Serban Meza

26 papers and 176 indexed citations i.

About

Serban Meza is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Serban Meza has authored 26 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Serban Meza’s work include Remote-Sensing Image Classification (5 papers), Image Retrieval and Classification Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Serban Meza is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Image Retrieval and Classification Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Serban Meza collaborates with scholars based in Romania, Ireland and Senegal. Serban Meza's co-authors include Romulus Terebeş, Máirtín O’Droma, Gabriela Trifan, Aurel Vlaicu, Christian Germain and Monica Borda and has published in prestigious journals such as IEEE Access, Remote Sensing and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Serban Meza i

Fields of papers citing papers by Serban Meza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Serban Meza

Since Specialization
Citations

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