Md. Razaul Karim

10.2k citations
38 papers · 1.1k indexed · 1 hit paper · h-index 17

Md. Razaul Karim

35 papers receiving 1.1k citations

Hit Papers

Accurate brain tumor detection using deep convolutional n...2022202620232024202250100150

Peers

Md. Razaul Karim
Comparison fields: 5 of 135
  • Epidemiology 259
  • Computer Networks and Communications 230
  • Neurology 184
  • Molecular Biology 176
  • Information Systems 171
Replace Xiaofen Wang with:
Xiaofen Wang China
Kun Zhang United States
S. Karthikeyan United States
Vatsala Anand India
Yandong Zheng China
Syed Ahmad Chan Bukhari United States
Yifan Gao China
Ioannis Kavakiotis Greece
Shagun Sharma India
Md. Razaul Karim relative to Xiaofen Wang China Xiaofen Wang's profile →
Citations per field
00.5×1.5×
Xiaofen Wang · 1×
Citations per year

Countries citing papers authored by Md. Razaul Karim

Since Specialization
Citations

This map shows the geographic impact of Md. Razaul 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. Razaul 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. Razaul Karim more than expected).

Fields of papers citing papers by Md. Razaul Karim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Razaul Karim

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Razaul Karim. A scholar is included among the top collaborators of Md. Razaul 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. Razaul Karim. Md. Razaul Karim 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 1
2 16
3 0
4 9
5 6
6 6
7 36
8 12
9
Accurate brain tumor detection using deep convolutional neural networkbreakdown →
181
10 95
11 18
12 85
13 18
14 30
15 46
16 8
17 22
18 108
19 96
20 68

About Md. Razaul Karim

Md. Razaul Karim is a scholar working on Computer Networks and Communications, Human-Computer Interaction and Information Systems, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), IoT and Edge/Fog Computing (9 papers) and Software-Defined Networks and 5G (5 papers). The work is most often cited by research in Health Informatics (31 citations), Neurology (184 citations) and Computer Networks and Communications (230 citations). Md. Razaul Karim has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Motoni Kadowaki, Anichur Rahman, Shahab S. Band, Md. Jahidul Islam, Mostofa Kamal Nasir, Giovanni Miotto, Md. Saikat Islam Khan, Dipanjali Kundu, Amir Mosavi and S Fujimura. Their work appears in journals such as PLoS ONE, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

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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