Eman AbdelMaksoud

739 total citations
9 papers, 481 citations indexed

About

Eman AbdelMaksoud is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Eman AbdelMaksoud has authored 9 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Ophthalmology. Recurrent topics in Eman AbdelMaksoud's work include Retinal Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (4 papers) and Imbalanced Data Classification Techniques (3 papers). Eman AbdelMaksoud is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (4 papers) and Imbalanced Data Classification Techniques (3 papers). Eman AbdelMaksoud collaborates with scholars based in Egypt, Greece and United Kingdom. Eman AbdelMaksoud's co-authors include Mohammed Elmogy, Sherif Barakat, Tamer Abuhmed, Shaker El–Sappagh, Osama Ouda, A. A. Abd El-Aziz, Naglaa Agamia, Zoé Apalla, Samar El Achy and Ahmad Samir Alfaar and has published in prestigious journals such as IEEE Access, Computers in Biology and Medicine and European Journal of Pediatrics.

In The Last Decade

Eman AbdelMaksoud

9 papers receiving 442 citations

Peers

Eman AbdelMaksoud

CVPR

NEURO

RNMI

OPHTH

AI

Nagur Shareef Shaik India

A. Jayachandran India

Giri Babu Kande India

A. Krishna Rao India

Khin Yadanar Win Thailand

Ayesha Jabbar China

Preetham Kumar India

Xuanya Li China

Abdelali Elmoufidi Morocco

Saleha Masood Pakistan

Nagur Shareef Shaik India

Eman AbdelMaksoud

301 ×1.0

CVPR

221 ×0.9

NEURO

390 ×1.7

RNMI

139 ×1.4

OPHTH

243 ×2.6

AI

Citations per year, relative to Eman AbdelMaksoud Eman AbdelMaksoud (= 1×) peers Nagur Shareef Shaik

Countries citing papers authored by Eman AbdelMaksoud

Since Specialization

Citations

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

Fields of papers citing papers by Eman AbdelMaksoud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eman AbdelMaksoud

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

All Works

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9 of 9 papers shown

1.

Alfaar, Ahmad Samir, et al.. (2023). The incidence of retinopathy of prematurity in neonates in Germany in 2019; a nationwide epidemiological cohort study. European Journal of Pediatrics. 183(2). 827–834. 4 indexed citations

2.

Ouda, Osama, Eman AbdelMaksoud, A. A. Abd El-Aziz, & Mohammed Elmogy. (2022). Multiple Ocular Disease Diagnosis Using Fundus Images Based on Multi-Label Deep Learning Classification. Electronics. 11(13). 1966–1966. 28 indexed citations

3.

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

4.

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

5.

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

6.

Agamia, Naglaa, et al.. (2020). Interferon‐gamma serum level and immunohistochemical expression of CD8 cells in tissue biopsies in patients with alopecia areata in correlation with trichoscopic findings. Dermatologic Therapy. 33(4). e13718–e13718. 12 indexed citations

7.

AbdelMaksoud, Eman, Sherif Barakat, & Mohammed Elmogy. (2020). Diabetic Retinopathy Grading Based on a Hybrid Deep Learning Model. 1–6. 12 indexed citations

8.

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

9.

AbdelMaksoud, Eman, et al.. (2015). Brain tumor segmentation based on a hybrid clustering technique. Egyptian Informatics Journal. 16(1). 71–81. 274 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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