Muhammad Ikram Ashraf

1.1k total citations
40 papers, 753 citations indexed

About

Muhammad Ikram Ashraf is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Muhammad Ikram Ashraf has authored 40 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 17 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Muhammad Ikram Ashraf's work include Advanced MIMO Systems Optimization (18 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Power Line Communications and Noise (5 papers). Muhammad Ikram Ashraf is often cited by papers focused on Advanced MIMO Systems Optimization (18 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Power Line Communications and Noise (5 papers). Muhammad Ikram Ashraf collaborates with scholars based in Finland, United Kingdom and United States. Muhammad Ikram Ashraf's co-authors include Mehdi Bennis, Walid Saad, Mikael Gidlund, Aamir Mahmood, Mudassar Ali, Saad Qaisar, Shahid Mumtaz, Jonathan Rodrı́guez, Chen–Feng Liu and Cristina Perfecto and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Muhammad Ikram Ashraf

40 papers receiving 734 citations

Peers

Muhammad Ikram Ashraf

EEE

CNC

Mustafa Maad Hamdi Iraq

Jesús Villadangos Spain

Shuja Ansari United Kingdom

Junhui Zhao China

Abbas Bradai France

Giovanni Nardini Italy

Miguel Luís Portugal

Zongjian He China

Yasir Mehmood Germany

Mustafa Maad Hamdi Iraq

Muhammad Ikram Ashraf

545 ×1.0

EEE

477 ×1.2

CNC

95 ×1.1

87 ×1.1

73 ×1.4

Citations per year, relative to Muhammad Ikram Ashraf Muhammad Ikram Ashraf (= 1×) peers Mustafa Maad Hamdi

Countries citing papers authored by Muhammad Ikram Ashraf

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Ikram Ashraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Ikram Ashraf. 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 Muhammad Ikram Ashraf. The network helps show where Muhammad Ikram Ashraf may publish in the future.

Co-authorship network of co-authors of Muhammad Ikram Ashraf

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

All Works

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20 of 20 papers shown

Bhatti, Muhammad Tousif, Hammad Gilani, Muhammad Ikram Ashraf, Muhammad Shahid Iqbal, & Sarfraz Munir. (2024). Field validation of NDVI to identify crop phenological signatures. Precision Agriculture. 25(5). 2245–2270. 13 indexed citations

Ashraf, Muhammad Ikram, et al.. (2024). Optimizing Signal Detection in MIMO Systems: AI vs Approximate and Linear Detectors. IEEE Communications Letters. 28(10). 2387–2391. 3 indexed citations

Rafferty, Joseph, et al.. (2024). Artificial intelligence-enhanced signal detection technique for beyond fifth generation networks. Computers & Electrical Engineering. 119. 109608–109608. 2 indexed citations

Ashraf, Muhammad Ikram, et al.. (2024). AIDETECT2: A Novel AI-Driven Signal Detection Approach for beyond 5G and 6G Wireless Networks. Electronics. 13(19). 3821–3821. 3 indexed citations

Rafferty, Joseph, et al.. (2024). Optimizing MIMO Detection with DM-Detnet in 6G Networks. Ulster University Research Portal (Ulster University). 1–6. 1 indexed citations

Mahmood, Aamir, et al.. (2024). Indoor Positioning in 5G-Advanced: Challenges and Solution Toward Centimeter-Level Accuracy with Carrier Phase Enhancements. IEEE Wireless Communications. 31(4). 268–275. 17 indexed citations

Zeb, Shah, et al.. (2022). Interference Mitigation in RIS-assisted 6G Systems for Indoor Industrial IoT Networks. 211–215. 11 indexed citations

Mumtaz, Shahid, Abbas Jamalipour, Haris Gacanin, et al.. (2019). Licensed and Unlicensed Spectrum for Future 5G/B5G Wireless Networks. IEEE Network. 33(4). 6–8. 13 indexed citations

Ashraf, Muhammad Ikram. (2019). Radio resource management in device-to-device and vehicle-to-vehicle communication in 5G networks and beyond. 1 indexed citations

10.

Mahmood, Aamir, Muhammad Ikram Ashraf, Mikael Gidlund, & Johan Torsner. (2018). Over-the-Air Time Synchronization for URLLC: Requirements, Challenges and Possible Enablers. 1–6. 35 indexed citations

11.

Ashraf, Muhammad Ikram, Chen–Feng Liu, Mehdi Bennis, Walid Saad, & Choong Seon Hong. (2018). Dynamic Resource Allocation for Optimized Latency and Reliability in Vehicular Networks. IEEE Access. 6. 63843–63858. 43 indexed citations

12.

Ashraf, Muhammad Ikram, Chen–Feng Liu, Mehdi Bennis, & Walid Saad. (2017). Towards low-latency and ultra-reliable vehicle-to-vehicle communication. University of Oulu Repository (University of Oulu). 57 indexed citations

13.

Perfecto, Cristina, Javier Del Ser, Muhammad Ikram Ashraf, Miren Nekane Bilbao, & Mehdi Bennis. (2016). Beamwidth Optimization in Millimeter Wave Small Cell Networks with Relay Nodes: A Swarm Intelligence Approach. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–6. 6 indexed citations

14.

Ashraf, Muhammad Ikram, Mehdi Bennis, Cristina Perfecto, & Walid Saad. (2016). Dynamic Proximity-Aware Resource Allocation in Vehicle-to-Vehicle (V2V) Communications. University of Oulu Repository (University of Oulu). 1–6. 74 indexed citations

15.

Mumtaz, Shahid, et al.. (2015). Self-Organized Energy Efficient Scheduling in LTE-A. 1–5. 1 indexed citations

16.

Ashraf, Muhammad Ikram, Mehdi Bennis, Walid Saad, & Marcos Katz. (2014). Exploring social networks for optimized user association in wireless small cell networks with device-to-device communications. 224–229. 5 indexed citations

17.

Bagheri, Hamidreza, et al.. (2013). Techno-Economic analysis of Visible Light Communications. Research at York St John (York St John University). 1–5. 2 indexed citations

18.

Ashraf, Muhammad Ikram, et al.. (2013). Energy-Efficient Connectivity in Hybrid Radio-Optical Wireless Systems. 1–5. 18 indexed citations

19.

Haroon, Shaikh Saaqib, et al.. (2013). APPLICATION OF EVOLVED EVOLUTIONARY ALGORITHMS FOR THE SOLUTION OF DIFFERENT ASPECTS OF HYDROTHERMAL SCHEDULING â€“ A COMPREHENSIVE OVERVIEW. The Nucleus. 50(2). 99–115. 2 indexed citations

20.

Ashraf, Muhammad Ikram, et al.. (2013). Mobile Cloud based architecture for Device-to-Device (D2D) communication underlying cellular network. 1–3. 10 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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