Vasile V. Moca

685 total citations · 1 hit paper
23 papers, 389 citations indexed

About

Vasile V. Moca is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vasile V. Moca has authored 23 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vasile V. Moca's work include Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Vasile V. Moca is often cited by papers focused on Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Vasile V. Moca collaborates with scholars based in Romania, Germany and United States. Vasile V. Moca's co-authors include Raul C. Mureșan, Harald Bârzan, Wolf Singer, Danko Nikolić, Ovidiu F. Jurjuţ, Lucía Melloni, Mária Ercsey-Ravasz, M Daunderer, Gordon Pipa and Bertram Scheller and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Vasile V. Moca

19 papers receiving 386 citations

Hit Papers

align trajectories

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.

Time-frequency super-resolution with superlets

2021 146 citations Vasile V. Moca, Harald Bârzan et al. Nature Communications profile →

Peers

Countries citing papers authored by Vasile V. Moca

Since Specialization

Citations

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

Fields of papers citing papers by Vasile V. Moca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vasile V. Moca. 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 Vasile V. Moca. The network helps show where Vasile V. Moca may publish in the future.

Co-authorship network of co-authors of Vasile V. Moca

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture 2024 ·Cell Systems ·(unknown), Vasile V. Moca, (unknown), (unknown), (unknown), (unknown), David Moratal, (unknown), Wolfgang H. Sommer, Raul C. Mureșan, Santiago Canals, Mária Ercsey-Ravasz	3
2	Randomness impacts the building of specific priors, visual exploration, and perception in object recognition 2024 ·Scientific Reports ·(unknown), (unknown), Vasile V. Moca, (unknown), (unknown), Marie L. Smith, Teodora Gliga, Raul C. Mureșan	1
3	The gamma rhythm as a guardian of brain health 2024 ·eLife ·(unknown), Harald Bârzan, Vasile V. Moca, (unknown), (unknown), (unknown), Koen Vervaeke, Raul C. Mureșan	3
4	Sharp detection of oscillation packets in rich time-frequency representations of neural signals 2023 ·Frontiers in Human Neuroscience ·(unknown), Harald Bârzan, (unknown), Raul C. Mureșan, Vasile V. Moca	2
5	Time-Frequency Representations of Brain Oscillations: Which One Is Better? 2022 ·Frontiers in Neuroinformatics ·Harald Bârzan, (unknown), Vasile V. Moca, Raul C. Mureșan	10
6	Local Field Potential Microstate Analysis 2022 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), (unknown), (unknown), Raul C. Mureșan, Vasile V. Moca, Mihaela Dînșoreanu, Rodica Potolea, Camelia Lemnaru	0
7	The fractal brain: scale-invariance in structure and dynamics 2022 ·Cerebral Cortex ·(unknown), (unknown), Vasile V. Moca, Harald Bârzan, (unknown), Mária Ercsey-Ravasz, (unknown), (unknown), Raul C. Mureșan	36
8	Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes 2022 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), (unknown), (unknown), Vasile V. Moca, Raul C. Mureșan, (unknown)	4
9	Time-frequency super-resolution with superlets breakdown → 2021 ·Nature Communications ·Vasile V. Moca, Harald Bârzan, (unknown), Raul C. Mureșan	146
10	A Generative Adversarial Approach for the Detection of Typical and Drowned Action Potentials 2021 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), (unknown), Rodica Potolea, Camelia Lemnaru, Mihaela Dînșoreanu, Vasile V. Moca, Raul C. Mureșan	0
11	Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks 2020 ·(unknown), (unknown), Camelia Lemnaru, Mihaela Dînșoreanu, Rodica Potolea, (unknown), Vasile V. Moca	3
12	Fractional Superlets 2020 ·Harald Bârzan, Vasile V. Moca, (unknown), Raul C. Mureșan	8
13	Space Breakdown Method A new approach for density-based clustering 2019 ·(unknown), (unknown), Mihaela Dînșoreanu, Rodica Potolea, Camelia Lemnaru, Vasile V. Moca	2
14	Membrane Resonance Enables Stable and Robust Gamma Oscillations 2012 ·Cerebral Cortex ·Vasile V. Moca, Danko Nikolić, Wolf Singer, Raul C. Mureșan	55
15	Visual Exploration and Object Recognition by Lattice Deformation 2011 ·PLoS ONE ·Vasile V. Moca, (unknown), Lucía Melloni, Raul C. Mureșan	19
16	Emergence of beta/gamma oscillations: ING, PING, and what about RING? 2011 ·BMC Neuroscience ·Vasile V. Moca, Raul C. Mureșan	4
17	EEG under anesthesia—Feature extraction with TESPAR 2009 ·Computer Methods and Programs in Biomedicine ·Vasile V. Moca, Bertram Scheller, Raul C. Mureșan, M Daunderer, Gordon Pipa	14
18	Probing the visual system with visual hypotheses 2009 ·BMC Neuroscience ·Raul C. Mureșan, (unknown), Vasile V. Moca, Lucía Melloni	1
19	Properties of multivariate data investigated by fractal dimensionality 2008 ·Journal of Neuroscience Methods ·Danko Nikolić, Vasile V. Moca, Wolf Singer, Raul C. Mureșan	9
20	The Oscillation Score: An Efficient Method for Estimating Oscillation Strength in Neuronal Activity 2007 ·Journal of Neurophysiology ·Raul C. Mureșan, Ovidiu F. Jurjuţ, Vasile V. Moca, Wolf Singer, Danko Nikolić	68

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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