M. Mohamed Sathik

23 papers and 162 indexed citations i.

About

M. Mohamed Sathik is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, M. Mohamed Sathik has authored 23 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in M. Mohamed Sathik’s work include Medical Image Segmentation Techniques (4 papers), Image and Signal Denoising Methods (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). M. Mohamed Sathik is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Image and Signal Denoising Methods (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). M. Mohamed Sathik collaborates with scholars based in India. M. Mohamed Sathik's co-authors include Nikhat Parveen, K. Senthamarai Kannan, S. Sujatha, Angelina Geetha and Giulia Sofia and has published in prestigious journals such as SpringerPlus, Asian Pacific Journal of Cancer Prevention and Journal of X-Ray Science and Technology.

In The Last Decade

Co-authorship network of co-authors of M. Mohamed Sathik i

Fields of papers citing papers by M. Mohamed Sathik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Mohamed Sathik. 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 M. Mohamed Sathik. The network helps show where M. Mohamed Sathik may publish in the future.

Countries citing papers authored by M. Mohamed Sathik

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025