Kamrul Islam

1.6k citations
34 papers · 1.2k indexed · 1 hit paper · h-index 17

Kamrul Islam

32 papers receiving 1.1k citations

Hit Papers

Data-driven shear strength prediction of steel fiber rein...247202120262022202450100150200

Peers

Kamrul Islam
Comparison fields: 5 of 73
  • Building and Construction 773
  • Civil and Structural Engineering 997
  • Orthopedics and Sports Medicine 40
  • Polymers and Plastics 45
  • Safety, Risk, Reliability and Quality 24
Replace Stjepan Lakušić with:
Stjepan Lakušić Croatia
Amar Khennane Australia
Ananth Ramaswamy India
Pierre Rossi France
Abdullah Hilmi Lav Türkiye
Mario Fagone Italy
Dianchao Wang China
Huibing Xie China
José A. Sáinz-Aja Spain
Charis Apostolopoulos Greece
Kamrul Islam relative to Stjepan Lakušić Croatia Stjepan Lakušić's profile →
Citations per field
00.5×7.1×
Stjepan Lakušić · 1×
Citations per year

Countries citing papers authored by Kamrul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Kamrul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20244
5 20242
6 202422
7 202318
8 202369
9 20235
10 20237
11 202334
12 202337
13 20224
14 202151
15
Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approachbreakdown →
2021247
16 202116
17 202114
18 202092
19 201934
20 201312

About Kamrul Islam

Kamrul Islam is a scholar working on Building and Construction, Civil and Structural Engineering and Conservation, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Structural Behavior of Reinforced Concrete (19 papers), Innovative concrete reinforcement materials (13 papers), Recycled Aggregate Concrete Performance (11 papers), Structural Load-Bearing Analysis (8 papers), Structural Engineering and Vibration Analysis (5 papers), Infrastructure Maintenance and Monitoring (5 papers), Concrete Corrosion and Durability (4 papers) and Composite Structure Analysis and Optimization (2 papers). The work is most often cited by research in Building and Construction (773 citations), Civil and Structural Engineering (997 citations) and Orthopedics and Sports Medicine (40 citations). Kamrul Islam has collaborated with scholars based in Canada, Türkiye and Bangladesh. Frequent co-authors include Khondaker Sakil Ahmed, Celal Çakıroğlu, Md. Shahjalal, Jesika Rahman, Sujith Mangalathu, A. H. M. Muntasir Billah, M. Shahria Alam, Nafiz Imtiaz Khan, Fahim Hossain and Gebrai̇l Bekdaş. Their work appears in journals such as Construction and Building Materials, Structures, Engineering Structures, Journal of Building Engineering and Sustainability.

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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