Suhail Akhtar
- Aerospace Engineering top 5%
- Aerospace and Aviation Technology 13
- Guidance and Control Systems 10
- Aerospace Engineering and Control Systems 6
- Aerospace Engineering and Energy Systems 4
- Inertial Sensor and Navigation 4
- Control and Systems Engineering top 10%
- Adaptive Control of Nonlinear Systems 6
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics 3
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- Adaptive Dynamic Programming Control 4
- Co-authors
- Imran MirAdnan MaqsoodFlorin UdreaIbraheem HaneefMohtashim MansoorAndrea De LucaSameh A. EisaDennis S. Bernstein
- Cited by
- Aerospace EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (1 paper)Sensors (1 paper)Sensors and Actuators A Physical (1 paper)
- Partner nations
- PakistanUnited StatesUnited Kingdom
In The Last Decade
Suhail Akhtar
33 papers receiving 582 citations
Peers
Comparison fields: 5 of 77
- Aerospace Engineering 243
- Control and Systems Engineering 132
- Computer Vision and Pattern Recognition 112
- Artificial Intelligence 115
- Computational Theory and Mathematics 55
Countries citing papers authored by Suhail Akhtar
This map shows the geographic impact of Suhail Akhtar'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 Suhail Akhtar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhail Akhtar more than expected).
Fields of papers citing papers by Suhail Akhtar
This network shows the impact of papers produced by Suhail Akhtar. 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 Suhail Akhtar. The network helps show where Suhail Akhtar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suhail Akhtar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 30 | |
| 5 | 2019 | 31 | |
| 6 | 2018 | 67 | |
| 7 | 2017 | 5 | |
| 8 | 2017 | 9 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 31 | |
| 11 | 2016 | 26 | |
| 12 | 2016 | 3 | |
| 13 | 2015 | 123 | |
| 14 | 2014 | 20 | |
| 15 | 2014 | 1 | |
| 16 | 2012 | 24 | |
| 17 | 2010 | 1 | |
| 18 | 2007 | 0 | |
| 19 | 2003 | 15 | |
| 20 | 2003 | 3 |
About Suhail Akhtar
Suhail Akhtar is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computational Theory and Mathematics, having authored 35 papers that have together received 615 indexed citations. Recurring topics across this work include Aerospace and Aviation Technology (13 papers), Guidance and Control Systems (10 papers), Adaptive Control of Nonlinear Systems (6 papers), Aerospace Engineering and Control Systems (6 papers), Aerospace Engineering and Energy Systems (4 papers), Adaptive Dynamic Programming Control (4 papers), Inertial Sensor and Navigation (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Aerospace Engineering (243 citations), Control and Systems Engineering (132 citations) and Computer Vision and Pattern Recognition (112 citations). Suhail Akhtar has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Imran Mir, Adnan Maqsood, Florin Udrea, Ibraheem Haneef, Mohtashim Mansoor, Andrea De Luca, Sameh A. Eisa, Dennis S. Bernstein, Mobeen Ur Rehman and Ravinder Venugopal. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Sensors and Actuators A Physical.
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.