Walaa Medhat

3.8k total citations · 2 hit papers
41 papers, 2.3k citations indexed

About

Walaa Medhat is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Walaa Medhat has authored 41 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 12 papers in Information Systems and 6 papers in Software. Recurrent topics in Walaa Medhat's work include Advanced Text Analysis Techniques (14 papers), Sentiment Analysis and Opinion Mining (13 papers) and Topic Modeling (9 papers). Walaa Medhat is often cited by papers focused on Advanced Text Analysis Techniques (14 papers), Sentiment Analysis and Opinion Mining (13 papers) and Topic Modeling (9 papers). Walaa Medhat collaborates with scholars based in Egypt, United States and Austria. Walaa Medhat's co-authors include Ahmed H. Yousef, Hoda K. Mohamed, Sahar F. Sabbeh, Khaled M. Fouad, Hala H. Zayed, Amr Awad Ibrahim, M. Z. Rashad, Nashwa Abdelbaki, Mohamed Rady and Passent Elkafrawy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Ain Shams Engineering Journal.

In The Last Decade

Walaa Medhat

33 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sentiment analysis algorithms and applications: A survey

2014 2.0k citations Walaa Medhat, Ahmed H. Yousef et al. Ain Shams Engineering Journal profile →
Topic modeling algorithms and applications: A survey

2022 121 citations Walaa Medhat, Ahmed H. Yousef et al. Information Systems profile →

Peers

Walaa Medhat

AI

IS

SPS

MSOR

SP

Kimberly Voll Canada

Yunqing Xia China

Tetsuya Nasukawa Japan

Eugenio Martínez‐Cámara Spain

Fei Liu China

Naif Radi Aljohani Saudi Arabia

Jianshan Sun China

Alessandro Bozzon Netherlands

Hamed Jelodar China

Marco de Gemmis Italy

Kimberly Voll Canada

Walaa Medhat

1.9k ×1.1

AI

434 ×0.7

IS

364 ×0.8

SPS

121 ×0.6

MSOR

132 ×1.0

SP

Citations per year, relative to Walaa Medhat Walaa Medhat (= 1×) peers Kimberly Voll

Countries citing papers authored by Walaa Medhat

Since Specialization

Citations

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

Fields of papers citing papers by Walaa Medhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walaa Medhat

This figure shows the co-authorship network connecting the top 25 collaborators of Walaa Medhat. A scholar is included among the top collaborators of Walaa Medhat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Walaa Medhat. Walaa Medhat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Foad, M.A., et al.. (2024). Text Correction for Modern Standard Arabic. Procedia Computer Science. 244. 371–377.

2.

Mohamed, Hoda K., et al.. (2024). A predictive analytics framework for sensor data using time series and deep learning techniques. Neural Computing and Applications. 36(11). 6119–6132. 13 indexed citations

3.

Medhat, Walaa, et al.. (2024). Evaluating Large Language Models for Arabic Sentiment Analysis: A Comparative Study Using Retrieval-Augmented Generation. Procedia Computer Science. 244. 363–370.

4.

Yousef, Ahmed H., et al.. (2024). Trans-Compiler-Based Conversion from Cross-Platform Applications to Native Applications. 8(4). 1–29. 2 indexed citations

5.

Salem, Abdel-Badeeh M., et al.. (2024). Exploring State-of-the-Art Models in Arabic NLP: Insights into Multi-Label Text Classification. 533–538.

6.

Mohamed, Kareem, et al.. (2024). Hands-on analysis of using large language models for the auto evaluation of programming assignments. Information Systems. 128. 102473–102473. 3 indexed citations

7.

Zayed, Hala H., et al.. (2024). A-MASA: Arabic Multi-Domain Aspect-Based Sentiment Analysis Datasets. Procedia Computer Science. 244. 202–211.

8.

Mohamed, Kareem, et al.. (2024). BeGrading: large language models for enhanced feedback in programming education. Neural Computing and Applications. 37(2). 1027–1040. 2 indexed citations

9.

Yousef, Ahmed H., et al.. (2024). Arabic sarcasm detection: An enhanced fine-tuned language model approach. Ain Shams Engineering Journal. 15(6). 102736–102736. 12 indexed citations

10.

Mohamed, Hoda K., et al.. (2023). Big data analytics deep learning techniques and applications: A survey. Information Systems. 120. 102318–102318. 30 indexed citations

11.

Medhat, Walaa, et al.. (2022). Topic modeling algorithms and applications: A survey. Information Systems. 112. 102131–102131. 121 indexed citations breakdown →

12.

Medhat, Walaa, et al.. (2022). Sentiment Analysis: Amazon Electronics Reviews Using BERT and Textblob. 6–10. 7 indexed citations

13.

Medhat, Walaa, et al.. (2022). Smart Customer Care: Scraping Social Media to Predict Customer Satisfaction in Egypt Using Machine Learning Models. 27–34. 1 indexed citations

14.

Medhat, Walaa, et al.. (2021). An Approach for Modelling Big Data and Creation of New Values. International Journal of Sociotechnology and Knowledge Development. 13(4). 66–81.

15.

Rady, Mohamed, et al.. (2021). Diabetes Prediction Using Machine Learning: A Comparative Study. 279–282. 6 indexed citations

16.

Medhat, Walaa, et al.. (2019). BENHA@IDAT: Improving Irony Detection in Arabic Tweets using Ensemble Approach.. 401–408. 8 indexed citations

17.

Medhat, Walaa, et al.. (2019). An Iterative Hybrid Agile Methodology for Developing Archiving Systems. International Journal of Software Engineering & Applications. 10(1). 17–36. 1 indexed citations

18.

Medhat, Walaa, et al.. (2018). An Iterative Hybrid Agile Methodology for Developing Archiving Systems. International Journal of Software Engineering and Its Applications. 12(4). 1–18. 1 indexed citations

19.

Medhat, Walaa, Khaled M. Fouad, Ahmed H. Yousef, & Ibrahim F. Moawad. (2017). An Arabic semantic search engine for large governmental organization. 2. 564–570. 1 indexed citations

20.

Medhat, Walaa, et al.. (2014). Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal. 5(4). 1093–1113. 1968 indexed citations breakdown →

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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