Mohammad Saquib

1.5k citations
108 papers · 990 · h-index 14

Impact in

Papers in

Mohammad Saquib

99 papers receiving 948 citations

Peers

Mohammad Saquib
Comparison fields: 5 of 67
  • Computer Networks and Communications 355
  • Signal Processing 126
  • Artificial Intelligence 328
  • Aerospace Engineering 220
  • Electrical and Electronic Engineering 489
Replace K. Deergha Rao with:
K. Deergha Rao India
Yuan-Hao Huang Taiwan
Mahdi Boloursaz Mashhadi United Kingdom
Jong‐Wha Chong South Korea
Esam Abdel‐Raheem Canada
Michael Muma Germany
A. Paasio Finland
Yuhang Li China
Nguyen Linh Trung Vietnam
Miloš Krstić Germany
Mohammad Saquib relative to K. Deergha Rao India K. Deergha Rao's profile →
Citations per field
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K. Deergha Rao · 1×
Citations per year

Countries citing papers authored by Mohammad Saquib

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Saquib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Saquib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Saquib Line = papers co-authored together Mohammad Saquib links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008268
2 202050
3 201738
4 202036
5 201034
6 199933
7 200232
8 201120
9 199819
10 201315
11 200015
12 200215
13 200915
14 202413
15 201313
16 201813
17 201313
18 202213
19 202212
20 202212

About Mohammad Saquib

Mohammad Saquib is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Biomedical Engineering and Computational Mechanics, having authored 108 papers that have together received 990 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (40 papers), Wireless Communication Networks Research (38 papers), Advanced Wireless Network Optimization (14 papers), Advanced MIMO Systems Optimization (13 papers), Power Line Communications and Noise (13 papers), Radar Systems and Signal Processing (11 papers), Advanced Adaptive Filtering Techniques (9 papers) and IPv6, Mobility, Handover, Networks, Security (8 papers). The work is most often cited by research in Computer Networks and Communications (355 citations), Signal Processing (126 citations), Artificial Intelligence (328 citations), Aerospace Engineering (220 citations) and Electrical and Electronic Engineering (489 citations). Mohammad Saquib has collaborated with scholars based in United States, Bangladesh and Netherlands. Frequent co-authors include Hsiao-Chun Wu, Zhifeng Yun, Roy D. Yates, Shaikh Anowarul Fattah, Tariq Ali, Narayan B. Mandayam, Tanvir Mahmud, Michael Rice, Moe Z. Win and Arne Schumann. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Wireless Communications, IEEE Access, IEEE Transactions on Communications and IEEE Communications Letters.

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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