Raul C. Mureșan
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Vasile V. MocaWolf SingerDanko NikolićHarald BârzanWeijia FengCristina SavinMihaela DînșoreanuOvidiu F. Jurjuţ
- Topics
- Neural dynamics and brain function (36 papers)Neuroscience and Neural Engineering (14 papers)EEG and Brain-Computer Interfaces (10 papers)
- Partner nations
- RomaniaGermanyUnited States
In The Last Decade
Raul C. Mureșan
43 papers receiving 753 citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cognitive Neuroscience 398
- Cellular and Molecular Neuroscience 212
- Electrical and Electronic Engineering 82
- Artificial Intelligence 79
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Raul C. Mureșan
This map shows the geographic impact of Raul C. Mureșan'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 Raul C. Mureșan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raul C. Mureșan more than expected).
Fields of papers citing papers by Raul C. Mureșan
This network shows the impact of papers produced by Raul C. Mureșan. 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 Raul C. Mureșan. The network helps show where Raul C. Mureșan may publish in the future.
Co-authorship network of co-authors of Raul C. Mureșan
This figure shows the co-authorship network connecting the top 25 collaborators of Raul C. Mureșan. A scholar is included among the top collaborators of Raul C. Mureșan 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 Raul C. Mureșan. Raul C. Mureșan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | Time-frequency super-resolution with superletsbreakdown → | 146 |
| 11 | 4 | |
| 12 | 38 | |
| 13 | 55 | |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 9 | |
| 17 | 68 | |
| 18 | 39 | |
| 19 | Coherence, Memory and Conditioning | 1 |
| 20 | The "Neocortex" Neural Simulator. A Modern Design. | 11 |
About Raul C. Mureșan
Raul C. Mureșan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Acoustics and Ultrasonics, having authored 51 papers that have together received 780 indexed citations. Recurring topics across this work include Neural dynamics and brain function (36 papers), Neuroscience and Neural Engineering (14 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Cognitive Neuroscience (398 citations), Cellular and Molecular Neuroscience (212 citations) and Signal Processing (55 citations). Raul C. Mureșan has collaborated with scholars based in Romania, Germany and United States. Frequent co-authors include Vasile V. Moca, Wolf Singer, Danko Nikolić, Harald Bârzan, Weijia Feng, Cristina Savin, Mihaela Dînșoreanu, Ovidiu F. Jurjuţ, Lucía Melloni and Gordon Pipa. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Neurophysiology.
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.