Carlos Cambra
- Plant Science top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Water Science and Technology
- Artificial Intelligence
- Co-authors
- Jaime LloretSandra SendraJesús TomásLaura GarcíaRaquel LacuestaÁlvaro HerreroHéctor QuintiánEmilio Corchado
- Topics
- Anomaly Detection Techniques and Applications (6 papers)Software Engineering Research (4 papers)Smart Agriculture and AI (4 papers)
In The Last Decade
Carlos Cambra
16 papers receiving 396 citations
Peers
Comparison fields: 5 of 88
- Plant Science 201
- Computer Networks and Communications 122
- Electrical and Electronic Engineering 69
- Water Science and Technology 60
- Artificial Intelligence 51
Countries citing papers authored by Carlos Cambra
This map shows the geographic impact of Carlos Cambra'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 Carlos Cambra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Cambra more than expected).
Fields of papers citing papers by Carlos Cambra
This network shows the impact of papers produced by Carlos Cambra. 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 Carlos Cambra. The network helps show where Carlos Cambra may publish in the future.
Co-authorship network of co-authors of Carlos Cambra
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Cambra. A scholar is included among the top collaborators of Carlos Cambra 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 Carlos Cambra. Carlos Cambra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 138 | |
| 14 | 5 | |
| 15 | 66 | |
| 16 | 93 | |
| 17 | 7 | |
| 18 | 19 | |
| 19 | 26 |
About Carlos Cambra
Carlos Cambra is a scholar working on Software, Computer Networks and Communications and Analytical Chemistry, having authored 19 papers that have together received 420 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Software Engineering Research (4 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Plant Science (201 citations), Computer Networks and Communications (122 citations) and Water Science and Technology (60 citations). Carlos Cambra has collaborated with scholars based in Spain, Brazil and France. Frequent co-authors include Jaime Lloret, Sandra Sendra, Jesús Tomás, Laura García, Raquel Lacuesta, Álvaro Herrero, Héctor Quintián, Emilio Corchado, Daniel Urda and Lorena Parra. Their work appears in journals such as Sensors, Neurocomputing and Applied Sciences.
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.