Elima Hussain

6 papers and 267 indexed citations i.

About

Elima Hussain is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Elima Hussain has authored 6 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Epidemiology. Recurrent topics in Elima Hussain’s work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cervical Cancer and HPV Research (2 papers). Elima Hussain is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cervical Cancer and HPV Research (2 papers). Elima Hussain collaborates with scholars based in India. Elima Hussain's co-authors include Lipi B. Mahanta, Chandana Das, Manish Chowdhury and Saswati Sanyal Choudhury and has published in prestigious journals such as Expert Systems with Applications, Neural Networks and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Elima Hussain i

Fields of papers citing papers by Elima Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elima Hussain

Since Specialization
Citations

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