Jafar Roshanian

1.3k total citations
109 papers, 933 citations indexed

About

Jafar Roshanian is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Jafar Roshanian has authored 109 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Aerospace Engineering, 47 papers in Control and Systems Engineering and 15 papers in Computational Theory and Mathematics. Recurrent topics in Jafar Roshanian's work include Adaptive Control of Nonlinear Systems (34 papers), Spacecraft Dynamics and Control (18 papers) and Guidance and Control Systems (14 papers). Jafar Roshanian is often cited by papers focused on Adaptive Control of Nonlinear Systems (34 papers), Spacecraft Dynamics and Control (18 papers) and Guidance and Control Systems (14 papers). Jafar Roshanian collaborates with scholars based in Iran, United States and Bulgaria. Jafar Roshanian's co-authors include Masoud Ebrahimi, Ali Reza Mehrabian, Caro Lucas, Behrouz Ebrahimi, Mostafa Hassanalian, Mohsen Bahrami, Hamed Afshari, R.D. Firouz-Abadi, Alireza Basohbat Novinzadeh and Hamidreza Jafari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Sound and Vibration.

In The Last Decade

Jafar Roshanian

101 papers receiving 889 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jafar Roshanian Iran 16 532 325 97 93 91 109 933
Samir Bennani Netherlands 18 509 1.0× 751 2.3× 66 0.7× 87 0.9× 61 0.7× 128 1.2k
Gertjan Looye Germany 19 558 1.0× 597 1.8× 130 1.3× 47 0.5× 81 0.9× 93 983
Timothy Sands United States 19 528 1.0× 509 1.6× 42 0.4× 110 1.2× 41 0.5× 73 1.1k
Weihua Zhang China 16 343 0.6× 83 0.3× 146 1.5× 56 0.6× 155 1.7× 111 876
Morten Bisgaard Denmark 15 600 1.1× 505 1.6× 26 0.3× 56 0.6× 24 0.3× 31 1.0k
J. Balaram United States 17 536 1.0× 253 0.8× 28 0.3× 99 1.1× 41 0.5× 65 1.1k
Xuepan Zhang China 13 475 0.9× 57 0.2× 36 0.4× 46 0.5× 54 0.6× 32 751
Jan Roskam United States 10 919 1.7× 409 1.3× 39 0.4× 75 0.8× 230 2.5× 70 1.3k
Larry Silverberg United States 13 202 0.4× 207 0.6× 25 0.3× 24 0.3× 48 0.5× 83 630
Lei Liu China 18 368 0.7× 509 1.6× 113 1.2× 91 1.0× 43 0.5× 156 1.1k

Countries citing papers authored by Jafar Roshanian

Since Specialization
Citations

This map shows the geographic impact of Jafar Roshanian'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 Jafar Roshanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jafar Roshanian more than expected).

Fields of papers citing papers by Jafar Roshanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jafar Roshanian. 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 Jafar Roshanian. The network helps show where Jafar Roshanian may publish in the future.

Co-authorship network of co-authors of Jafar Roshanian

This figure shows the co-authorship network connecting the top 25 collaborators of Jafar Roshanian. A scholar is included among the top collaborators of Jafar Roshanian 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 Jafar Roshanian. Jafar Roshanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Roshanian, Jafar, et al.. (2025). A novel combination of fuzzy PID and deep neural controller in feedback-error-learning framework. Chaos Solitons & Fractals. 194. 116250–116250. 1 indexed citations
2.
Roshanian, Jafar, et al.. (2025). Multiple aerial/ground vehicles coordinated spraying using reinforcement learning. Engineering Applications of Artificial Intelligence. 151. 110686–110686. 1 indexed citations
3.
Roshanian, Jafar, et al.. (2024). Automatic landing system using brain emotional learning based intelligent controller: A new algorithm. AIP conference proceedings. 3064. 20004–20004. 1 indexed citations
4.
Azadmanesh, M.H., Jafar Roshanian, & Mostafa Hassanalian. (2023). On the importance of studying asteroids: A comprehensive review. Progress in Aerospace Sciences. 142. 100957–100957. 8 indexed citations
5.
Roshanian, Jafar, et al.. (2023). Optimal path planning of spacecraft fleet to asteroid detumbling utilizing deep neural networks and genetic algorithm. Advances in Space Research. 72(8). 3321–3335. 1 indexed citations
6.
Roshanian, Jafar, et al.. (2020). A novel concept of VTOL bi-rotor UAV based on moving mass control. Aerospace Science and Technology. 107. 106238–106238. 29 indexed citations
7.
Roshanian, Jafar, et al.. (2019). Approximately optimal manoeuvre strategy for aero-assisted space mission. Advances in Space Research. 64(2). 436–450. 1 indexed citations
8.
Ahmadi, Karim, et al.. (2019). On the Design of Nonlinear Discrete-Time Adaptive Controller for damaged Airplane. 12(2). 61–70. 1 indexed citations
9.
Roshanian, Jafar, et al.. (2018). Robust ascent trajectory design and optimization of a typical launch vehicle. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 232(24). 4601–4614. 9 indexed citations
10.
Roshanian, Jafar, et al.. (2017). Semi‐feedback optimal control design for nonlinear problems. Optimal Control Applications and Methods. 39(2). 549–562. 1 indexed citations
11.
Roshanian, Jafar, et al.. (2017). Analytical fault tolerant navigation system for an aerospace launch vehicle using sliding mode observer. 4(1). 53–64. 1 indexed citations
12.
Roshanian, Jafar, et al.. (2016). Star identification based on euclidean distance transform, voronoi tessellation, and k-nearest neighbor classification. IEEE Transactions on Aerospace and Electronic Systems. 52(6). 2940–2949. 26 indexed citations
13.
Roshanian, Jafar, et al.. (2015). 2MASS infrared star catalog data mining for use onboard a daytime star tracker. 75–79. 3 indexed citations
14.
Roshanian, Jafar, et al.. (2012). Robustness Study of Non-Dimensional Star Pattern Recognition for a Typical Star Tracker. SHILAP Revista de lepidopterología. 6(322). 63–68. 2 indexed citations
15.
Roshanian, Jafar & Masoud Ebrahimi. (2012). Latin hypercube sampling applied to reliability-based multidisciplinary design optimization of a launch vehicle. Aerospace Science and Technology. 28(1). 297–304. 65 indexed citations
16.
Afshari, Hamed, Jafar Roshanian, & Alireza Basohbat Novinzadeh. (2010). Robust Nonlinear Optimal Solution to the Lunar Landing Guidance by Using Neighboring Optimal Control. Journal of Aerospace Engineering. 24(1). 20–30. 9 indexed citations
17.
Mehrabian, Ali Reza, Caro Lucas, & Jafar Roshanian. (2008). DESIGN OF AN AEROSPACE LAUNCH VEHICLE AUTOPILOT BASED ON OPTIMIZED EMOTIONAL LEARNING ALGORITHM. Cybernetics & Systems. 39(3). 284–303. 12 indexed citations
18.
Roshanian, Jafar, A. Saleh, & Mohammad Reza Jahed‐Motlagh. (2007). On the design of adaptive autopilots for a launch vehicle. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 221(1). 27–38. 6 indexed citations
19.
Mehrabian, Ali Reza, et al.. (2007). Gain-scheduled flight control law design using a new fuzzy clustering technique. 36. 795–800. 1 indexed citations
20.
Mirzaei, Masoud, et al.. (2006). AERODYNAMIC OPTIMIZATION OF AN AIRFOIL USING GRADIENT BASED METHOD. Research Repository (Delft University of Technology). 2 indexed citations

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.

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