Abeer Saber

1.2k citations
24 papers · 777 · 1 hit paper · h-index 13

Impact in

Papers in

Abeer Saber

23 papers receiving 761 citations

Abeer Saber's Hit Papers

A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique 2021 · 288 citations
2880+1+3Years since publication50100150200250

Peers

Abeer Saber
Comparison fields: 5 of 102
  • Neurology 140
  • Artificial Intelligence 428
  • Radiology, Nuclear Medicine and Imaging 225
  • Computer Vision and Pattern Recognition 172
  • Health Information Management 33
Replace Rohit Kundu with:
Rohit Kundu India
Md Sipon Miah Bangladesh
Shankar Thawkar India
Fung Fung Ting Malaysia
Esraa Hassan Egypt
J. Dinesh Peter India
Kashif Shaheed China
Mahua Bhattacharya India
Muhammad Irfan Sharif Pakistan
Debanjan Konar India
Abeer Saber relative to Rohit Kundu India Rohit Kundu's profile →
Citations per field
00.5×2.6×
Rohit Kundu · 1×
Citations per year

Countries citing papers authored by Abeer Saber

Since Specialization
Citations

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

Fields of papers citing papers by Abeer Saber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Abeer Saber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abeer Saber Line = papers co-authored together Abeer Saber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
Hit paper breakdown →
2021288
2 202272
3 202453
4 202348
5 202444
6 202439
7 202437
8 202336
9 202327
10 202420
11 202319
12 202518
13 202518
14 202111
15 20239
16 20249
17 20257
18 20217
19 20244
20 20254

About Abeer Saber

Abeer Saber is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 24 papers that have together received 777 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Brain Tumor Detection and Classification (9 papers), Advanced Neural Network Applications (4 papers), Digital Imaging for Blood Diseases (3 papers), COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Gene expression and cancer classification (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Neurology (140 citations), Artificial Intelligence (428 citations), Radiology, Nuclear Medicine and Imaging (225 citations), Computer Vision and Pattern Recognition (172 citations) and Health Information Management (33 citations). Abeer Saber has collaborated with scholars based in Egypt, Saudi Arabia and Sweden. Frequent co-authors include Arabi Keshk, Mohamed Sakr, Osama M. Abo-Seida, Huiling Chen, Esraa Hassan, Wael A. Awad, Esraa Hassan, Abdelazim G. Hussien, Laith Abualigah and M. Shamim Hossain. Their work appears in journals such as Scientific Reports, Biomedical Signal Processing and Control, Neural Computing and Applications, PLoS ONE and Journal of Computational Design and Engineering.

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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