Véronique Malaisé

11 papers and 240 indexed citations i.

About

Véronique Malaisé is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Véronique Malaisé has authored 11 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Véronique Malaisé’s work include Data Management and Algorithms (4 papers), Semantic Web and Ontologies (4 papers) and Video Analysis and Summarization (3 papers). Véronique Malaisé is often cited by papers focused on Data Management and Algorithms (4 papers), Semantic Web and Ontologies (4 papers) and Video Analysis and Summarization (3 papers). Véronique Malaisé collaborates with scholars based in The Netherlands and Germany. Véronique Malaisé's co-authors include Willem Robert van Hage, Guus Schreiber, Laura Hollink, Roxane Segers, Moataz Assem, A.T. Schreiber, Niels Willems, Pierre Zweigenbaum, Bruno Bachimont and Maarten W. van Someren and has published in prestigious journals such as International Journal of Geographical Information Science, Lecture notes in computer science and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Véronique Malaisé i

Fields of papers citing papers by Véronique Malaisé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Véronique Malaisé

Since Specialization
Citations

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