentrogDimitrios S. ParaforosMiguel Garrido IzardConstantino Valero UbiernaYongjing WangAbdul Mounem Mouazen
- Topics
- Smart Agriculture and AI (11 papers)Remote Sensing and LiDAR Applications (9 papers)Leaf Properties and Growth Measurement (5 papers)
- Partner nations
- GermanySpainPhilippines
In The Last Decade
Manuel Vázquez-Arellano
13 papers receiving 425 citations
Peers
Comparison fields: 5 of 53
- Plant Science 312
- Environmental Engineering 174
- Ecology 144
- Computer Vision and Pattern Recognition 57
- Geology 51
Countries citing papers authored by Manuel Vázquez-Arellano
This map shows the geographic impact of Manuel Vázquez-Arellano'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 Manuel Vázquez-Arellano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Vázquez-Arellano more than expected).
Fields of papers citing papers by Manuel Vázquez-Arellano
This network shows the impact of papers produced by Manuel Vázquez-Arellano. 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 Manuel Vázquez-Arellano. The network helps show where Manuel Vázquez-Arellano may publish in the future.
Co-authorship network of co-authors of Manuel Vázquez-Arellano
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Vázquez-Arellano. A scholar is included among the top collaborators of Manuel Vázquez-Arellano 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 Manuel Vázquez-Arellano. Manuel Vázquez-Arellano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | Crop plant reconstruction and feature extraction based on 3-D vision | 1 |
| 4 | 70 | |
| 5 | 28 | |
| 6 | 28 | |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | Using Assembled 2D LiDAR Data for Single Plant Detection | 4 |
| 11 | Reconstruction of geo-referenced maize plants using a consumer time-of-flight camera in different agricultural environments. | 2 |
| 12 | 182 | |
| 13 | 18 | |
| 14 | 67 |
About Manuel Vázquez-Arellano
Manuel Vázquez-Arellano is a scholar working on Environmental Engineering, Geology and Plant Science, having authored 14 papers that have together received 438 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Remote Sensing and LiDAR Applications (9 papers) and Leaf Properties and Growth Measurement (5 papers). The work is most often cited by research in Environmental Engineering (174 citations), Geology (51 citations) and Plant Science (312 citations). Manuel Vázquez-Arellano has collaborated with scholars based in Germany, Spain and Philippines. Frequent co-authors include David Reiser, Hans W. Griepentrog, Dimitrios S. Paraforos, Miguel Garrido Izard, Constantino Valero Ubierna, Yongjing Wang and Abdul Mounem Mouazen. Their work appears in journals such as Sensors, Remote Sensing and Computers and Electronics in Agriculture.
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.