Mazin Abed Mohammed

12.6k citations
258 papers · 8.3k indexed · 3 hit papers · h-index 49

Mazin Abed Mohammed

252 papers receiving 7.8k citations

Hit Papers

DCSSGA-U...262018202620202023100200300

Peers

Mazin Abed Mohammed
Comparison fields: 5 of 180
  • Health Informatics 197
  • Health Information Management 497
  • Artificial Intelligence 2.9k
  • Computer Networks and Communications 2.0k
  • Computer Vision and Pattern Recognition 1.6k
Replace Deepak Gupta with:
Deepak Gupta India
Seifedine Kadry Lebanon
Victor Hugo C. de Albuquerque Brazil
Nilanjan Dey India
Praveen Kumar Reddy Maddikunta India
Prayag Tiwari China
M. Shamim Hossain Saudi Arabia
Gunasekaran Manogaran United States
Ashish Khanna India
Robertas Damaševičius Lithuania
Mazin Abed Mohammed relative to Deepak Gupta India Deepak Gupta's profile →
Citations per field
00.5×1.5×2.4×
Deepak Gupta · 1×
Citations per year

Countries citing papers authored by Mazin Abed Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Mazin Abed Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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DCSSGA-UNet: Biomedical image segmentation with DenseNet channel spatial and Semantic Guidance Attentionbreakdown →
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2 20250
3 20244
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5 202422
6 20246
7 202343
8 202321
9 202319
10 202317
11 20231
12 202337
13 20237
14 202319
15 202355
16 202214
17 202214
18 202237
19 202111
20 202030

About Mazin Abed Mohammed

Mazin Abed Mohammed is a scholar working on Health Informatics, Computer Networks and Communications and Health Information Management, having authored 258 papers that have together received 8.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (45 papers), Blockchain Technology Applications and Security (35 papers), COVID-19 diagnosis using AI (23 papers), Brain Tumor Detection and Classification (20 papers), AI in cancer detection (20 papers), Artificial Intelligence in Healthcare (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Fuzzy and Soft Set Theory (12 papers). The work is most often cited by research in Health Informatics (197 citations), Health Information Management (497 citations) and Artificial Intelligence (2.9k citations). Mazin Abed Mohammed has collaborated with scholars based in Iraq, Malaysia and Pakistan. Frequent co-authors include Karrar Hameed Abdulkareem, Salama A. Mostafa, Mohd Khanapi Abd Ghani, Dheyaa Ahmed Ibrahim, Abdullah Lakhan, Robertas Damaševičius, N. Arunkumar, Begonya García-Zapirain, Ammar Awad Mutlag and Mashael Maashi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

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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