Md. Abdul Hamid

1.5k citations
64 papers · 822 indexed · h-index 17
Topics
Mobile Ad Hoc Networks (10 papers)Energy Efficient Wireless Sensor Networks (7 papers)Security in Wireless Sensor Networks (6 papers)

In The Last Decade

Md. Abdul Hamid

60 papers receiving 782 citations

Peers

Md. Abdul Hamid
Comparison fields: 5 of 122
  • Artificial Intelligence 286
  • Computer Networks and Communications 177
  • Information Systems 170
  • Sociology and Political Science 132
  • Computer Vision and Pattern Recognition 97
Replace Muhammad Mostafa Monowar with:
Muhammad Mostafa Monowar Saudi Arabia
Poongodi Manoharan Qatar
Elena Verdú Spain
Sunday Adeola Ajagbe Nigeria
Surbhi Gupta India
Isra Al-Turaiki Saudi Arabia
Deepa Gupta India
Ryan Alturki Saudi Arabia
Souham Meshoul Saudi Arabia
Mandar Gogate United Kingdom
Md. Abdul Hamid relative to Muhammad Mostafa Monowar Saudi Arabia Muhammad Mostafa Monowar's profile →
Citations per field
00.5×1.5×
Muhammad Mostafa Monowar · 1×
Citations per year

Countries citing papers authored by Md. Abdul Hamid

Since Specialization
Citations

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

Fields of papers citing papers by Md. Abdul Hamid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Abdul Hamid

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Abdul Hamid. A scholar is included among the top collaborators of Md. Abdul Hamid 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 Md. Abdul Hamid. Md. Abdul Hamid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 34
3 0
4 19
5 22
6 18
7 2
8 15
9 24
10 36
11
Performance Analysis of Hierarchical and Non Hierarchical Clustering Techniques
1
12 12
13 2
14 1
15 21
16 49
17 7
18 10
19
Characteristic Features of Corporate Advertisements of Bangladeshi Print Media: A Contemporary Analysis
1
20 3

About Md. Abdul Hamid

Md. Abdul Hamid is a scholar working on Computer Networks and Communications, Signal Processing and Health Informatics, having authored 64 papers that have together received 822 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (10 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Security in Wireless Sensor Networks (6 papers). The work is most often cited by research in Artificial Intelligence (286 citations), Signal Processing (87 citations) and Computer Networks and Communications (177 citations). Md. Abdul Hamid has collaborated with scholars based in Bangladesh, Saudi Arabia and South Korea. Frequent co-authors include Muhammad Mostafa Monowar, M. F. Mridha, Abu Quwsar Ohi, Ashfia Jannat Keya, Md. Saifur Rahman, Atif Alamri, M. Abdullah‐Al‐Wadud, Faris Kateb, Mohammad Abu Yousuf and Mohammad Mehedi Hassan. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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