Mohammad Saquib

1.4k citations
107 papers · 929 indexed · h-index 14

Mohammad Saquib

96 papers receiving 885 citations

Peers

Mohammad Saquib
Comparison fields: 5 of 65
  • Computer Networks and Communications 339
  • Signal Processing 121
  • Artificial Intelligence 305
  • Aerospace Engineering 216
  • Electrical and Electronic Engineering 473
Replace K. Deergha Rao with:
K. Deergha Rao India
Zhijin Zhao China
Yuan-Hao Huang Taiwan
Jong‐Wha Chong South Korea
Esam Abdel‐Raheem Canada
Yuhang Li China
Ha Hoang Kha Vietnam
Stefania Colonnese Italy
A. Paasio Finland
Daniel Romero Norway
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-authorship network

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
#Work
1 20244
2 20247
3 20242
4 20240
5 20242
6 20248
7 20241
8 20241
9 20240
10 20236
11 20236
12 20231
13 20231
14 202211
15 202031
16
Performance limits on joint estimation of frequency offset, channel and noise variance in aeronautical telemetry
20151
17
MMSE Equalization for Aeronautical Telemetry Channels
20143
18 20141
19 20082
20 200812

About Mohammad Saquib

Mohammad Saquib is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Signal Processing and Computational Mechanics, having authored 107 papers that have together received 929 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), Power Line Communications and Noise (13 papers), Advanced MIMO Systems Optimization (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 (339 citations), Signal Processing (121 citations), Artificial Intelligence (305 citations), Aerospace Engineering (216 citations) and Electrical and Electronic Engineering (473 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 Transactions on Mobile Computing.

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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