Muhammad Ali Naeem

39 total papers · 809 total citations
29 papers, 569 citations indexed

About

Muhammad Ali Naeem is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Muhammad Ali Naeem has authored 29 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 5 papers in Electrical and Electronic Engineering and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Muhammad Ali Naeem's work include Caching and Content Delivery (22 papers), Opportunistic and Delay-Tolerant Networks (18 papers) and Cooperative Communication and Network Coding (11 papers). Muhammad Ali Naeem is often cited by papers focused on Caching and Content Delivery (22 papers), Opportunistic and Delay-Tolerant Networks (18 papers) and Cooperative Communication and Network Coding (11 papers). Muhammad Ali Naeem collaborates with scholars based in China, South Korea and Malaysia. Muhammad Ali Naeem's co-authors include Rashid Ali, Byung-Seo Kim, Yahui Meng, Rehmat Ullah, Suhaidi Hassan, Muhammad Atif Ur Rehman, Korhan Cengiz, Tahir Khurshaid, Tu N. Nguyen and Yousaf Bin Zikria and has published in prestigious journals such as PLoS ONE, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Muhammad Ali Naeem

28 papers receiving 537 citations

Author Peers

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

Author Last Decade Papers Cites
Muhammad Ali Naeem 494 124 54 44 41 29 569
Ravishankar Ravindran 581 1.2× 124 1.0× 49 0.9× 70 1.6× 42 1.0× 57 680
Kideok Cho 499 1.0× 118 1.0× 36 0.7× 78 1.8× 30 0.7× 18 546
José Quevedo 446 0.9× 89 0.7× 63 1.2× 22 0.5× 41 1.0× 32 512
Syed Obaid Amin 575 1.2× 103 0.8× 31 0.6× 50 1.1× 56 1.4× 37 650
Jihua Zhou 224 0.5× 354 2.9× 50 0.9× 30 0.7× 59 1.4× 47 557
Yingdi Yu 597 1.2× 94 0.8× 52 1.0× 63 1.4× 88 2.1× 18 631
Xiangqian Chen 395 0.8× 77 0.6× 24 0.4× 18 0.4× 88 2.1× 27 588
Hakima Khelifi 529 1.1× 248 2.0× 77 1.4× 59 1.3× 80 2.0× 15 621
Jianyuan Lu 511 1.0× 65 0.5× 61 1.1× 98 2.2× 108 2.6× 41 565
Mostafa Dehghan 496 1.0× 165 1.3× 39 0.7× 37 0.8× 23 0.6× 21 523

Countries citing papers authored by Muhammad Ali Naeem

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ali Naeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ali Naeem

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ali Naeem. A scholar is included among the top collaborators of Muhammad Ali Naeem 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 Ali Naeem. Muhammad Ali Naeem 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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