Radu Mutihac

28 papers receiving 348 citations

Peers

Radu Mutihac
Comparison fields: 5 of 84
  • Analytical Chemistry 55
  • Cognitive Neuroscience 98
  • Radiology, Nuclear Medicine and Imaging 102
  • Spectroscopy 81
  • Industrial and Manufacturing Engineering 23
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An Jiang China
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Countries citing papers authored by Radu Mutihac

Since Specialization
Citations

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

Fields of papers citing papers by Radu Mutihac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Radu Mutihac, 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 Radu Mutihac Line = papers co-authored together Radu Mutihac links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200881
2 201277
3 201360
4 200720
5 199916
6 199514
7 199413
8 200313
9 200112
10
Comparison of principal component analysis and indepedent component analysis for blind source separation
200410
11
A Comparative Survey on Adaptive Neural Network Algorithms for Independent Component Analysis
20037
12 20047
13 19984
14 20034
15 19984
16 20093
17 20092
18
Wavelet-based statistical analysis in functional neuroimaging
20062
19
MULTISCALE ANALYSIS OF THE HUMAN BRAIN CORTEX
20102
20 20082

About Radu Mutihac

Radu Mutihac is a scholar working on Artificial Intelligence, Signal Processing, Analytical Chemistry, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 30 papers that have together received 362 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (8 papers), Neural Networks and Applications (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Image and Signal Denoising Methods (6 papers), Molecular Sensors and Ion Detection (4 papers), Functional Brain Connectivity Studies (4 papers), Extraction and Separation Processes (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Analytical Chemistry (55 citations), Cognitive Neuroscience (98 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Spectroscopy (81 citations) and Industrial and Manufacturing Engineering (23 citations). Radu Mutihac has collaborated with scholars based in Romania, Italy and Germany. Frequent co-authors include Lucia Mutihac, Elena S. Ackley, Stefan Posse, Marc M. Van Hulle, Matthew S. Shane, Maxim Zaitsev, Cristina Murray‐Krezan, Oliver Speck, Jochen Rick and Hans‐Jürgen Buschmann. Their work appears in journals such as Frontiers in Human Neuroscience, Materials Science and Engineering C, NeuroImage, Analytica Chimica Acta and Separation Science and Technology.

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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