Maaz Bin Ahmad

58 total papers · 919 total citations
42 papers, 476 citations indexed

About

Maaz Bin Ahmad is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Maaz Bin Ahmad has authored 42 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Maaz Bin Ahmad's work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (4 papers) and Blockchain Technology Applications and Security (3 papers). Maaz Bin Ahmad is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (4 papers) and Blockchain Technology Applications and Security (3 papers). Maaz Bin Ahmad collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Maaz Bin Ahmad's co-authors include Muhammad Asif, Toqeer Mahmood, Khalid Masood, Muhammad Tariq Mahmood, Muhammad Khalid Khan, Ik Hyun Lee, Mohammed A. Al Ghamdi, Sultan H. Almotiri, Zeeshan Aziz and Adnan Khalid and has published in prestigious journals such as IEEE Access, Sensors and RSC Advances.

In The Last Decade

Maaz Bin Ahmad

37 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Maaz Bin Ahmad	147	128	111	95	71	42	476
Su Yang	101 0.7×	122 1.0×	86 0.8×	121 1.3×	42 0.6×	36	465
Adil O. Khadidos	73 0.5×	177 1.4×	133 1.2×	142 1.5×	60 0.8×	62	533
María J. Santofimia	116 0.8×	95 0.7×	39 0.4×	80 0.8×	48 0.7×	45	411
Hideyuki Nakashima	159 1.1×	109 0.9×	60 0.5×	157 1.7×	30 0.4×	50	552
Tarek M. Mahmoud	140 1.0×	117 0.9×	69 0.6×	198 2.1×	48 0.7×	37	522
Ahmed Ben Said	71 0.5×	64 0.5×	100 0.9×	86 0.9×	33 0.5×	32	476
Syed Hasan Adil	74 0.5×	65 0.5×	63 0.6×	70 0.7×	36 0.5×	53	438
Sanam Shahla Rizvi	46 0.3×	163 1.3×	85 0.8×	108 1.1×	45 0.6×	49	496
Madhushi Verma	94 0.6×	120 0.9×	41 0.4×	100 1.1×	39 0.5×	39	434
John J. Prevost	99 0.7×	196 1.5×	175 1.6×	104 1.1×	27 0.4×	34	472

Countries citing papers authored by Maaz Bin Ahmad

Since Specialization

Citations

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

Fields of papers citing papers by Maaz Bin Ahmad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaz Bin Ahmad. 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 Maaz Bin Ahmad. The network helps show where Maaz Bin Ahmad may publish in the future.

Co-authorship network of co-authors of Maaz Bin Ahmad

This figure shows the co-authorship network connecting the top 25 collaborators of Maaz Bin Ahmad. A scholar is included among the top collaborators of Maaz Bin Ahmad 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 Maaz Bin Ahmad. Maaz Bin Ahmad 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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