Anna Mamou

1.0k citations
23 papers · 768 · 1 hit paper · h-index 13

Impact in

Papers in

Anna Mamou

21 papers receiving 755 citations

Anna Mamou's Hit Papers

Introducing stacking machine learning approaches for the prediction of rock deformation 2022 · 132 citations
1320+1+2Years since publication4080120

Peers

Anna Mamou
Comparison fields: 5 of 68
  • Civil and Structural Engineering 498
  • Safety, Risk, Reliability and Quality 150
  • Mechanics of Materials 249
  • Ocean Engineering 144
  • Management, Monitoring, Policy and Law 103
Replace Hunar Farid Hama Ali with:
Hunar Farid Hama Ali Iraq
Xiuzhi Shi China
Anshun Zhang China
Harnedi Maizir Indonesia
Yalong Jiang China
Pengfei Shan China
Ako Daraei Iraq
Sazan Nariman Abdulhamid Iraq
Weixun Yong China
Yu Cai Zhou China
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Citations per field
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Citations per year

Countries citing papers authored by Anna Mamou

Since Specialization
Citations

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

Fields of papers citing papers by Anna Mamou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Introducing stacking machine learning approaches for the prediction of rock deformation
Hit paper breakdown →
2022132
2 202197
3 202293
4 202285
5 202162
6 201753
7 202149
8 202134
9 202232
10 202132
11 202229
12 201721
13 202414
14 201912
15 20188
16 20247
17 20192
18 20202
19 20202
20 20191

About Anna Mamou

Anna Mamou is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality, Ocean Engineering, Mechanics of Materials and Mechanical Engineering, having authored 23 papers that have together received 768 indexed citations. Recurring topics across this work include Rock Mechanics and Modeling (6 papers), Seismic Performance and Analysis (6 papers), Geotechnical Engineering and Underground Structures (6 papers), Geotechnical Engineering and Analysis (5 papers), Geotechnical Engineering and Soil Mechanics (4 papers), Drilling and Well Engineering (4 papers), Railway Engineering and Dynamics (3 papers) and Geotechnical Engineering and Soil Stabilization (3 papers). The work is most often cited by research in Civil and Structural Engineering (498 citations), Safety, Risk, Reliability and Quality (150 citations), Mechanics of Materials (249 citations), Ocean Engineering (144 citations) and Management, Monitoring, Policy and Law (103 citations). Anna Mamou has collaborated with scholars based in Greece, United Kingdom and Vietnam. Frequent co-authors include Panagiotis G. Asteris, Danial Jahed Armaghani, Athanasia D. Skentou, Mohammadreza Koopialipoor, Tien-Thinh Le, Ahmed Salih Mohammed, C.R.I. Clayton, W. Powrie, Jeffrey A. Priest and Dimitrios E. Alexakis. Their work appears in journals such as Transportation Geotechnics, Rock Mechanics and Rock Engineering, Canadian Geotechnical Journal, Géotechnique and Applied Sciences.

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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