Countries where authors publish in Intelligence-Based Medicine
Since Specialization
Citations
This map shows the geographic impact of research published in Intelligence-Based Medicine. 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 papers published in Intelligence-Based Medicine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Intelligence-Based Medicine more than expected).
Fields of papers published in Intelligence-Based Medicine
This network shows the impact of papers published in Intelligence-Based Medicine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Intelligence-Based Medicine.
About Intelligence-Based Medicine
The 276 papers published in Intelligence-Based Medicine in the last decades have received a total of 1.7k indexed citations . Papers published in Intelligence-Based Medicine usually cover Health Informatics (35 papers), Health Information Management (28 papers), Radiology, Nuclear Medicine and Imaging (81 papers), Artificial Intelligence (85 papers) and Neurology (18 papers) specifically the topics of AI in cancer detection (39 papers), COVID-19 diagnosis using AI (37 papers), Artificial Intelligence in Healthcare and Education (35 papers), Radiomics and Machine Learning in Medical Imaging (33 papers), Machine Learning in Healthcare (32 papers), Artificial Intelligence in Healthcare (26 papers), Brain Tumor Detection and Classification (18 papers) and Medical Imaging and Analysis (15 papers). The most active scholars publishing in Intelligence-Based Medicine are Anthony Chang, Anna Jobin, Marcello Ienca, Felix Gille, Manas Ranjan Prusty, Matthew P. Lungren, Anuj Pareek, Candace Moore, Randall J. Ellis and H. Russell Kunz.
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.