Marwan Ramli

67 papers receiving 308 citations

Peers

Marwan Ramli
Comparison fields: 5 of 105
  • Modeling and Simulation 32
  • Earth-Surface Processes 25
  • Statistical and Nonlinear Physics 41
  • Applied Mathematics 28
  • Geology 14
Replace Michael R. Cullen with:
Michael R. Cullen United Kingdom
Sapto Wahyu Indratno Indonesia
Mario G. Salvadori United States
Trần Thanh Tùng Vietnam
Muhammad Zaid Dauhoo Mauritius
Mengmeng Liu China
Kangwen Sun China
Bo Qu China
Brian Peacock United States
Marwan Ramli relative to Michael R. Cullen United Kingdom Michael R. Cullen's profile →
Citations per field
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Michael R. Cullen · 1×
Citations per year

Countries citing papers authored by Marwan Ramli

Since Specialization
Citations

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

Fields of papers citing papers by Marwan Ramli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201840
2 202017
3 201715
4 201714
5 202012
6 201910
7 20109
8 20219
9 20198
10 20178
11 20228
12 20208
13 20177
14 20167
15 20177
16 20186
17 20176
18 20186
19 20156
20 20236

About Marwan Ramli

Marwan Ramli is a scholar working on Oceanography, Artificial Intelligence, Information Systems, Applied Mathematics and Education, having authored 80 papers that have together received 321 indexed citations. Recurring topics across this work include Mathematics Education and Pedagogy (10 papers), Nonlinear Waves and Solitons (8 papers), Ocean Waves and Remote Sensing (7 papers), Oceanographic and Atmospheric Processes (7 papers), Nonlinear Photonic Systems (6 papers), Geological and Geophysical Studies (6 papers), Edcuational Technology Systems (5 papers) and Computer Science and Engineering (5 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Earth-Surface Processes (25 citations), Statistical and Nonlinear Physics (41 citations), Applied Mathematics (28 citations) and Geology (14 citations). Marwan Ramli has collaborated with scholars based in Indonesia, Malaysia and Japan. Frequent co-authors include Opim Salim Sitompul, Bansu Irianto Ansari, Said Munzir, J. Alias, Tulus Tulus, Syamsidik Syamsidik, Umar Muksin, Fitri Arnia, Rahmah Johar and Zainal A. Muchlisin. Their work appears in journals such as Progress in Disaster Science, Heliyon, International Journal of Environmental Science and Technology, The Egyptian Journal of Remote Sensing and Space Science and International Journal of Disaster Risk Reduction.

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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