Mohammad Arifuzzaman

1.1k citations
42 papers · 707 · h-index 14

Impact in

Papers in

Mohammad Arifuzzaman

39 papers receiving 675 citations

Peers

Mohammad Arifuzzaman
Comparison fields: 5 of 93
  • Computer Networks and Communications 269
  • Artificial Intelligence 220
  • Genetics 57
  • Information Systems 117
  • Hematology 37
Replace Abdur Rahim with:
Abdur Rahim Italy
Alaa Hamid Mohammed Türkiye
Liqun Yang China
Allah Ditta Pakistan
Ion Bica Romania
Prabhdeep Singh India
Siyu Lu China
Atifa Athar Pakistan
Hongbing Hu China
Christos Ilioudis Greece
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Arifuzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Arifuzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2 201777
3 202270
4 202151
5 201344
6 201444
7 201829
8 202120
9 202019
10 201515
11 202314
12 201514
13 202214
14 201513
15 201411
16 202211
17 201610
18 202110
19 20179
20 20147

About Mohammad Arifuzzaman

Mohammad Arifuzzaman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Signal Processing, having authored 42 papers that have together received 707 indexed citations. Recurring topics across this work include Caching and Content Delivery (13 papers), Energy Efficient Wireless Sensor Networks (11 papers), Mobile Ad Hoc Networks (8 papers), Opportunistic and Delay-Tolerant Networks (7 papers), Energy Harvesting in Wireless Networks (6 papers), Peer-to-Peer Network Technologies (5 papers), Spam and Phishing Detection (5 papers) and Cooperative Communication and Network Coding (4 papers). The work is most often cited by research in Computer Networks and Communications (269 citations), Artificial Intelligence (220 citations), Genetics (57 citations), Information Systems (117 citations) and Hematology (37 citations). Mohammad Arifuzzaman has collaborated with scholars based in Japan, Bangladesh and Canada. Frequent co-authors include Takuro Sato, Keping Yu, M. Rubaiyat Hossain Mondal, Di Zhang, Zheng Wen, Quang Ngọc Nguyễn, Mitsuji Matsumoto, Mohammad Sorowar Hossain, Shameema Ferdous and Hazera Khatun. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Journal of Sensor and Actuator Networks, Array and IEEE Access.

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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