Mohammad Reza Arvan
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Ahmad Reza ValiBabak MozafariTuraj AmraeeBijan MoaveniBehzad MoshiriVahab NekoukarHamid KhaloozadehMohammad Rezaei
- Topics
- Adaptive Control of Nonlinear Systems (6 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)Guidance and Control Systems (5 papers)
- Cited by
- Aerospace EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Partner nations
- Iran
In The Last Decade
Mohammad Reza Arvan
32 papers receiving 312 citations
Peers
Comparison fields: 5 of 47
- Aerospace Engineering 182
- Electrical and Electronic Engineering 156
- Control and Systems Engineering 134
- Computer Vision and Pattern Recognition 57
- Artificial Intelligence 30
Countries citing papers authored by Mohammad Reza Arvan
This map shows the geographic impact of Mohammad Reza Arvan'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 Mohammad Reza Arvan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Reza Arvan more than expected).
Fields of papers citing papers by Mohammad Reza Arvan
This network shows the impact of papers produced by Mohammad Reza Arvan. 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 Mohammad Reza Arvan. The network helps show where Mohammad Reza Arvan may publish in the future.
Co-authorship network of co-authors of Mohammad Reza Arvan
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Reza Arvan. A scholar is included among the top collaborators of Mohammad Reza Arvan 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 Mohammad Reza Arvan. Mohammad Reza Arvan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 49 | |
| 13 | 3 | |
| 14 | Error Analysis in Accelerometers Calibration of Measurement while Drilling Instrument used in Directional Drilling Operations | 1 |
| 15 | 93 | |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 30 | |
| 19 | 14 | |
| 20 | An Implementation Image Edge and Feature Detection Using Neural Network | 3 |
About Mohammad Reza Arvan
Mohammad Reza Arvan is a scholar working on Control and Systems Engineering, Aerospace Engineering and Artificial Intelligence, having authored 34 papers that have together received 335 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Guidance and Control Systems (5 papers). The work is most often cited by research in Aerospace Engineering (182 citations), Control and Systems Engineering (134 citations) and Computer Vision and Pattern Recognition (57 citations). Mohammad Reza Arvan has collaborated with scholars based in Iran. Frequent co-authors include Ahmad Reza Vali, Babak Mozafari, Turaj Amraee, Bijan Moaveni, Behzad Moshiri, Vahab Nekoukar, Hamid Khaloozadeh, Mohammad Rezaei, Ali Khaki Sedigh and Babak Nadjar Araabi. Their work appears in journals such as Sensors, International Journal of Electrical Power & Energy Systems and Nonlinear Dynamics.
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.