Sherif Barakat

1.1k total citations
44 papers, 659 citations indexed

About

Sherif Barakat is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Sherif Barakat has authored 44 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 10 papers in Molecular Biology and 10 papers in Information Systems. Recurrent topics in Sherif Barakat's work include Semantic Web and Ontologies (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Digital Imaging for Blood Diseases (5 papers). Sherif Barakat is often cited by papers focused on Semantic Web and Ontologies (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Digital Imaging for Blood Diseases (5 papers). Sherif Barakat collaborates with scholars based in Egypt, Spain and South Korea. Sherif Barakat's co-authors include Mohammed Elmogy, Reham R. Mostafa, Ibrahim M. El‐Hasnony, Eman AbdelMaksoud, Amira Rezk, Shaker El–Sappagh, Mohamed Elhoseny, Tamer Abuhmed, Gaetano Marrone and Cecilia Stålsby Lundborg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sherif Barakat

41 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sherif Barakat Egypt 13 225 174 128 106 83 44 659
Tomo Popović Montenegro 17 104 0.5× 138 0.8× 28 0.2× 86 0.8× 137 1.7× 78 997
Roseline Oluwaseun Ogundokun Nigeria 16 315 1.4× 163 0.9× 30 0.2× 131 1.2× 143 1.7× 99 836
M. Srinivas India 12 156 0.7× 114 0.7× 46 0.4× 45 0.4× 45 0.5× 48 438
Hock Guan Goh Malaysia 16 147 0.7× 102 0.6× 92 0.7× 63 0.6× 71 0.9× 45 769
Anuj Kumar Jain India 16 125 0.6× 63 0.4× 25 0.2× 77 0.7× 147 1.8× 87 806
Indrajeet Kumar India 11 195 0.9× 154 0.9× 34 0.3× 112 1.1× 21 0.3× 59 569
Manas Ranjan Prusty India 12 145 0.6× 96 0.6× 23 0.2× 58 0.5× 24 0.3× 32 458
Adel Sulaiman Saudi Arabia 16 243 1.1× 111 0.6× 89 0.7× 108 1.0× 134 1.6× 59 750
Ravi Tomar India 12 103 0.5× 81 0.5× 40 0.3× 126 1.2× 136 1.6× 58 550
Madallah Alruwaili Saudi Arabia 19 326 1.4× 204 1.2× 29 0.2× 179 1.7× 105 1.3× 57 973

Countries citing papers authored by Sherif Barakat

Since Specialization
Citations

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

Fields of papers citing papers by Sherif Barakat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherif Barakat

This figure shows the co-authorship network connecting the top 25 collaborators of Sherif Barakat. A scholar is included among the top collaborators of Sherif Barakat 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 Sherif Barakat. Sherif Barakat 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.
Salah, Khaled, Sherif Barakat, & Amira Rezk. (2025). An effective SQL injection detection model using LSTM for imbalanced datasets. Computers & Security. 153. 104391–104391. 1 indexed citations
2.
Barakat, Sherif, et al.. (2025). Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach. Expert Systems with Applications. 290. 128465–128465. 1 indexed citations
3.
Barakat, Sherif, et al.. (2024). Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches. Journal of Retailing and Consumer Services. 79. 103865–103865. 22 indexed citations
4.
Barakat, Sherif, et al.. (2024). Empowering white shark optimizer for dimensionality reduction with case study of apple disease prediction. Neural Computing and Applications. 37(27). 22421–22449. 2 indexed citations
5.
Barakat, Sherif, et al.. (2023). A generalized ensemble approach based on transfer learning for Braille character recognition. Information Processing & Management. 61(1). 103545–103545. 10 indexed citations
6.
Barakat, Sherif, et al.. (2022). A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks. Scientific Reports. 12(1). 16271–16271. 15 indexed citations
7.
Barakat, Sherif, et al.. (2022). An Effective Ensemble-based Framework for Outlier Detection in Evolving Data Streams. International Journal of Advanced Computer Science and Applications. 13(11). 1 indexed citations
8.
AbdelMaksoud, Eman, Sherif Barakat, & Mohammed Elmogy. (2022). A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique. Medical & Biological Engineering & Computing. 60(7). 2015–2038. 58 indexed citations
9.
AbdelMaksoud, Eman, Shaker El–Sappagh, Sherif Barakat, Tamer Abuhmed, & Mohammed Elmogy. (2021). Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions. IEEE Access. 9. 15939–15960. 69 indexed citations
10.
Mostafa, Reham R., et al.. (2021). Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Abu-Elkheir, Mervat, et al.. (2020). CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining. Algorithms. 13(7). 161–161. 11 indexed citations
12.
Barakat, Sherif, et al.. (2020). Standardized electronic health record data modeling and persistence: A comparative review. Journal of Biomedical Informatics. 114. 103670–103670. 39 indexed citations
13.
AbdelMaksoud, Eman, Sherif Barakat, & Mohammed Elmogy. (2020). A comprehensive diagnosis system for early signs and different diabetic retinopathy grades using fundus retinal images based on pathological changes detection. Computers in Biology and Medicine. 126. 104039–104039. 20 indexed citations
14.
El–Sappagh, Shaker, et al.. (2020). A framework for disease diagnosis based on fuzzy semantic ontology approach. International Journal of Medical Engineering and Informatics. 12(5). 475–475. 1 indexed citations
15.
AbdelMaksoud, Eman, Sherif Barakat, & Mohammed Elmogy. (2019). A Multi-Label Computer-aided Diagnoses System for Detecting and Diagnosing Diabetic Retinopathy. 9. 368–373. 4 indexed citations
16.
Barakat, Sherif, et al.. (2019). Alzheimer's Disease Integrated Ontology (ADIO). 374–379. 7 indexed citations
17.
18.
El–Sappagh, Shaker, et al.. (2018). Reasoning methodologies in clinical decision support systems: A literature review. Elsevier eBooks. 61–87. 6 indexed citations
19.
Barakat, Sherif, et al.. (2012). Antibiotic Use and Resistance in Animal Farming: A Quantitative and Qualitative Study on Knowledge and Practices among Farmers in Khartoum, Sudan. Zoonoses and Public Health. 59(5). 330–338. 66 indexed citations
20.
Bordass, Bill, M. F. Corcoran, Geoff Levermore, et al.. (1994). Building Environmental Performance: Facing the Future. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tomo Popović Breakdown of academic impact, for papers by Roseline Oluwaseun Ogundokun Breakdown of academic impact, for papers by M. Srinivas Breakdown of academic impact, for papers by Hock Guan Goh Breakdown of academic impact, for papers by Anuj Kumar Jain Breakdown of academic impact, for papers by Indrajeet Kumar Breakdown of academic impact, for papers by Manas Ranjan Prusty Breakdown of academic impact, for papers by Adel Sulaiman Breakdown of academic impact, for papers by Ravi Tomar Breakdown of academic impact, for papers by Madallah Alruwaili
Rankless by CCL
2026