Sorin Moga

13 papers and 178 indexed citations i.

About

Sorin Moga is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Sorin Moga has authored 13 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Sorin Moga’s work include Image and Signal Denoising Methods (4 papers), Neural Networks and Applications (3 papers) and Advanced Image Fusion Techniques (3 papers). Sorin Moga is often cited by papers focused on Image and Signal Denoising Methods (4 papers), Neural Networks and Applications (3 papers) and Advanced Image Fusion Techniques (3 papers). Sorin Moga collaborates with scholars based in France, Romania and Germany. Sorin Moga's co-authors include Philippe Gaussier, J.P. Banquet, Mathias Quoy, J. Nadel, Pierre Andry, Alexandru Isar, Philippe Lenca, Cristina Stolojescu-Crisan, Xia Mao and Cătălin Daniel Căleanu and has published in prestigious journals such as Knowledge-Based Systems, Pattern Recognition Letters and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

Co-authorship network of co-authors of Sorin Moga i

Fields of papers citing papers by Sorin Moga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sorin Moga

Since Specialization
Citations

This map shows the geographic impact of Sorin Moga'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 Sorin Moga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sorin Moga 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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2025