Altyeb Taha

573 citations
9 papers · 356 · 1 hit paper · h-index 6

Impact in

  • Accounting top 10%
    • Financial Distress and Bankruptcy Prediction
    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications

Papers in

Altyeb Taha

8 papers receiving 331 citations

Altyeb Taha's Hit Papers

An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine 2020 · 262 citations
2620+2+4Years since publication50100150200250

Peers

Altyeb Taha
Comparison fields: 5 of 69
  • Accounting 97
  • Artificial Intelligence 244
  • Media Technology 57
  • Health Information Management 27
  • Signal Processing 57
Replace Naif Almusallam with:
Naif Almusallam Saudi Arabia
Asma Cherif Saudi Arabia
Majid Alshammari Saudi Arabia
Arun Prakash Agrawal India
Meenakshi Meenakshi India
Dong-Lin Li Taiwan
Hewijin Christine Jiau Taiwan
Chumphol Bunkhumpornpat Thailand
Krystyna Napierała Poland
Altyeb Taha relative to Naif Almusallam Saudi Arabia Naif Almusallam's profile →
Citations per field
00.5×
Naif Almusallam · 1×
Citations per year

Countries citing papers authored by Altyeb Taha

Since Specialization
Citations

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

Fields of papers citing papers by Altyeb Taha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Altyeb Taha, 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 Altyeb Taha Line = papers co-authored together Altyeb Taha links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About Altyeb Taha

Altyeb Taha is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Health Information Management and Information Systems, having authored 9 papers that have together received 356 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (4 papers), Imbalanced Data Classification Techniques (3 papers), Artificial Intelligence in Healthcare (2 papers), Spam and Phishing Detection (2 papers), Vehicle License Plate Recognition (2 papers), Sentiment Analysis and Opinion Mining (1 paper) and Artificial Immune Systems Applications (1 paper). The work is most often cited by research in Accounting (97 citations), Artificial Intelligence (244 citations), Media Technology (57 citations), Health Information Management (27 citations) and Signal Processing (57 citations). Altyeb Taha has collaborated with scholars based in Saudi Arabia. Frequent co-authors include Sharaf J. Malebary, Omar Barukab, Hani Moaiteq Aljahdali and Ahmed Hamza Osman. Their work appears in journals such as Sustainability, Computers, materials & continua/Computers, materials & continua (Print), Neural Computing and Applications, IEEE Access and Mathematics.

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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