Andrés El-Fakdi
- Ocean Engineering top 2%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Co-authors
- Marc CarrerasPere RidaoA. TianoNarcís PalomerasXavier CufíJoaquím MeléndezPascal HaigronVincent Auffret
- Topics
- Reinforcement Learning in Robotics (8 papers)Underwater Vehicles and Communication Systems (6 papers)Fault Detection and Control Systems (4 papers)
In The Last Decade
Andrés El-Fakdi
27 papers receiving 407 citations
Peers
Comparison fields: 5 of 64
- Ocean Engineering 233
- Control and Systems Engineering 165
- Artificial Intelligence 151
- Computer Vision and Pattern Recognition 85
- Aerospace Engineering 67
Countries citing papers authored by Andrés El-Fakdi
This map shows the geographic impact of Andrés El-Fakdi'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 Andrés El-Fakdi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrés El-Fakdi more than expected).
Fields of papers citing papers by Andrés El-Fakdi
This network shows the impact of papers produced by Andrés El-Fakdi. 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 Andrés El-Fakdi. The network helps show where Andrés El-Fakdi may publish in the future.
Co-authorship network of co-authors of Andrés El-Fakdi
This figure shows the co-authorship network connecting the top 25 collaborators of Andrés El-Fakdi. A scholar is included among the top collaborators of Andrés El-Fakdi 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 Andrés El-Fakdi. Andrés El-Fakdi 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 | On Intellectual Property in Online Open Innovation for SME by Means of Blockchain and Smartcontracts | 7 |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | TEAM-BASED BUILDING OF A REMOTELY OPERATED UNDERWATER ROBOT AS A METHOD TO INCREASE INTEREST FOR ENGINEERING AMONG SECONDARY SCHOOL STUDENTS | 5 |
| 9 | 1 | |
| 10 | 11 | |
| 11 | Attracting Talent to Increase Interest for Engineering among Secondary School Students Team-based building of a Remotely Operated Underwater Robot | 2 |
| 12 | 6 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 23 | |
| 16 | 12 | |
| 17 | Direct Policy Search Reinforcement Learning for Robot Control | 4 |
| 18 | 12 | |
| 19 | 9 | |
| 20 | 72 |
About Andrés El-Fakdi
Andrés El-Fakdi is a scholar working on Architecture, Control and Systems Engineering and Ocean Engineering, having authored 30 papers that have together received 429 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Underwater Vehicles and Communication Systems (6 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Ocean Engineering (233 citations), Control and Systems Engineering (165 citations) and Artificial Intelligence (151 citations). Andrés El-Fakdi has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Marc Carreras, Pere Ridao, A. Tiano, Narcís Palomeras, Xavier Cufí, Joaquím Meléndez, Pascal Haigron, Vincent Auffret, Rafael García and Carlos Silvestre. Their work appears in journals such as Expert Systems with Applications, Robotics and Autonomous Systems and Control Engineering Practice.
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.