Hafiz Tayyab Rauf

110 papers and 2.1k indexed citations i.

About

Hafiz Tayyab Rauf is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hafiz Tayyab Rauf has authored 110 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 18 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hafiz Tayyab Rauf’s work include Metaheuristic Optimization Algorithms Research (14 papers), COVID-19 diagnosis using AI (11 papers) and Evolutionary Algorithms and Applications (10 papers). Hafiz Tayyab Rauf is often cited by papers focused on Metaheuristic Optimization Algorithms Research (14 papers), COVID-19 diagnosis using AI (11 papers) and Evolutionary Algorithms and Applications (10 papers). Hafiz Tayyab Rauf collaborates with scholars based in United Kingdom, Pakistan and Saudi Arabia. Hafiz Tayyab Rauf's co-authors include M. Ikram Ullah Lali, Seifedine Kadry, Syed Ahmad Chan Bukhari, Talha Meraj, Robertas Damaševičius, Waqas Haider Bangyal, Muhammad Attique Khan, Abdullah Alharbi, Ahmad Almadhor and Sudhakar Tummala and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Hafiz Tayyab Rauf i

Fields of papers citing papers by Hafiz Tayyab Rauf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hafiz Tayyab Rauf. 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 Hafiz Tayyab Rauf. The network helps show where Hafiz Tayyab Rauf may publish in the future.

Countries citing papers authored by Hafiz Tayyab Rauf

Since Specialization
Citations

This map shows the geographic impact of Hafiz Tayyab Rauf'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 Hafiz Tayyab Rauf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hafiz Tayyab Rauf 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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