Marwa M. Emam

2.0k total citations · 2 hit papers
35 papers, 1.4k citations indexed

About

Marwa M. Emam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Marwa M. Emam has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Neurology. Recurrent topics in Marwa M. Emam's work include Metaheuristic Optimization Algorithms Research (14 papers), Brain Tumor Detection and Classification (7 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Marwa M. Emam is often cited by papers focused on Metaheuristic Optimization Algorithms Research (14 papers), Brain Tumor Detection and Classification (7 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Marwa M. Emam collaborates with scholars based in Egypt, Saudi Arabia and India. Marwa M. Emam's co-authors include Essam H. Houssein, Abdelmgeid A. Ali, Ponnuthurai Nagaratnam Suganthan, Nagwan Abdel Samee, Diego Oliva, Rania M. Ghoniem, Noha F. Mahmoud, Mina Younan, Mohamed Abdel Hameed and Emre Çelik and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Journal of Energy Storage.

In The Last Decade

Marwa M. Emam

33 papers receiving 1.4k citations

Hit Papers

Deep and machine learning techniques for medical imaging-... 2020 2026 2022 2024 2020 2023 50 100 150 200 250
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. Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
    2020 263 citations Essam H. Houssein, Marwa M. Emam et al. Expert Systems with Applications profile →
  2. Liver Cancer Algorithm: A novel bio-inspired optimizer
    2023 166 citations Essam H. Houssein, Diego Oliva et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marwa M. Emam Egypt 18 860 387 309 183 157 35 1.4k
Yan Pei Japan 23 848 1.0× 448 1.2× 450 1.5× 145 0.8× 166 1.1× 158 1.8k
Nagwan Abdel Samee Saudi Arabia 20 617 0.7× 348 0.9× 280 0.9× 85 0.5× 232 1.5× 101 1.3k
Eva Tuba Serbia 26 796 0.9× 500 1.3× 136 0.4× 102 0.6× 57 0.4× 76 1.7k
Alper Baştürk Türkiye 22 602 0.7× 531 1.4× 308 1.0× 63 0.3× 75 0.5× 58 1.5k
Ahmed M. Anter Egypt 18 463 0.5× 307 0.8× 245 0.8× 73 0.4× 124 0.8× 52 1.1k
Amany Sarhan Egypt 15 415 0.5× 479 1.2× 291 0.9× 53 0.3× 175 1.1× 96 1.4k
Zhenbing Liu China 24 688 0.8× 961 2.5× 300 1.0× 76 0.4× 195 1.2× 101 1.8k
Mukesh Saraswat India 21 948 1.1× 746 1.9× 139 0.4× 134 0.7× 36 0.2× 66 1.8k

Countries citing papers authored by Marwa M. Emam

Since Specialization
Citations

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

Fields of papers citing papers by Marwa M. Emam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marwa M. Emam

