Daniel Bonilla Licea
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Co-authors
- Mounir GhoghoAbdellatif KobbaneMartin SaskaDes McLernonGiuseppe SilanoSyed Ali Raza ZaidiEdmond NurellariM. Bonilla
- Topics
- UAV Applications and Optimization (9 papers)Distributed Control Multi-Agent Systems (8 papers)Energy Harvesting in Wireless Networks (6 papers)
- Cited by
- Aerospace EngineeringComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- MoroccoUnited KingdomCzechia
In The Last Decade
Daniel Bonilla Licea
31 papers receiving 298 citations
Peers
Comparison fields: 5 of 45
- Aerospace Engineering 132
- Electrical and Electronic Engineering 129
- Computer Networks and Communications 104
- Computer Vision and Pattern Recognition 89
- Control and Systems Engineering 52
Countries citing papers authored by Daniel Bonilla Licea
This map shows the geographic impact of Daniel Bonilla Licea'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 Daniel Bonilla Licea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bonilla Licea more than expected).
Fields of papers citing papers by Daniel Bonilla Licea
This network shows the impact of papers produced by Daniel Bonilla Licea. 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 Daniel Bonilla Licea. The network helps show where Daniel Bonilla Licea may publish in the future.
Co-authorship network of co-authors of Daniel Bonilla Licea
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Bonilla Licea. A scholar is included among the top collaborators of Daniel Bonilla Licea 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 Daniel Bonilla Licea. Daniel Bonilla Licea 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 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 45 | |
| 10 | 24 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 30 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 22 | |
| 19 | Robotic Mobility Diversity Algorithm with Continuous Search Space | 2 |
| 20 | 14 |
About Daniel Bonilla Licea
Daniel Bonilla Licea is a scholar working on Computer Networks and Communications, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 302 indexed citations. Recurring topics across this work include UAV Applications and Optimization (9 papers), Distributed Control Multi-Agent Systems (8 papers) and Energy Harvesting in Wireless Networks (6 papers). The work is most often cited by research in Aerospace Engineering (132 citations), Computer Networks and Communications (104 citations) and Computer Vision and Pattern Recognition (89 citations). Daniel Bonilla Licea has collaborated with scholars based in Morocco, United Kingdom and Czechia. Frequent co-authors include Mounir Ghogho, Abdellatif Kobbane, Martin Saska, Des McLernon, Giuseppe Silano, Syed Ali Raza Zaidi, Edmond Nurellari, M. Bonilla, Samson Lasaulce and Vineeth S. Varma. Their work appears in journals such as Proceedings of the IEEE, Applied Energy and IEEE Transactions on Signal Processing.
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.