Murad Khan

39 total papers · 3.8k total citations
33 papers, 2.6k citations indexed

About

Murad Khan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Murad Khan has authored 33 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 11 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Murad Khan's work include IoT and Edge/Fog Computing (16 papers), IoT-based Smart Home Systems (5 papers) and Smart Cities and Technologies (5 papers). Murad Khan is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), IoT-based Smart Home Systems (5 papers) and Smart Cities and Technologies (5 papers). Murad Khan collaborates with scholars based in South Korea, Pakistan and Saudi Arabia. Murad Khan's co-authors include Kijun Han, Bhagya Nathali Silva, Sohail Jabbar, Bilal Jan, Haleem Farman, Awais Ahmad, Gwanggil Jeon, Muhammad Talha, Shehzad Khalid and Farhan Ullah and has published in prestigious journals such as IEEE Communications Magazine, IEEE Access and Sensors.

In The Last Decade

Murad Khan

32 papers receiving 2.5k citations

Hit Papers

Towards sustainable smart... 2018 2026 2020 2023 2018 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Murad Khan 869 805 661 493 441 33 2.6k
Bhagya Nathali Silva 693 0.8× 757 0.9× 667 1.0× 451 0.9× 399 0.9× 44 2.1k
M. Mazhar Rathore 1.1k 1.3× 472 0.6× 430 0.7× 350 0.7× 378 0.9× 64 3.0k
Kijun Han 1.8k 2.1× 817 1.0× 1.1k 1.7× 477 1.0× 430 1.0× 128 3.5k
Rashid Mehmood 1.1k 1.3× 523 0.6× 590 0.9× 570 1.2× 501 1.1× 140 3.9k
Nader Mohamed 1.7k 2.0× 444 0.6× 557 0.8× 247 0.5× 247 0.6× 120 3.7k
Haruna Chiroma 785 0.9× 408 0.5× 495 0.7× 292 0.6× 202 0.5× 131 3.6k
Angelo Castellani 2.9k 3.3× 593 0.7× 2.1k 3.1× 343 0.7× 397 0.9× 17 5.0k
Mónica Wachowicz 360 0.4× 797 1.0× 160 0.2× 941 1.9× 325 0.7× 90 2.4k
Nicola Bui 3.0k 3.4× 602 0.7× 2.3k 3.5× 392 0.8× 408 0.9× 52 5.3k
Anand Paul 1.8k 2.0× 521 0.6× 962 1.5× 382 0.8× 471 1.1× 167 4.7k

Countries citing papers authored by Murad Khan

Since Specialization
Citations

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

Fields of papers citing papers by Murad Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murad Khan

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

All Works

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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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