Remus C. Avram
- Control and Systems Engineering top 5%
- Artificial Intelligence
- Aerospace Engineering top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics top 10%
- Topics
- Fault Detection and Control Systems (9 papers)Adaptive Control of Nonlinear Systems (9 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Control Systems TechnologyJournal of Intelligent & Robotic Systems
- Partner nations
- United StatesRomania
In The Last Decade
Remus C. Avram
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 32
- Control and Systems Engineering 294
- Artificial Intelligence 89
- Aerospace Engineering 88
- Computer Networks and Communications 58
- Computational Theory and Mathematics 50
Countries citing papers authored by Remus C. Avram
This map shows the geographic impact of Remus C. Avram'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 Remus C. Avram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Remus C. Avram more than expected).
Fields of papers citing papers by Remus C. Avram
This network shows the impact of papers produced by Remus C. Avram. 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 Remus C. Avram. The network helps show where Remus C. Avram may publish in the future.
Co-authorship network of co-authors of Remus C. Avram
This figure shows the co-authorship network connecting the top 25 collaborators of Remus C. Avram. A scholar is included among the top collaborators of Remus C. Avram 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 Remus C. Avram. Remus C. Avram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 113 | |
| 3 | 11 | |
| 4 | 108 | |
| 5 | 28 | |
| 6 | 3 | |
| 7 | Fault Diagnosis and Fault-Tolerant Control of Quadrotor UAVs | 11 |
| 8 | 4 | |
| 9 | 49 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | A UNIFIED NONLINEAR ADAPTIVE APPROACH FOR THE FAULT DIAGNOSIS OF AIRCRAFT ENGINES | 1 |
| 13 | The Contribution of the Neo-Schumpeterian Approach to the Development of the Economic Theory: Emphasis on the Meso-Economic Level | 2 |
About Remus C. Avram
Remus C. Avram is a scholar working on Control and Systems Engineering, Artificial Intelligence and Fluid Flow and Transfer Processes, having authored 13 papers that have together received 346 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (9 papers), Adaptive Control of Nonlinear Systems (9 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). The work is most often cited by research in Control and Systems Engineering (294 citations), Aerospace Engineering (88 citations) and Computational Theory and Mathematics (50 citations). Remus C. Avram has collaborated with scholars based in United States and Romania. Frequent co-authors include Jonathan A. Muse, Xiaodong Zhang, Xiaodong Zhang, Matthew Clark, Xiaodong Zhang and Michael Roemer. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Control Systems Technology and Journal of Intelligent & Robotic Systems.
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.