Soumaya Yacout

2.3k citations
99 papers · 1.7k indexed · 1 hit paper · h-index 23

Soumaya Yacout

96 papers receiving 1.6k citations

Hit Papers

Bidirectional handshaking LSTM for remaining useful life ...207201820262020202350100150200

Peers

Soumaya Yacout
Comparison fields: 5 of 108
  • Safety, Risk, Reliability and Quality 434
  • Medical Laboratory Technology 62
  • Statistics, Probability and Uncertainty 218
  • Industrial and Manufacturing Engineering 294
  • Software 109
Replace Haiping Zhu with:
Haiping Zhu China
Yifan Zhou China
Ian Jennions United Kingdom
Hongyan Dui China
Andrew Hess United States
Tangbin Xia China
Ershun Pan China
J.B. Bowles United States
Shankar Sankararaman United States
Lin Lin China
Soumaya Yacout relative to Haiping Zhu China Haiping Zhu's profile →
Citations per field
00.5×1.5×1.8×
Haiping Zhu · 1×
Citations per year

Countries citing papers authored by Soumaya Yacout

Since Specialization
Citations

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

Fields of papers citing papers by Soumaya Yacout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20239
2 202314
3 20234
4 20235
5 202114
6 202110
7 20181
8 201810
9 201713
10
Intelligent Data Mining For Automatic Face Recognition
20163
11 20165
12 201627
13 201528
14 20156
15 201417
16 20075
17 200417
18 20031
19 19971
20 19964

About Soumaya Yacout

Soumaya Yacout is a scholar working on Software, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (22 papers), Reliability and Maintenance Optimization (21 papers), Manufacturing Process and Optimization (16 papers), Advanced machining processes and optimization (15 papers), Advanced Statistical Process Monitoring (14 papers), Machine Fault Diagnosis Techniques (11 papers), Software Reliability and Analysis Research (10 papers) and Rough Sets and Fuzzy Logic (9 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (434 citations), Medical Laboratory Technology (62 citations) and Statistics, Probability and Uncertainty (218 citations). Soumaya Yacout has collaborated with scholars based in Canada, Egypt and France. Frequent co-authors include Mohamed-Salah Ouali, Alireza Ghasemi, Ahmed H. Elsheikh, Ahmed Ragab, A. A. Lakis, Marek Balazinski, Foutse Khomh, V. Ebrahimipour, Bernard Clément and Chantal Baril.

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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