Ali P. Yunus

126 total papers · 7.4k total citations
94 papers, 5.5k citations indexed

About

Ali P. Yunus is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Ecology. According to data from OpenAlex, Ali P. Yunus has authored 94 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 39 papers in Management, Monitoring, Policy and Law and 25 papers in Ecology. Recurrent topics in Ali P. Yunus's work include Landslides and related hazards (39 papers), Flood Risk Assessment and Management (29 papers) and Cryospheric studies and observations (16 papers). Ali P. Yunus is often cited by papers focused on Landslides and related hazards (39 papers), Flood Risk Assessment and Management (29 papers) and Cryospheric studies and observations (16 papers). Ali P. Yunus collaborates with scholars based in China, India and Japan. Ali P. Yunus's co-authors include Jie Dou, Binh Thai Pham, Abdelaziz Merghadi, Ram Avtar, Dieu Tien Bui, Zhongfan Zhu, Yasuaki Hijioka, Yoshifumi Masago, Mehebub Sahana and Chi-Wen Chen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Ali P. Yunus

93 papers receiving 5.3k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

2020 768 citations Abdelaziz Merghadi, Ali P. Yunus et al. Earth-Science Reviews profile →
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

2019 483 citations Jie Dou, Ali P. Yunus et al. The Science of The Total Environment profile →
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

2019 405 citations Jie Dou, Ali P. Yunus et al. Landslides profile →
COVID-19 and surface water quality: Improved lake water quality during the lockdown

2020 373 citations Ali P. Yunus, Yoshifumi Masago et al. The Science of The Total Environment profile →
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

2020 234 citations Jie Dou, Ali P. Yunus et al. The Science of The Total Environment profile →
The formation and impact of landslide dams – State of the art

2020 196 citations Xuanmei Fan, Anja Dufresne et al. Earth-Science Reviews profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ali P. Yunus	3.2k	2.7k	1.3k	708	669	94	5.5k
Luigi Lombardo	2.4k 0.8×	1.9k 0.7×	938 0.7×	708 1.0×	440 0.7×	116	3.7k
Ahmed M. Youssef	2.7k 0.8×	3.1k 1.2×	827 0.7×	1.1k 1.5×	305 0.5×	104	5.1k
Miet Van Den Eeckhaut	3.0k 1.0×	1.8k 0.6×	987 0.8×	442 0.6×	543 0.8×	51	3.9k
Abolfazl Jaafari	2.3k 0.7×	3.5k 1.3×	629 0.5×	1.3k 1.8×	634 0.9×	89	5.4k
Alexander Brenning	2.6k 0.8×	2.5k 0.9×	2.4k 1.9×	949 1.3×	1.1k 1.7×	138	6.3k
Baharin Bin Ahmad	3.2k 1.0×	4.3k 1.6×	1.1k 0.9×	1.8k 2.5×	642 1.0×	84	6.9k
Jean‐Philippe Malet	5.6k 1.8×	2.3k 0.9×	2.1k 1.7×	858 1.2×	737 1.1×	181	7.5k
Omid Ghorbanzadeh	2.5k 0.8×	2.7k 1.0×	741 0.6×	914 1.3×	432 0.6×	79	4.8k
Thomas Glade	4.4k 1.4×	3.5k 1.3×	1.8k 1.4×	300 0.4×	482 0.7×	161	6.6k
Norman Kerle	2.5k 0.8×	2.6k 0.9×	1.6k 1.3×	1.6k 2.3×	1.1k 1.6×	140	7.6k

Countries citing papers authored by Ali P. Yunus

Since Specialization

Citations

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

Fields of papers citing papers by Ali P. Yunus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali P. Yunus. 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 Ali P. Yunus. The network helps show where Ali P. Yunus may publish in the future.

Co-authorship network of co-authors of Ali P. Yunus

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

All Works

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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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