O. E. Emam

676 total citations · 1 hit paper
36 papers, 391 citations indexed

About

O. E. Emam is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, O. E. Emam has authored 36 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 14 papers in Computational Theory and Mathematics and 12 papers in Management Science and Operations Research. Recurrent topics in O. E. Emam's work include Optimization and Mathematical Programming (19 papers), Optimization and Variational Analysis (10 papers) and Multi-Criteria Decision Making (9 papers). O. E. Emam is often cited by papers focused on Optimization and Mathematical Programming (19 papers), Optimization and Variational Analysis (10 papers) and Multi-Criteria Decision Making (9 papers). O. E. Emam collaborates with scholars based in Egypt. O. E. Emam's co-authors include M.S. Osman, Mahmoud A. Abo-Sinna, Mohamed A. El Sayed, Amr A. Abohany, Ebrahim A. Youness, Omar M. Saad, Mohamed Abdelsalam, T. Medhat, K. R. Raslan and Mona Gafar and has published in prestigious journals such as Scientific Reports, Applied Mathematics and Computation and Neural Computing and Applications.

In The Last Decade

O. E. Emam

32 papers receiving 343 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.

Advancing cybersecurity: a comprehensive review of AI-driven detection techniques

2024 55 citations O. E. Emam, Amr A. Abohany et al. Journal Of Big Data profile →

Peers

O. E. Emam

CSE

MSOR

CTM

OE

SP

Waiel F. Abd El-Wahed Egypt

Shalini Arora India

Hassène Aissi France

Esra Karasakal Türkiye

Fengjie Wu Australia

Ibrahim A. Baky Egypt

Jean de Montgolfier France

Nataliya Kalashnykova Mexico

Sujeet Kumar Singh India

Xiaojiao Tong China

Waiel F. Abd El-Wahed Egypt

O. E. Emam

277 ×1.1

CSE

213 ×1.4

MSOR

68 ×0.5

CTM

22 ×0.4

OE

99 ×2.0

SP

Citations per year, relative to O. E. Emam O. E. Emam (= 1×) peers Waiel F. Abd El-Wahed

Countries citing papers authored by O. E. Emam

Since Specialization

Citations

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

Fields of papers citing papers by O. E. Emam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by O. E. Emam. 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 O. E. Emam. The network helps show where O. E. Emam may publish in the future.

Co-authorship network of co-authors of O. E. Emam

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

All Works

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20 of 20 papers shown

1.

Emam, O. E., et al.. (2025). Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review. Journal Of Big Data. 12(1). 8 indexed citations

2.

Emam, O. E., et al.. (2024). An improved Differential evolution with Sailfish optimizer (DESFO) for handling feature selection problem. Scientific Reports. 14(1). 13517–13517. 3 indexed citations

3.

Emam, O. E., et al.. (2023). Handling uncertainty issue in software defect prediction utilizing a hybrid of ANFIS and turbulent flow of water optimization algorithm. Neural Computing and Applications. 36(9). 4583–4602. 3 indexed citations

4.

Emam, O. E., et al.. (2023). A Survey of Call Detail Records (CDR) Analysis. International Journal of Computer Applications. 185(13). 27–29.

5.

Emam, O. E., et al.. (2023). A Multi-Level Multi-Objective Integer Quadratic Programming Problem Under Pentagonal Neutrosophic Environment. Fuzzy Information and Engineering. 15(4). 347–361. 2 indexed citations

6.

Emam, O. E., et al.. (2022). Deep Learning Framework for Locating Physical Internet Hubs using Latitude and Longitude Classification. International Journal of Advanced Computer Science and Applications. 13(7). 3 indexed citations

7.

Emam, O. E., et al.. (2022). Using a Fuzzy Genetic Algorithm for Solving Transportation Logistics Problems. Journal of Business and Management Studies. 4(4). 195–211.

8.

Emam, O. E., et al.. (2021). Enhanced Framework for Big Data Requirement Elicitation. International Journal of Advanced Computer Science and Applications. 12(8). 1 indexed citations

9.

Emam, O. E., et al.. (2019). Architecting a fully fuzzy information model for multi-level quadratically constrained quadratic programming problem. OPSEARCH. 56(2). 367–389. 5 indexed citations

10.

Emam, O. E., et al.. (2018). Architecting Decision Support System for Allocating Budget at Egyptian Universities. 6(2). 56–63. 1 indexed citations

11.

Osman, M.S., et al.. (2018). Solving Fully Rough Interval Multi-level Multi-objective linear Fractional Programming Problems via FGP. Journal of Statistics Applications & Probability. 7(1). 115–126. 3 indexed citations

12.

Emam, O. E., et al.. (2017). On Rough Interval Three Level Large Scale Quadratic Integer Programming Problem. Journal of Statistics Applications & Probability. 6(2). 305–318. 1 indexed citations

13.

Osman, M.S., O. E. Emam, & Mohamed A. El Sayed. (2017). Solving Multi-level Multi-objective Fractional Programming Problems with Fuzzy Demands via FGP Approach. International Journal of Applied and Computational Mathematics. 4(1). 15 indexed citations

14.

Emam, O. E., et al.. (2015). On Rough Multi-Level Linear Programming Problem. Information Sciences Letters. 4(1). 5. 7 indexed citations

15.

Emam, O. E., et al.. (2015). On Stochastic Multi-Level Multi-Objective Fractional Programming Problems. Journal of Statistics Applications & Probability. 4(1). 93–101. 6 indexed citations

16.

Emam, O. E., et al.. (2014). A Multi-Level Fractional Programming Problem with Stochastic Parameters in Constraint. IJEIR. 3(5). 650–653. 1 indexed citations

17.

Saad, Omar M., et al.. (2014). On the Solution of a Rough Interval Bi-Level Multi-Objective Quadratic Programming Problem. IJEIR. 3(6). 803–809.

18.

Emam, O. E.. (2013). Interactive approach to bi-level integer multi-objective fractional programming problem. Applied Mathematics and Computation. 223. 17–24. 46 indexed citations

19.

Saad, Omar M. & O. E. Emam. (2011). • TAYLOR SERIES APPROACH FOR SOLVING CHANCE- CONSTRAINED BI-LEVEL INTEGER LINEAR FRACTIONAL PROGRAMMING PROBLEM. 2(5). 6 indexed citations

20.

Emam, O. E.. (2005). A fuzzy approach for bi-level integer non-linear programming problem. Applied Mathematics and Computation. 172(1). 62–71. 48 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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