Hever Moncayo
- Biomedical Engineering top 10%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Molecular Biology
- Co-authors
- Mario PerhinschiJennifer DavisPeter ThomsonJohannio MarulandaDiego F. ValenciaRobert P. MuellerW. Scott WayneRichard J. Prazenica
- Topics
- Artificial Immune Systems Applications (43 papers)Fault Detection and Control Systems (18 papers)Aerospace and Aviation Technology (14 papers)
- Journals
- IEEE Transactions on Aerospace and Electronic SystemsJournal of Guidance Control and DynamicsEngineering Applications of Artificial Intelligence
- Partner nations
- United StatesItalyCanada
In The Last Decade
Hever Moncayo
80 papers receiving 524 citations
Peers
Comparison fields: 5 of 46
- Biomedical Engineering 307
- Control and Systems Engineering 247
- Aerospace Engineering 164
- Artificial Intelligence 131
- Molecular Biology 60
Countries citing papers authored by Hever Moncayo
This map shows the geographic impact of Hever Moncayo'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 Hever Moncayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hever Moncayo more than expected).
Fields of papers citing papers by Hever Moncayo
This network shows the impact of papers produced by Hever Moncayo. 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 Hever Moncayo. The network helps show where Hever Moncayo may publish in the future.
Co-authorship network of co-authors of Hever Moncayo
This figure shows the co-authorship network connecting the top 25 collaborators of Hever Moncayo. A scholar is included among the top collaborators of Hever Moncayo 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 Hever Moncayo. Hever Moncayo 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 40 | |
| 20 | Integrated Framework for Aircraft Sub-System Failure Detection, Identification, and Evaluation Based on the Artificial Immune System Paradigm | 8 |
About Hever Moncayo
Hever Moncayo is a scholar working on Control and Systems Engineering, Aerospace Engineering and Biomedical Engineering, having authored 90 papers that have together received 577 indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (43 papers), Fault Detection and Control Systems (18 papers) and Aerospace and Aviation Technology (14 papers). The work is most often cited by research in Control and Systems Engineering (247 citations), Biomedical Engineering (307 citations) and Aerospace Engineering (164 citations). Hever Moncayo has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Mario Perhinschi, Jennifer Davis, Peter Thomson, Johannio Marulanda, Diego F. Valencia, Robert P. Mueller, W. Scott Wayne, Richard J. Prazenica, Marcello Napolitano and Mario Luca Fravolini. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Guidance Control and Dynamics and Engineering Applications of Artificial Intelligence.
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.