Oumar Niang

About

Oumar Niang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Oumar Niang has authored 11 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Control and Systems Engineering and 4 papers in Civil and Structural Engineering. Recurrent topics in Oumar Niang’s work include Machine Fault Diagnosis Techniques (6 papers), Image and Signal Denoising Methods (6 papers) and Structural Health Monitoring Techniques (4 papers). Oumar Niang is often cited by papers focused on Machine Fault Diagnosis Techniques (6 papers), Image and Signal Denoising Methods (6 papers) and Structural Health Monitoring Techniques (4 papers). Oumar Niang collaborates with scholars based in France and Senegal. Oumar Niang's co-authors include Éric Deléchelle, Jean‐Claude Nunes, Y. Bouaoune, P. Bunel and Jacques Lemoine and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Signal Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Oumar Niang i

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Fields of papers citing papers by Oumar Niang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Oumar Niang

Since Specialization

Citations

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