Filip Mulier

2.7k total citations · 1 hit paper
10 papers, 1.9k citations indexed

About

Filip Mulier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Filip Mulier has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Filip Mulier's work include Neural Networks and Applications (7 papers), Face and Expression Recognition (3 papers) and Image and Signal Denoising Methods (1 paper). Filip Mulier is often cited by papers focused on Neural Networks and Applications (7 papers), Face and Expression Recognition (3 papers) and Image and Signal Denoising Methods (1 paper). Filip Mulier collaborates with scholars based in United States. Filip Mulier's co-authors include Vladimir Cherkassky, Vladimir Vapnik, Xuhui Shao and Yong Soo Kim and has published in prestigious journals such as Neural Computation, Neural Networks and IEEE Transactions on Neural Networks.

In The Last Decade

Filip Mulier

10 papers receiving 1.8k citations

Hit Papers

Learning from Data: Concepts, Theory, and Methods 1998 2026 2007 2016 1998 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning from Data: Concepts, Theory, and Methods
    1998 924 citations Vladimir Cherkassky, Filip Mulier CERN Document Server (European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Filip Mulier United States 8 906 390 279 190 152 10 1.9k
Richard Maclin United States 13 1.6k 1.7× 519 1.3× 144 0.5× 184 1.0× 163 1.1× 29 2.7k
Fabrice Rossi France 17 685 0.8× 365 0.9× 183 0.7× 182 1.0× 218 1.4× 79 2.1k
Masoud Nikravesh United States 18 947 1.0× 430 1.1× 238 0.9× 165 0.9× 70 0.5× 58 2.2k
Michael Gray United States 4 768 0.8× 520 1.3× 137 0.5× 171 0.9× 134 0.9× 5 1.9k
Donald Gustafson United States 13 1.3k 1.5× 534 1.4× 511 1.8× 281 1.5× 156 1.0× 43 2.3k
David W. Opitz United States 10 1.6k 1.8× 592 1.5× 132 0.5× 214 1.1× 180 1.2× 23 3.1k
Markus Svensén United Kingdom 12 756 0.8× 527 1.4× 327 1.2× 297 1.6× 74 0.5× 16 2.1k
Věra Kůrková Czechia 21 937 1.0× 315 0.8× 340 1.2× 112 0.6× 136 0.9× 66 1.7k
Stéphane Canu France 28 1.1k 1.2× 1.1k 2.7× 191 0.7× 182 1.0× 112 0.7× 93 2.7k
Carlos J. Alonso Spain 12 911 1.0× 369 0.9× 234 0.8× 300 1.6× 84 0.6× 47 1.9k

Countries citing papers authored by Filip Mulier

Since Specialization
Citations

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

Fields of papers citing papers by Filip Mulier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Mulier

This figure shows the co-authorship network connecting the top 25 collaborators of Filip Mulier. A scholar is included among the top collaborators of Filip Mulier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Filip Mulier. Filip Mulier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Cherkassky, Vladimir & Filip Mulier. (2006). Learning from Data. 335 indexed citations
2.
Mulier, Filip & Vladimir Cherkassky. (2002). Learning rate schedules for self-organizing maps. 2. 224–228. 8 indexed citations
3.
Cherkassky, Vladimir, Xuhui Shao, Filip Mulier, & Vladimir Vapnik. (1999). Model complexity control for regression using VC generalization bounds. IEEE Transactions on Neural Networks. 10(5). 1075–1089. 148 indexed citations
4.
Cherkassky, Vladimir & Filip Mulier. (1998). Learning from Data: Concepts, Theory, and Methods. CERN Document Server (European Organization for Nuclear Research). 924 indexed citations breakdown →
5.
Cherkassky, Vladimir & Filip Mulier. (1998). Learning from data. 254 indexed citations
6.
Cherkassky, Vladimir, Yong Soo Kim, & Filip Mulier. (1997). Constrained Topological Maps for Regression and Classification.. 330–333. 2 indexed citations
7.
Cherkassky, Vladimir, et al.. (1996). Comparison of adaptive methods for function estimation from samples. IEEE Transactions on Neural Networks. 7(4). 969–984. 126 indexed citations
8.
Mulier, Filip & Vladimir Cherkassky. (1995). Statistical analysis of self-organization. Neural Networks. 8(5). 717–727. 21 indexed citations
9.
Mulier, Filip & Vladimir Cherkassky. (1995). Self-Organization as an Iterative Kernel Smoothing Process. Neural Computation. 7(6). 1165–1177. 88 indexed citations
10.
Cherkassky, Vladimir & Filip Mulier. (1992). Conventional and neural network approaches to regression. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1709. 840–840. 1 indexed citations

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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Breakdown of academic impact, for papers by Richard Maclin Breakdown of academic impact, for papers by Fabrice Rossi Breakdown of academic impact, for papers by Masoud Nikravesh Breakdown of academic impact, for papers by Michael Gray Breakdown of academic impact, for papers by Donald Gustafson Breakdown of academic impact, for papers by David W. Opitz Breakdown of academic impact, for papers by Markus Svensén Breakdown of academic impact, for papers by Věra Kůrková Breakdown of academic impact, for papers by Stéphane Canu Breakdown of academic impact, for papers by Carlos J. Alonso
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