Maha Ibrahim

1.9k citations
47 papers · 1.2k · 1 hit paper · h-index 15

Impact in

Papers in

    • Bariatric Surgery and Outcomes 8
    • Surgical Simulation and Training 2
    • Musculoskeletal pain and rehabilitation 5

Maha Ibrahim

44 papers receiving 1.1k citations

Maha Ibrahim's Hit Papers

Knowledge, Perceptions, and Attitude of Egyptians Towards the Novel Coronavirus Disease (COVID-19) 2020 · 498 citations
4980+2+4Years since publication100200300400

Peers

Maha Ibrahim
Comparison fields: 5 of 132
  • Modeling and Simulation 131
  • Clinical Psychology 268
  • Health 93
  • Orthopedics and Sports Medicine 82
  • General Dentistry 13
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Maha Ibrahim relative to Anu Vinod Ranade India Anu Vinod Ranade's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maha Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Maha Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Knowledge, Perceptions, and Attitude of Egyptians Towards the Novel Coronavirus Disease (COVID-19)
Hit paper breakdown →
2020498
2 1998139
3 201292
4 202048
5 201543
6 200740
7 202027
8 201726
9 201525
10 201322
11 202019
12 201919
13 201519
14 202215
15 201914
16 202012
17 202211
18 202210
19 202210
20 20217

About Maha Ibrahim

Maha Ibrahim is a scholar working on Surgery, Pharmacology, Public Health, Environmental and Occupational Health, Genetics and Pathology and Forensic Medicine, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (8 papers), Musculoskeletal pain and rehabilitation (5 papers), Ethics in Clinical Research (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Genomics and Rare Diseases (3 papers), Surgical Simulation and Training (2 papers), Plant Pathogens and Fungal Diseases (2 papers) and Vagus Nerve Stimulation Research (2 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Clinical Psychology (268 citations), Health (93 citations), Orthopedics and Sports Medicine (82 citations) and General Dentistry (13 citations). Maha Ibrahim has collaborated with scholars based in Egypt, United States and United Arab Emirates. Frequent co-authors include Ahmed Samir Abdelhafiz, Zeinab Mohammed, Mohamed Ayyad, Mohamed Alorabi, Hany H. Ziady, Eman A. Sultan, L. Mettler, W. Jonat, Abdelrahman Nimeri and Mohammed Al Hadad. Their work appears in journals such as Obesity Surgery, BMC Musculoskeletal Disorders, Annals of the Rheumatic Diseases, Biopreservation and Biobanking and BMC Medical Ethics.

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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