Muhamad Akrom

737 citations
43 papers · 531 indexed · h-index 13
Topics
Corrosion Behavior and Inhibition (16 papers)Machine Learning in Materials Science (12 papers)Concrete Corrosion and Durability (11 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Surface ScienceOptics Communications
Partner nations
IndonesiaJapanMalaysia

In The Last Decade

Muhamad Akrom

37 papers receiving 498 citations

Peers

Muhamad Akrom
Comparison fields: 5 of 52
  • Materials Chemistry 422
  • Civil and Structural Engineering 145
  • Metals and Alloys 130
  • Artificial Intelligence 95
  • Computational Theory and Mathematics 65
Replace Mohammed Dahmani with:
Mohammed Dahmani Morocco
Henrik Schopmans Germany
Clint van Hoesel Netherlands
Timo Sommer Ireland
Marlen Neubert Germany
Kai-Sheng Chen China
Morgane Rivière United States
Haisheng Wang China
Mustafa Yıldız Türkiye
Gyoung S. Na South Korea
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Citations per field
00.5×7.3×
Mohammed Dahmani · 1×
Citations per year

Countries citing papers authored by Muhamad Akrom

Since Specialization
Citations

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

Fields of papers citing papers by Muhamad Akrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhamad Akrom

This figure shows the co-authorship network connecting the top 25 collaborators of Muhamad Akrom. A scholar is included among the top collaborators of Muhamad Akrom 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 Muhamad Akrom. Muhamad Akrom 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 1
3 0
4 0
5 7
6 12
7 15
8 7
9 2
10 13
11 7
12 2
13 19
14 2
15 27
16 11
17 41
18 81
19 38
20 42

About Muhamad Akrom

Muhamad Akrom is a scholar working on Metals and Alloys, Materials Chemistry and Civil and Structural Engineering, having authored 43 papers that have together received 531 indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (16 papers), Machine Learning in Materials Science (12 papers) and Concrete Corrosion and Durability (11 papers). The work is most often cited by research in Metals and Alloys (130 citations), Materials Chemistry (422 citations) and Civil and Structural Engineering (145 citations). Muhamad Akrom has collaborated with scholars based in Indonesia, Japan and Malaysia. Frequent co-authors include Supriadi Rustad, Hermawan Kresno Dipojono, T. Sutojo, Adhitya Gandaryus Saputro, Guruh Fajar Shidik, Abdul Syukur, Arifin Luthfi Maulana, Ahmad Nuruddin, De Rosal Ignatius Moses Setiadi and Ryo Maezono. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Surface Science and Optics 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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