Laura Dioşan

40 papers and 282 indexed citations i.

About

Laura Dioşan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laura Dioşan has authored 40 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laura Dioşan’s work include Radiomics and Machine Learning in Medical Imaging (10 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Evolutionary Algorithms and Applications (7 papers). Laura Dioşan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Evolutionary Algorithms and Applications (7 papers). Laura Dioşan collaborates with scholars based in Romania, France and Belgium. Laura Dioşan's co-authors include Mihai Oltean, Alexandrina Rogozan, Zoltán Bálint, Mihaela Hedeșiu, Oana Almășan, Reinhilde Jacobs, Cristian Dinu, Crina Groşan, Camelia Chira and Radu Mărginean and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Frontiers in Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Laura Dioşan i

Fields of papers citing papers by Laura Dioşan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Dioşan

Since Specialization
Citations

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