Jesús Conesa-Muñoz
- Plant Science
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Civil and Structural Engineering
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Ángela RibeiroDionisio AndújarJosé M. Bengochea-GuevaraGonzalo PájaresMariano González-de-SotoP. González de SantosCésar Fernández‐QuintanillaJosé Dorado
- Topics
- Smart Agriculture and AI (7 papers)Agricultural Engineering and Mechanization (4 papers)Modular Robots and Swarm Intelligence (2 papers)
In The Last Decade
Jesús Conesa-Muñoz
14 papers receiving 274 citations
Peers
Comparison fields: 5 of 51
- Plant Science 133
- Computer Vision and Pattern Recognition 70
- Mechanical Engineering 64
- Civil and Structural Engineering 59
- Industrial and Manufacturing Engineering 49
Countries citing papers authored by Jesús Conesa-Muñoz
This map shows the geographic impact of Jesús Conesa-Muñoz'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 Jesús Conesa-Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Conesa-Muñoz more than expected).
Fields of papers citing papers by Jesús Conesa-Muñoz
This network shows the impact of papers produced by Jesús Conesa-Muñoz. 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 Jesús Conesa-Muñoz. The network helps show where Jesús Conesa-Muñoz may publish in the future.
Co-authorship network of co-authors of Jesús Conesa-Muñoz
This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Conesa-Muñoz. A scholar is included among the top collaborators of Jesús Conesa-Muñoz 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 Jesús Conesa-Muñoz. Jesús Conesa-Muñoz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 8 | |
| 3 | 48 | |
| 4 | 54 | |
| 5 | 58 | |
| 6 | 26 | |
| 7 | 28 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Developing a small autonomous robot for crop inspection. | 2 |
| 13 | 15 | |
| 14 | 1 |
About Jesús Conesa-Muñoz
Jesús Conesa-Muñoz is a scholar working on Industrial and Manufacturing Engineering, Plant Science and Geology, having authored 14 papers that have together received 280 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Agricultural Engineering and Mechanization (4 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (49 citations), Plant Science (133 citations) and Computer Vision and Pattern Recognition (70 citations). Jesús Conesa-Muñoz has collaborated with scholars based in Spain and Sri Lanka. Frequent co-authors include Ángela Ribeiro, Dionisio Andújar, José M. Bengochea-Guevara, Gonzalo Pájares, Mariano González-de-Soto, P. González de Santos, César Fernández‐Quintanilla, José Dorado, Jaime del Cerro and Antonio Barrientos. Their work appears in journals such as Expert Systems with Applications, Sensors 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.