Ghazanfar Latif

59 papers and 794 indexed citations i.

About

Ghazanfar Latif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Ghazanfar Latif has authored 59 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 17 papers in Neurology. Recurrent topics in Ghazanfar Latif’s work include Brain Tumor Detection and Classification (17 papers), Advanced Neural Network Applications (9 papers) and Digital Imaging for Blood Diseases (9 papers). Ghazanfar Latif is often cited by papers focused on Brain Tumor Detection and Classification (17 papers), Advanced Neural Network Applications (9 papers) and Digital Imaging for Blood Diseases (9 papers). Ghazanfar Latif collaborates with scholars based in Saudi Arabia, United States and Malaysia. Ghazanfar Latif's co-authors include Jaafar Alghazo, D. N. F. Awang Iskandar, Nazeeruddin Mohammad, Abul Bashar, Ghassen Ben Brahim, M. Arfan Jaffar, Anwar M. Mirza, Kévin Bouchard, Fadi N. Sibai and Julien Maître and has published in prestigious journals such as IEEE Access, Applied Sciences and Viruses.

In The Last Decade

Co-authorship network of co-authors of Ghazanfar Latif i

Fields of papers citing papers by Ghazanfar Latif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ghazanfar Latif

Since Specialization
Citations

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

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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2025