This figure shows the co-authorship network connecting the top 25 collaborators of Marwa M. Emam. A scholar is included among the top collaborators of Marwa M. 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 Marwa M. Emam. Marwa M. Emam 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.
Abdel-Salam, Mahmoud, et al.. (2025). EATHOA: Elite-evolved hiking algorithm for global optimization and precise multi-thresholding image segmentation in intracerebral hemorrhage images. Computers in Biology and Medicine. 196(Pt C). 110835–110835. 1 indexed citations
2.
Emam, Marwa M., Hoda Abd El-Sattar, Essam H. Houssein, & Salah Kamel. (2025). Optimized design and integration of an off-grid solar PV-biomass-battery hybrid energy system using an enhanced educational competition algorithm for cost-effective rural electrification. Journal of Energy Storage. 120. 116381–116381. 3 indexed citations
3.
Abdel-Salam, Mahmoud, et al.. (2025). A novel dynamic Nelder-based Electric Eel Foraging algorithm for global optimization and pathological colorectal cancer image segmentation. Computers in Biology and Medicine. 197(Pt A). 110982–110982. 1 indexed citations
4.
Emam, Marwa M., Mohammed R. Saad, Mina Younan, & Essam H. Houssein. (2025). An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems. Journal Of Big Data. 12(1). 3 indexed citations
5.
Emam, Marwa M., Reham R. Mostafa, & Essam H. Houssein. (2025). Computer-aided diagnosis system for predicting liver cancer disease using modified Genghis Khan Shark Optimizer algorithm. Expert Systems with Applications. 285. 128017–128017.
6.
Emam, Marwa M., Mosa E. Hosney, Reham R. Mostafa, & Essam H. Houssein. (2025). Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems. Journal Of Big Data. 12(1). 2 indexed citations
7.
Emam, Marwa M., Essam H. Houssein, Nagwan Abdel Samee, Manal Abdullah Alohali, & Mosa E. Hosney. (2024). Breast cancer diagnosis using optimized deep convolutional neural network based on transfer learning technique and improved Coati optimization algorithm. Expert Systems with Applications. 255. 124581–124581. 23 indexed citations
8.
Houssein, Essam H., Marwa M. Emam, Narinder Singh, et al.. (2024). An improved honey badger algorithm for global optimization and multilevel thresholding segmentation: real case with brain tumor images. Cluster Computing. 27(10). 14315–14364. 6 indexed citations
9.
Hosney, Mosa E., Essam H. Houssein, Mohammed R. Saad, et al.. (2024). Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning. Computers in Biology and Medicine. 182. 109175–109175. 9 indexed citations
10.
Emam, Marwa M., et al.. (2024). Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection. Computers in Biology and Medicine. 180. 108984–108984. 9 indexed citations
11.
Mostafa, Reham R., Essam H. Houssein, Abdelazim G. Hussien, Birmohan Singh, & Marwa M. Emam. (2024). An enhanced chameleon swarm algorithm for global optimization and multi-level thresholding medical image segmentation. Neural Computing and Applications. 36(15). 8775–8823. 22 indexed citations
12.
Sahoo, Saroj Kumar, Essam H. Houssein, M. Premkumar, Apu Kumar Saha, & Marwa M. Emam. (2023). Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation. Expert Systems with Applications. 227. 120367–120367. 44 indexed citations
13.
Sahoo, Saroj Kumar, et al.. (2023). Multi-objective quasi-reflection learning and weight strategy-based moth flame optimization algorithm. Neural Computing and Applications. 36(8). 4229–4261. 20 indexed citations
14.
Thaher, Thaer, et al.. (2023). Cooperative Swarm Intelligence Algorithms for Adaptive Multilevel Thresholding Segmentation of COVID-19 CT-Scan Images. JUCS - Journal of Universal Computer Science. 29(7). 759–804. 9 indexed citations
15.
Houssein, Essam H., Diego Oliva, Nagwan Abdel Samee, Noha F. Mahmoud, & Marwa M. Emam. (2023). Liver Cancer Algorithm: A novel bio-inspired optimizer. Computers in Biology and Medicine. 165. 107389–107389. 166 indexed citations breakdown →
16.
Emam, Marwa M., Nagwan Abdel Samee, Mona Jamjoom, & Essam H. Houssein. (2023). Optimized deep learning architecture for brain tumor classification using improved Hunger Games Search Algorithm. Computers in Biology and Medicine. 160. 106966–106966. 46 indexed citations
17.
Houssein, Essam H., et al.. (2022). An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm. Computers in Biology and Medicine. 149. 106075–106075. 119 indexed citations
18.
Houssein, Essam H., Marwa M. Emam, & Abdelmgeid A. Ali. (2022). An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm. Neural Computing and Applications. 34(20). 18015–18033. 98 indexed citations
19.
Emam, Marwa M., Essam H. Houssein, & Rania M. Ghoniem. (2022). A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images. Computers in Biology and Medicine. 152. 106404–106404. 76 indexed citations
20.
Houssein, Essam H., Marwa M. Emam, & Abdelmgeid A. Ali. (2021). Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images. Neural Computing and Applications. 33(24). 16899–16919. 93 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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