Basarab Mateï

710 citations
51 papers · 423 · h-index 10

Impact in

Papers in

Basarab Mateï

45 papers receiving 399 citations

Peers

Basarab Mateï
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 209
  • Computational Mechanics 136
  • Applied Mathematics 62
  • Media Technology 51
  • Numerical Analysis 30
Replace Aissam Hadri with:
Aissam Hadri Morocco
Mourad Nachaoui Morocco
Ognyan Kounchev Bulgaria
Nicolas Papadakis France
Agnieszka Lisowska Poland
Minru Bai China
Caroline Chaux France
Soo-Chang Pei Taiwan
Hyenkyun Woo South Korea
Basarab Mateï relative to Aissam Hadri Morocco Aissam Hadri's profile →
Citations per field
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Aissam Hadri · 1×
Citations per year

Countries citing papers authored by Basarab Mateï

Since Specialization
Citations

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

Fields of papers citing papers by Basarab Mateï

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Basarab Mateï, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Basarab Mateï Line = papers co-authored together Basarab Mateï links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200384
2 200745
3 200238
4 201728
5 201024
6 200519
7 200919
8 200914
9 200813
10 200212
11 20189
12 20208
13 20187
14 20226
15 20046
16 20196
17 20165
18 20215
19 20045
20 20155

About Basarab Mateï

Basarab Mateï is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Applied Mathematics, having authored 51 papers that have together received 423 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (13 papers), Image and Signal Denoising Methods (11 papers), Face and Expression Recognition (10 papers), Advanced Image Processing Techniques (6 papers), Complex Network Analysis Techniques (6 papers), Mathematical Analysis and Transform Methods (6 papers), Quantum Computing Algorithms and Architecture (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Computational Mechanics (136 citations), Applied Mathematics (62 citations), Media Technology (51 citations) and Numerical Analysis (30 citations). Basarab Mateï has collaborated with scholars based in France, Spain and Israel. Frequent co-authors include Albert Cohen, Nira Dyn, Yves Meyer, Albert Cohen, Younès Bennani, Francesc Aràndiga, Nistor Grozavu, Rosa Donat, Guénaël Cabanès and Sylvain Meignen. Their work appears in journals such as Comptes Rendus Mathématique, Asymptotic Analysis, Pattern Recognition, Applied and Computational Harmonic Analysis and Journal of Visual Communication and Image Representation.

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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