Zeehaida Mohamed

2.1k citations
127 papers · 1.4k indexed · h-index 23

Zeehaida Mohamed

121 papers receiving 1.4k citations

Peers

Zeehaida Mohamed
Comparison fields: 5 of 134
  • Parasitology 447
  • Infectious Diseases 312
  • Computer Vision and Pattern Recognition 283
  • Media Technology 120
  • Endocrinology 64
Replace John Frean with:
John Frean South Africa
Patricia Sheen Peru
William H. Benjamin United States
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Philippe Gillet Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Zeehaida Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Zeehaida Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 20241
4 20230
5 20231
6 20221
7
Serological and molecular detection of toxoplasmosis among blood donors in tertiary hospital of Malaysia
20200
8
Segmentation Based on Morphological Approach for Enhanced Malaria Parasites Detection
201810
9
Analysis of Colour Constancy Algorithms for Improving Segmentation of Malaria Images
201810
10
MALARIA PARASITES SEGMENTATION BASED ON SAUVOLA ALGORITHM MODIFICATION
20188
11 201723
12 201720
13
A study on HLA-DR/DQ typing in adult Malay patients with acute amoebic liver abscess.
20161
14 20139
15
Detection and summation of pus cells and epithelial cells for sputum quality grading using K-Means clustering and color thresholding
20121
16 20117
17 20106
18 20094
19
Classification Of Malaria Parasite Species Based On Thin Blood Smears Using Multilayer Perceptron Network
200813
20 200638

About Zeehaida Mohamed

Zeehaida Mohamed is a scholar working on Parasitology, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 127 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (40 papers), Amoebic Infections and Treatments (22 papers), Parasitic Infections and Diagnostics (18 papers), Parasites and Host Interactions (17 papers), COVID-19 diagnosis using AI (14 papers), Mosquito-borne diseases and control (14 papers), Smart Agriculture and AI (13 papers) and Toxoplasma gondii Research Studies (12 papers). The work is most often cited by research in Parasitology (447 citations), Infectious Diseases (312 citations) and Computer Vision and Pattern Recognition (283 citations). Zeehaida Mohamed has collaborated with scholars based in Malaysia, Indonesia and Sudan. Frequent co-authors include Aimi Salihah Abdul Nasir, Khalid Hajissa, ‪Mohd Yusoff Mashor, Rahmah Noordin, Rapeah Suppıan, Habsah Hasan, Hans Van Rostenberghe, Kamarul Hawari Ghazali, Nabilah Ismail and Boon Huat Lim. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

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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