16 Dec 2025
The Effect of Geopolitical Uncertainty on the Performance of the London Stock Exchange: Evidence from Wavelet AnalysisPublisher siteComputational Economics, Market Dynamics and Volatility
Active, last published 2026
In anomaly detection techniques and applications
Achraf
Yahia
Scholar“Research focused on Anomaly Detection Techniques and Applications and adjacent fields.”
Ibn Tofail University
Morocco
Claim Your ProfileMorocco2
H-index
9
Citations
Achraf has not officially claimed their profile. If you are Achraf, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
chraf Yahia is a researcher working on Anomaly Detection Techniques and Applications. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Achraf's work has been cited 9 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Anomaly Detection Techniques and Applications×4
04 · Where I am
Affiliations
Affiliation on published researchUniversité Ibn-Tofail, MoroccoDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
4 works29 Oct 2025
Exploring the role of Artificial Intelligence in Cryptocurrency Evolution: A Systematic Review and Bibliometric Analysis at the IntersectionPublisher siteJournal of the Knowledge Economy, Blockchain Technology Applications and Security
23 Dec 20245cites
Exploring machine learning-based methods for anomalies detection: evidence from cryptocurrenciesPublisher siteInternational Journal of Data Science and Analytics, Anomaly Detection Techniques and Applications
17 Oct 20244cites
Leveraging Machine Learning for Anomaly Detection Methods in Cryptocurrency: A Data-Driven StudyPublisher siteExpert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Achraf?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you