Muhammad Husni

596 total citations
7 papers, 469 citations indexed

About

Muhammad Husni is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Muhammad Husni has authored 7 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Geophysics, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Muhammad Husni's work include Earthquake Detection and Analysis (3 papers), earthquake and tectonic studies (3 papers) and Geophysical and Geoelectrical Methods (2 papers). Muhammad Husni is often cited by papers focused on Earthquake Detection and Analysis (3 papers), earthquake and tectonic studies (3 papers) and Geophysical and Geoelectrical Methods (2 papers). Muhammad Husni collaborates with scholars based in Indonesia, Malaysia and Japan. Muhammad Husni's co-authors include Yan Rizal, Cristián Youlton, Takanobu Kamataki, Marco Cisternas, C. P. Rajendran, Marcelo Lagos, Masanobu Shishikura, Brian F. Atwater, Fernando Torrejón and Yuki Sawai and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Physics and Chemistry of the Earth Parts A/B/C.

In The Last Decade

Muhammad Husni

7 papers receiving 455 citations

Peers

Muhammad Husni
Comparison fields: 5 of 53
  • Geophysics 399
  • Atmospheric Science 219
  • Earth-Surface Processes 97
  • Artificial Intelligence 49
  • Environmental Chemistry 37
Shigeru Yamaki Japan
Gino de Gelder France
Willem Vandoorne Belgium
Breanyn MacInnes United States
Corina Risso Argentina
Tomoo Echigo Japan
Takahiro Yamamoto Japan
Mark R. Legg United States
Tracy Vallier United States
Jeffrey M. Babcock United States
Shigeru Yamaki Japan View profile →
Citations per field, relative to Muhammad Husni
Muhammad Husni · 1×
Citations per year, relative to Muhammad Husni
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Countries citing papers authored by Muhammad Husni

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Husni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Husni

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 3
2 6
3 1
4 1
5 8
6 25
7 425

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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2026