Shahab Aslani

9 papers and 220 indexed citations i.

About

Shahab Aslani is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shahab Aslani has authored 9 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shahab Aslani’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and Medical Image Segmentation Techniques (3 papers). Shahab Aslani is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and Medical Image Segmentation Techniques (3 papers). Shahab Aslani collaborates with scholars based in United Kingdom, Italy and France. Shahab Aslani's co-authors include Vittorio Murino, Michael Dayan, Diego Sona, Loredana Storelli, Massimo Filippi, Maria A. Rocca, Roger Tam, Ghassan Hamarneh, Joseph Jacob and David Barber and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Shahab Aslani i

Fields of papers citing papers by Shahab Aslani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shahab Aslani

Since Specialization
Citations

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