Nancy M. Salem

1.4k total citations · 1 hit paper
45 papers, 914 citations indexed

About

Nancy M. Salem is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Nancy M. Salem has authored 45 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Ophthalmology. Recurrent topics in Nancy M. Salem's work include Retinal Imaging and Analysis (12 papers), Digital Imaging for Blood Diseases (10 papers) and Glaucoma and retinal disorders (8 papers). Nancy M. Salem is often cited by papers focused on Retinal Imaging and Analysis (12 papers), Digital Imaging for Blood Diseases (10 papers) and Glaucoma and retinal disorders (8 papers). Nancy M. Salem collaborates with scholars based in Egypt, United Kingdom and Bahrain. Nancy M. Salem's co-authors include Walid Al‐Atabany, Hossam H. Sultan, Asoke K. Nandi, Sameh A. Salem, Nisreen I. R. Yassin, Ibrahim Sadek, Fatma A. Hashim, Roaa I. Mubarak, H.M. Ahmed and Mohamed T. El-Wakad and has published in prestigious journals such as Scientific Reports, IEEE Access and Journal of the Franklin Institute.

In The Last Decade

Nancy M. Salem

40 papers receiving 831 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.

Multi-Classification of Brain Tumor Images Using Deep Neural Network

2019 489 citations Nancy M. Salem, Walid Al‐Atabany et al. IEEE Access profile →

Peers

Nancy M. Salem

CVPR

NEURO

RNMI

AI

OPHTH

Zaka Ur Rehman Malaysia

Rostom Kachouri France

Sarmad Maqsood Lithuania

Donghuan Lu China

Wan Mimi Diyana Wan Zaki Malaysia

Ali Işın Cyprus

Shokofeh Anari Ireland

Najah Alsubaie Saudi Arabia

Rasoul Khayati Iran

Mukti E. Jadhav India

Zaka Ur Rehman Malaysia

Nancy M. Salem

265 ×0.4

CVPR

179 ×0.4

NEURO

197 ×0.6

RNMI

117 ×0.4

AI

90 ×0.7

OPHTH

Citations per year, relative to Nancy M. Salem Nancy M. Salem (= 1×) peers Zaka Ur Rehman

Countries citing papers authored by Nancy M. Salem

Since Specialization

Citations

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

Fields of papers citing papers by Nancy M. Salem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy M. Salem

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy M. Salem. A scholar is included among the top collaborators of Nancy M. Salem 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 Nancy M. Salem. Nancy M. Salem 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.

Rehman, Shafiq Ul, et al.. (2025). From lab to real-life: A three-stage validation of wearable technology for stress monitoring. MethodsX. 14. 103205–103205. 5 indexed citations

2.

Salem, Nancy M., et al.. (2025). Enhanced bone cement for fixation of prosthetic joint utilizing nanoparticles. Journal of Materials Science Materials in Medicine. 36(1). 10–10. 2 indexed citations

3.

Mubarak, Roaa I., et al.. (2024). A machine-learning approach for stress detection using wearable sensors in free-living environments. Computers in Biology and Medicine. 179. 108918–108918. 25 indexed citations

4.

Mubarak, Roaa I., et al.. (2024). Deep Neural Network Based for Stress Detection. Procedia Computer Science. 246. 3178–3187.

5.

Salem, Nancy M., et al.. (2024). Robust detection and refinement of saliency identification. Scientific Reports. 14(1). 11076–11076. 1 indexed citations

6.

Salem, Nancy M., et al.. (2024). Focal Adhesions Segmentation Using Deep Learning. 1–5.

7.

Salem, Nancy M., et al.. (2024). Effect of using nano-particles of magnesium oxide and titanium dioxide to enhance physical and mechanical properties of hip joint bone cement. Scientific Reports. 14(1). 2838–2838. 2 indexed citations

8.

Sadek, Ibrahim, et al.. (2024). Enhanced DeepPhys: Leveraging Deep Learning for Heart Rate Detection from Facial Videos. 381–386. 1 indexed citations

9.

Salem, Nancy M., et al.. (2024). Sleep Stages Classification Using ECG Signals and Deep Learning: A Comparative Study. 1–4.

10.

Ahmed, H.M., Nancy M. Salem, & Walid Al‐Atabany. (2023). Human cornea thermo-viscoelastic behavior modelling using standard linear solid model. BMC Ophthalmology. 23(1). 250–250. 3 indexed citations

11.

Al‐Atabany, Walid, et al.. (2023). A comparative study for nuclei segmentation using latest deep learning optimizers. 295–299. 1 indexed citations

12.

Ahmed, H.M., Nancy M. Salem, & Walid Al‐Atabany. (2021). Impact of Post–Refractive Surgeries on Corneal Biomechanics—A Review. Journal of Clinical Engineering. 46(4). 177–188. 3 indexed citations

13.

Ahmed, H.M., Walid Al‐Atabany, & Nancy M. Salem. (2021). Corneal Biomechanics Assessment Using High Frequency Ultrasound B-Mode Imaging. IEEE Access. 9. 106014–106028. 3 indexed citations

14.

Salem, Nancy M., et al.. (2021). Robust Background Template for Saliency Detection. 23. 79–82. 1 indexed citations

15.

Salem, Nancy M., et al.. (2019). Automated brain tumor segmentation from multi-slices FLAIR MRI images. Bio-Medical Materials and Engineering. 30(4). 449–462. 6 indexed citations

16.

Salem, Nancy M., et al.. (2016). Finite-Element Analysis of Ultrasonic Shear Wave Dispersion Vibrometry in the Uterine Cervix. Journal of Medical Imaging and Health Informatics. 6(6). 1379–1384. 1 indexed citations

17.

Salem, Nancy M.. (2014). Segmentation of white blood cells from microscopic images using K-means clustering. 371–376. 38 indexed citations

18.

Hashim, Fatma A., et al.. (2013). Preprocessing of color retinal fundus images. 190–193. 11 indexed citations

19.

Salem, Nancy M. & Asoke K. Nandi. (2008). Unsupervised Segmentation of Retinal Blood Vessels Using a Single Parameter Vesselness Measure. 1205. 528–534. 16 indexed citations

20.

Salem, Sameh A., Nancy M. Salem, & Asoke K. Nandi. (2007). Segmentation of retinal blood vessels using a novel clustering algorithm (RACAL) with a partial supervision strategy. Medical & Biological Engineering & Computing. 45(3). 261–273. 51 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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