Asier Mujika

955 total citations
6 papers, 34 citations indexed

About

Asier Mujika is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Asier Mujika has authored 6 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Asier Mujika's work include Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Evolutionary Algorithms and Applications (2 papers). Asier Mujika is often cited by papers focused on Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Evolutionary Algorithms and Applications (2 papers). Asier Mujika collaborates with scholars based in Switzerland. Asier Mujika's co-authors include Angelika Steger, Florian Meier, Anders Martinsson and Johannes Lengler and has published in prestigious journals such as Theoretical Computer Science, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Asier Mujika

5 papers receiving 31 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asier Mujika Switzerland	4	24	6	6	4	4	6	34
Hidetaka Taniguchi Japan	3	19 0.8×	4 0.7×	4 0.7×	2 0.5×	5 1.3×	5	46
Ryo Kikuchi Japan	5	31 1.3×	3 0.5×	5 0.8×	2 0.5×	7 1.8×	10	38
Chiheb Trabelsi Canada	2	22 0.9×	9 1.5×	5 0.8×	3 0.8×		3	30
Huaxiong Wang Singapore	3	14 0.6×	3 0.5×	2 0.3×	2 0.5×	3 0.8×	3	16
K. V. Tsang United States	3	14 0.6×	12 2.0×	6 1.0×	7 1.8×		6	29
W. A. T. Wan Abdullah Malaysia	2	22 0.9×	5 0.8×	5 0.8×	1 0.3×	4 1.0×	3	35
Dragos Rotaru United Kingdom	4	29 1.2×	4 0.7×	11 1.8×		4 1.0×	4	37
Michaël Quisquater Belgium	3	10 0.4×	4 0.7×	2 0.3×	3 0.8×	3 0.8×	4	14
Łukasz Lew United States	2	27 1.1×	14 2.3×	8 1.3×	8 2.0×		3	39
Clare Lyle United Kingdom	4	24 1.0×	5 0.8×	3 0.5×		4 1.0×	9	32

Countries citing papers authored by Asier Mujika

Since Specialization

Citations

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

Fields of papers citing papers by Asier Mujika

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asier Mujika

This figure shows the co-authorship network connecting the top 25 collaborators of Asier Mujika. A scholar is included among the top collaborators of Asier Mujika 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 Asier Mujika. Asier Mujika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Mujika, Asier, et al.. (2022). Open-Ended Reinforcement Learning with Neural Reward Functions. 2465–2479.

2.

Mujika, Asier, et al.. (2019). Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning. arXiv (Cornell University). 604–613. 3 indexed citations

3.

Lengler, Johannes, et al.. (2019). The linear hidden subset problem for the (1 + 1) EA with scheduled and adaptive mutation rates. Theoretical Computer Science. 785. 150–170. 8 indexed citations

4.

Mujika, Asier, Florian Meier, & Angelika Steger. (2018). Approximating Real-Time Recurrent Learning with Random Kronecker Factors. arXiv (Cornell University). 31. 6594–6603. 5 indexed citations

5.

Lengler, Johannes, et al.. (2018). The linear hidden subset problem for the (1 + 1) EA with scheduled and adaptive mutation rates. Proceedings of the Genetic and Evolutionary Computation Conference. 1491–1498. 1 indexed citations

6.

Mujika, Asier, Florian Meier, & Angelika Steger. (2017). Fast-Slow Recurrent Neural Networks. Neural Information Processing Systems. 30. 5915–5924. 17 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.

Explore authors with similar magnitude of impact