Daniel Duma

9 papers and 270 indexed citations i.

About

Daniel Duma is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems and Management. According to data from OpenAlex, Daniel Duma has authored 9 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Information Systems and Management. Recurrent topics in Daniel Duma’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Daniel Duma is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Daniel Duma collaborates with scholars based in United Kingdom, Ireland and Sweden. Daniel Duma's co-authors include Amanda Clare, Maria Liakata, William Whiteley, Honghan Wu, Richard Tobin, Claire Grover, Hang Dong, Emma Davidson, Víctor Suárez-Paniagua and Beatrice Alex and has published in prestigious journals such as PLoS ONE, BMC Medical Informatics and Decision Making and Diagnostics.

In The Last Decade

Co-authorship network of co-authors of Daniel Duma i

Fields of papers citing papers by Daniel Duma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Duma

Since Specialization
Citations

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