Rania Kora

1.4k citations
7 papers · 835 · 1 hit paper · h-index 5

Impact in

    • Sentiment Analysis and Opinion Mining
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Anomaly Detection Techniques and Applications
    • AI in cancer detection

Papers in

    • Topic Modeling 5
    • Sentiment Analysis and Opinion Mining 4
    • Advanced Text Analysis Techniques 3
    • Text and Document Classification Technologies 2
    • Machine Learning and Data Classification 2
    • Data Stream Mining Techniques 1
    • Anomaly Detection Techniques and Applications 1

Rania Kora

7 papers receiving 814 citations

Rania Kora's Hit Papers

A comprehensive review on ensemble deep learning: Opportunities and challenges 2023 · 590 citations
5900+1+2Years since publication100200300400500

Peers

Rania Kora
Comparison fields: 5 of 139
  • Artificial Intelligence 330
  • Health Information Management 31
  • Signal Processing 43
  • Computer Vision and Pattern Recognition 79
  • Environmental Engineering 50
Replace Dharmender Kumar with:
Dharmender Kumar India
Ekaba Bisong United States
Alawi Alqushaibi Malaysia
Md. Sakib Bin Alam Bangladesh
Samah Alshathri Saudi Arabia
Shamila Nasreen Pakistan
Kun Zhao China
Iwan Syarif Indonesia
Zhenyun Deng China
En Fan China
Rania Kora relative to Dharmender Kumar India Dharmender Kumar's profile →
Citations per field
00.5×4.6×
Dharmender Kumar · 1×
Citations per year

Countries citing papers authored by Rania Kora

Since Specialization
Citations

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

Fields of papers citing papers by Rania Kora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Rania Kora, 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 Rania Kora Line = papers co-authored together Rania Kora links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
A comprehensive review on ensemble deep learning: Opportunities and challenges
Hit paper breakdown →
2023590
2 2021103
3 201990
4 202334
5 202312
6 20254
7 20232

About Rania Kora

Rania Kora is a scholar working on Artificial Intelligence, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 7 papers that have together received 835 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (3 papers), Text and Document Classification Technologies (2 papers), Machine Learning and Data Classification (2 papers), Data Stream Mining Techniques (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (330 citations), Health Information Management (31 citations), Signal Processing (43 citations), Computer Vision and Pattern Recognition (79 citations) and Environmental Engineering (50 citations). Rania Kora has collaborated with scholars based in Egypt and Saudi Arabia. Frequent co-authors include Ammar Mohammed. Their work appears in journals such as Social Network Analysis and Mining, Journal of King Saud University - Computer and Information Sciences and IEEE Access.

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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