Muhammad Shahzeb

24 total papers · 604 total citations
9 papers, 28 citations indexed

About

Muhammad Shahzeb is a scholar working on Radiology, Nuclear Medicine and Imaging, Paleontology and Infectious Diseases. According to data from OpenAlex, Muhammad Shahzeb has authored 9 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Paleontology and 1 paper in Infectious Diseases. Recurrent topics in Muhammad Shahzeb's work include COVID-19 diagnosis using AI (3 papers), Paleontology and Stratigraphy of Fossils (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Muhammad Shahzeb is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Paleontology and Stratigraphy of Fossils (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Muhammad Shahzeb collaborates with scholars based in Pakistan, Saudi Arabia and China. Muhammad Shahzeb's co-authors include Muhammad Anees, Mumtaz Muhammad Shah, Ayman Mofti, Humeira Badsha, Imran Ahmad, Ahmed Kamal, Muhammad Imran, Anees Ahmad, Asad Khan and Tehseen Zafar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Russian Geology and Geophysics and The Open Rheumatology Journal.

In The Last Decade

Muhammad Shahzeb

8 papers receiving 27 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muhammad Shahzeb 8 6 5 5 4 9 28
Philippe Hiroz 3 0.4× 5 1.0× 3 0.8× 8 25
A Abelevich 8 1.0× 4 0.7× 8 32
Wayne Brown 6 0.8× 7 1.2× 7 37
Luiz Garcia Mandarano-Filho 6 0.8× 6 1.0× 11 24
Annette Johnstone 6 0.8× 3 0.6× 9 29
Jakob Ankerhold 5 0.6× 16 3.2× 9 2.3× 7 31
Esteban García-Gallo 4 0.5× 7 1.4× 2 0.5× 9 34
P Zycinski 11 1.4× 4 0.8× 7 27
Ahmed Abdulmomen 5 0.6× 3 0.6× 8 23
Raquel Adeliño 9 1.1× 5 0.8× 3 0.8× 8 216

Countries citing papers authored by Muhammad Shahzeb

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shahzeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shahzeb

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shahzeb. A scholar is included among the top collaborators of Muhammad Shahzeb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Shahzeb. Muhammad Shahzeb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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