Ammar Mohammed

3.3k citations
76 papers · 1.9k · 1 hit paper · h-index 20

Impact in

  • Neurology top 5%
    • Brain Tumor Detection and Classification
    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • AI in cancer detection
    • Advanced Text Analysis Techniques

Papers in

Ammar Mohammed

61 papers receiving 1.8k citations

Ammar Mohammed's Hit Papers

A comprehensive review on ensemble deep learning: Opportunities and challenges 2023 · 590 citations
5900+1+2Years since publication100200300400500

Peers

Ammar Mohammed
Comparison fields: 5 of 163
  • Neurology 239
  • Artificial Intelligence 866
  • Health Information Management 96
  • Computer Vision and Pattern Recognition 323
  • Health Informatics 20
Replace Adi Alhudhaif with:
Adi Alhudhaif Saudi Arabia
Hafiz Tayyab Rauf United Kingdom
Abdullah-Al Nahid Bangladesh
Serestina Viriri South Africa
Amel Ali Alhussan Saudi Arabia
Akash Kumar Bhoi India
Fahd N. Al‐Wesabi Saudi Arabia
Hamid Tairi Morocco
Muhammad Faheem Pakistan
Muhammad Shafiq South Korea
Ammar Mohammed relative to Adi Alhudhaif Saudi Arabia Adi Alhudhaif's profile →
Citations per field
00.5×1.5×2.4×
Adi Alhudhaif · 1×
Citations per year

Countries citing papers authored by Ammar Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ammar Mohammed, 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 Ammar Mohammed Line = papers co-authored together Ammar Mohammed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A comprehensive review on ensemble deep learning: Opportunities and challenges
Hit paper breakdown →
2023590
2 2019294
3 2021103
4 201997
5 201990
6 201559
7 202159
8 202054
9 202246
10 202140
11 202334
12 202134
13 202332
14 202329
15 202128
16 202126
17 202123
18 202422
19 202321
20 202320

About Ammar Mohammed

Ammar Mohammed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Health Information Management and Neurology, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Advanced Text Analysis Techniques (10 papers), Natural Language Processing Techniques (8 papers), AI in cancer detection (8 papers), Sentiment Analysis and Opinion Mining (8 papers), Text and Document Classification Technologies (7 papers), Artificial Intelligence in Healthcare (5 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Neurology (239 citations), Artificial Intelligence (866 citations), Health Information Management (96 citations), Computer Vision and Pattern Recognition (323 citations) and Health Informatics (20 citations). Ammar Mohammed has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Rania Kora, Hesham A. Hefny, Eslam Amer, Tamer Khatib, Jagadeesh Pasupuleti, Usman Tariq, Atef Ibrahim, Wilfried Elmenreich, Ahmed Elmogy and Lamiaa Fattouh Ibrahim. Their work appears in journals such as IEEE Access, Social Network Analysis and Mining, Journal of King Saud University - Computer and Information Sciences, Egyptian Informatics Journal and Artificial Intelligence in Medicine.

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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