Muhammad Almas Anjum

47 papers and 1.1k indexed citations i.

About

Muhammad Almas Anjum is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Muhammad Almas Anjum has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Neurology. Recurrent topics in Muhammad Almas Anjum’s work include Digital Imaging for Blood Diseases (13 papers), Brain Tumor Detection and Classification (13 papers) and COVID-19 diagnosis using AI (11 papers). Muhammad Almas Anjum is often cited by papers focused on Digital Imaging for Blood Diseases (13 papers), Brain Tumor Detection and Classification (13 papers) and COVID-19 diagnosis using AI (11 papers). Muhammad Almas Anjum collaborates with scholars based in Pakistan, Lebanon and United Arab Emirates. Muhammad Almas Anjum's co-authors include Javeria Amin, Muhammad Sharif, Mudassar Raza, Muhammad Sharif, Seifedine Kadry, Tanzila Saba, Nadia Gul, Muhammad Wasif Nisar, Syed Bukhari and Shafqat Ali Shad and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Muhammad Almas Anjum i

Fields of papers citing papers by Muhammad Almas Anjum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Almas Anjum. 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 Muhammad Almas Anjum. The network helps show where Muhammad Almas Anjum may publish in the future.

Countries citing papers authored by Muhammad Almas Anjum

Since Specialization
Citations

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