Heba Ismail

736 total citations · 1 hit paper
37 papers, 435 citations indexed

About

Heba Ismail is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Heba Ismail has authored 37 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Science Applications, 11 papers in Artificial Intelligence and 10 papers in Developmental and Educational Psychology. Recurrent topics in Heba Ismail's work include Online Learning and Analytics (7 papers), Sentiment Analysis and Opinion Mining (7 papers) and Open Education and E-Learning (5 papers). Heba Ismail is often cited by papers focused on Online Learning and Analytics (7 papers), Sentiment Analysis and Opinion Mining (7 papers) and Open Education and E-Learning (5 papers). Heba Ismail collaborates with scholars based in United Arab Emirates, Saudi Arabia and United States. Heba Ismail's co-authors include Mohamed Adel Serhani, Hadeel T. El Kassabi, Alramzana Nujum Navaz, Boumediene Belkhouche, Saad Harous, Nabeel Al-Qirim, Nazar Zaki, Ashraf Khalil, Adel Khelifi and Ahmed Alhammadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Heba Ismail

33 papers receiving 413 citations

Hit Papers

ECG Monitoring Systems: Review, Architecture, Processes, ... 2020 2026 2022 2024 2020 50 100 150 200
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.

  1. ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges
    2020 210 citations Mohamed Adel Serhani, Hadeel T. El Kassabi et al. Sensors profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heba Ismail United Arab Emirates 9 141 124 107 70 66 37 435
Ana Madevska Bogdanova North Macedonia 8 138 1.0× 168 1.4× 29 0.3× 28 0.4× 34 0.5× 37 307
Hamed Monkaresi Australia 7 134 1.0× 144 1.2× 78 0.7× 141 2.0× 10 0.2× 12 446
Ravinder Ahuja India 12 35 0.2× 39 0.3× 246 2.3× 23 0.3× 91 1.4× 22 536
Hillol Sarker United States 8 32 0.2× 39 0.3× 46 0.4× 37 0.5× 45 0.7× 15 416
João Palotti Austria 12 31 0.2× 83 0.7× 148 1.4× 143 2.0× 67 1.0× 32 599
Francisco de Arriba-Pérez Spain 11 22 0.2× 65 0.5× 118 1.1× 28 0.4× 41 0.6× 38 392
Stanisław Saganowski Poland 11 62 0.4× 45 0.4× 161 1.5× 121 1.7× 20 0.3× 28 573
Jakub Kužílek Czechia 12 97 0.7× 43 0.3× 208 1.9× 75 1.1× 69 1.0× 27 607
Viola Schiaffonati Italy 10 24 0.2× 44 0.4× 63 0.6× 43 0.6× 26 0.4× 43 395
Jesús Bermúdez Spain 9 18 0.1× 63 0.5× 84 0.8× 24 0.3× 54 0.8× 27 324

Countries citing papers authored by Heba Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Heba Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heba Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Heba Ismail. A scholar is included among the top collaborators of Heba Ismail 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 Heba Ismail. Heba Ismail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ismail, Heba, et al.. (2025). Enhancing online toxicity detection on gaming networks: a novel embeddings-based valence lexicon approach. International Journal of Data Science and Analytics. 20(5). 4489–4500.
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Ismail, Heba, et al.. (2024). A novel approach to sustainable behavior enhancement through AI-driven carbon footprint assessment and real-time analytics. SHILAP Revista de lepidopterología. 5(1). 3 indexed citations
5.
Serhani, Mohamed Adel, Heba Ismail, Hadeel T. El Kassabi, & Hamda Al Breiki. (2024). Enhancing arrhythmia prediction through an adaptive deep reinforcement learning framework for ECG signal analysis. Biomedical Signal Processing and Control. 101. 107155–107155. 1 indexed citations
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Ismail, Heba, et al.. (2023). RL-ECGNet: resource-aware multi-class detection of arrhythmia through reinforcement learning. Applied Intelligence. 53(24). 30927–30939. 7 indexed citations
8.
Ismail, Heba, et al.. (2023). Aspect-based classification of vaccine misinformation: a spatiotemporal analysis using Twitter chatter. BMC Public Health. 23(1). 1193–1193. 3 indexed citations
9.
Ismail, Heba, et al.. (2023). Survey of Personalized Learning Software Systems: A Taxonomy of Environments, Learning Content, and User Models. Education Sciences. 13(7). 741–741. 10 indexed citations
10.
Zaki, Nazar, et al.. (2022). Detecting Emotions behind the Screen. SHILAP Revista de lepidopterología. 3(4). 948–960. 4 indexed citations
11.
Ismail, Heba, et al.. (2022). Machine Learning-based Water Potability Prediction. 1–6. 8 indexed citations
12.
Ismail, Heba, et al.. (2022). Triggers and Tweets: Implicit Aspect-Based Sentiment and Emotion Analysis of Community Chatter Relevant to Education Post-COVID-19. Big Data and Cognitive Computing. 6(3). 99–99. 12 indexed citations
13.
Navaz, Alramzana Nujum, Mohamed Adel Serhani, Hadeel T. El Kassabi, Nabeel Al-Qirim, & Heba Ismail. (2021). Trends, Technologies, and Key Challenges in Smart and Connected Healthcare. IEEE Access. 9. 74044–74067. 44 indexed citations
14.
Alzahrani, Ahmed Ibrahim, et al.. (2021). Effectiveness of Botulinum Toxin in Managing Temporomandibular Disorders: A Systematic Review. 1(1). 7–15. 1 indexed citations
15.
Serhani, Mohamed Adel, Hadeel T. El Kassabi, Heba Ismail, & Alramzana Nujum Navaz. (2020). ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges. Sensors. 20(6). 1796–1796. 210 indexed citations breakdown →
16.
Ismail, Heba & Boumediene Belkhouche. (2019). Evaluating the Impact of Personalized Content Recommendations on Informal Learning from Wikipedia. 15. 943–952. 5 indexed citations
17.
Belkhouche, Boumediene, et al.. (2019). A Model to Support Outside Classroom Learning. 4. 1069–1078. 2 indexed citations
18.
Ismail, Heba, Boumediene Belkhouche, & Nazar Zaki. (2018). Semantic Twitter sentiment analysis based on a fuzzy thesaurus. Soft Computing. 22(18). 6011–6024. 16 indexed citations
19.
Ismail, Heba & Boumediene Belkhouche. (2018). A Reusable Software Architecture for Personalized Learning Systems. 105–110.
20.
Ismail, Heba, Saad Harous, & Boumediene Belkhouche. (2016). Review of personalized language learning systems. 1–6. 12 indexed citations

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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