Md Monjurul Karim

709 citations
17 papers · 416 indexed · 1 hit paper · h-index 8
Topics
Software-Defined Networks and 5G (6 papers)Blockchain Technology Applications and Security (4 papers)Caching and Content Delivery (3 papers)

In The Last Decade

Md Monjurul Karim

14 papers receiving 403 citations

Hit Papers

AI Agents Meet Blockchain: A Survey on Secure and Scalabl...2025202620254812

Peers

Md Monjurul Karim
Comparison fields: 5 of 48
  • Computer Networks and Communications 349
  • Electrical and Electronic Engineering 120
  • Information Systems 85
  • Artificial Intelligence 60
  • Control and Systems Engineering 29
Replace Mateus Augusto Silva Santos with:
Mateus Augusto Silva Santos Brazil
Andrés J. Gonzalez Norway
Pawani Porambage Finland
Ismail AlQerm Saudi Arabia
Amaury Van Bemten Germany
Chinmaya Kumar Dehury Estonia
Elisa Rojas Spain
Thomas Deiß Spain
Md Monjurul Karim relative to Mateus Augusto Silva Santos Brazil Mateus Augusto Silva Santos's profile →
Citations per field
00.5×3.5×
Mateus Augusto Silva Santos · 1×
Citations per year

Countries citing papers authored by Md Monjurul Karim

Since Specialization
Citations

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

Fields of papers citing papers by Md Monjurul Karim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Monjurul Karim

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 0
3
AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agentsbreakdown →
13
4 1
5 3
6 4
7 17
8 7
9 5
10 5
11 2
12 0
13 11
14 152
15 14
16 77
17 104

About Md Monjurul Karim

Md Monjurul Karim is a scholar working on Computer Networks and Communications, Information Systems and Management Information Systems, having authored 17 papers that have together received 416 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (6 papers), Blockchain Technology Applications and Security (4 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (349 citations), Information Systems (85 citations) and Signal Processing (24 citations). Md Monjurul Karim has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kashif Sharif, Fan Li, Zohaib Latif, Sujit Biswas, Yu Wang, Boubakr Nour, Iqbal Alam, Chang Xu, Liehuang Zhu and Mohsen Guizani. Their work appears in journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.

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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