Jaafar Alghazo

1.5k citations
63 papers · 994 indexed · 1 hit paper · h-index 18

Jaafar Alghazo

57 papers receiving 938 citations

Hit Papers

Deep Learning Utilization in Agriculture: Detection of Ri...13620222026202320244080120

Peers

Jaafar Alghazo
Comparison fields: 5 of 115
  • Human-Computer Interaction 165
  • Computer Vision and Pattern Recognition 282
  • Neurology 107
  • Media Technology 106
  • Health Informatics 16
Replace Ghazanfar Latif with:
Ghazanfar Latif Saudi Arabia
Lubna A. Gabralla Saudi Arabia
Saeed Ali Bahaj Saudi Arabia
Prospero C. Naval Philippines
Senthil Pandi S India
A. Senthilselvi India
Sandeep Kumar India
Anand Paul South Korea
Fabrízzio Soares Brazil
Muhammad Shahid Anwar South Korea
Jaafar Alghazo relative to Ghazanfar Latif Saudi Arabia Ghazanfar Latif's profile →
Citations per field
00.5×1.5×
Ghazanfar Latif · 1×
Citations per year

Countries citing papers authored by Jaafar Alghazo

Since Specialization
Citations

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

Fields of papers citing papers by Jaafar Alghazo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20242
3 20240
4 20242
5 20231
6 20231
7 20238
8 20225
9 20221
10 20221
11 20204
12 202028
13 202019
14 201923
15 20191
16 201990
17 201935
18 201812
19
Modeling and Realization of the Floating Point Inverse Square Root, Square Root, and Division unit (fP ISD) Using VHDL and FPGAs.
20060
20
Hardware Realization of Biological Mechanisms Using VHDL and FPGAs
20006

About Jaafar Alghazo

Jaafar Alghazo is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Neurology, having authored 63 papers that have together received 994 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (8 papers), Smart Agriculture and AI (7 papers), Digital Imaging for Blood Diseases (5 papers), Vehicle License Plate Recognition (5 papers), COVID-19 diagnosis using AI (5 papers), AI in cancer detection (5 papers), Hand Gesture Recognition Systems (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Human-Computer Interaction (165 citations), Computer Vision and Pattern Recognition (282 citations) and Neurology (107 citations). Jaafar Alghazo has collaborated with scholars based in Saudi Arabia, United States and Malaysia. Frequent co-authors include Ghazanfar Latif, Nazeeruddin Mohammad, D. N. F. Awang Iskandar, Sherif E. Abdelhamid, Abul Bashar, Ghassen Ben Brahim, Omar K. M. Ouda, N. Botros, Abdul‐Sattar Nizami and Mohammad Rehan. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Applied 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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