Md Masuduzzaman

408 citations
31 papers · 244 · h-index 8

Impact in

Papers in

Md Masuduzzaman

23 papers receiving 236 citations

Peers

Md Masuduzzaman
Comparison fields: 5 of 72
  • Information Systems 100
  • Computer Networks and Communications 73
  • Aerospace Engineering 62
  • Computer Vision and Pattern Recognition 45
  • Safety, Risk, Reliability and Quality 15
Replace Kiran Jot Singh with:
Kiran Jot Singh India
S. Kannadhasan India
Georgios Tsoumanis Greece
Mobasshir Mahbub Bangladesh
Andi Dharmawan Indonesia
G. Ramesh India
Muhammad Ilyas Türkiye
Zerina Kapetanovic United States
Doan Perdana Indonesia
Ade Silvia Handayani Indonesia
Md Masuduzzaman relative to Kiran Jot Singh India Kiran Jot Singh's profile →
Citations per field
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Kiran Jot Singh · 1×
Citations per year

Countries citing papers authored by Md Masuduzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Md Masuduzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Md Masuduzzaman, 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 Md Masuduzzaman Line = papers co-authored together Md Masuduzzaman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202165
2 202236
3 201920
4 202017
5 202016
6 202215
7 202013
8 20189
9 20237
10 20237
11 20226
12 20225
13 20245
14 20204
15 20224
16 20203
17 20173
18 20252
19 20182
20 20242

About Md Masuduzzaman

Md Masuduzzaman is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering and Electrical and Electronic Engineering, having authored 31 papers that have together received 244 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), UAV Applications and Optimization (6 papers), IoT and Edge/Fog Computing (6 papers), Advanced Neural Network Applications (4 papers), Fire Detection and Safety Systems (3 papers), Video Surveillance and Tracking Methods (3 papers), Viral Infections and Vectors (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Information Systems (100 citations), Computer Networks and Communications (73 citations), Aerospace Engineering (62 citations), Computer Vision and Pattern Recognition (45 citations) and Safety, Risk, Reliability and Quality (15 citations). Md Masuduzzaman has collaborated with scholars based in South Korea, Bangladesh and Canada. Frequent co-authors include Soo Young Shin, Anik Islam, Tariq Rahim, Md Saef Ullah Miah, Talha Bin Sarwar, Md. Alamgir Hossain, Rajan Jose, Saiful Azad, Shariful Islam and Nur Ibrahim. Their work appears in journals such as IEEE Access, Internet of Things, PeerJ Computer Science, IEEE Wireless Communications and Neurocomputing.

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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