Raluca Moucha

561 total citations
10 papers, 454 citations indexed

About

Raluca Moucha is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Raluca Moucha has authored 10 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Raluca Moucha's work include Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (4 papers) and Neuroscience and Music Perception (3 papers). Raluca Moucha is often cited by papers focused on Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (4 papers) and Neuroscience and Music Perception (3 papers). Raluca Moucha collaborates with scholars based in United States and France. Raluca Moucha's co-authors include Michael P. Kilgard, Pritesh K. Pandya, Navzer D. Engineer, Daniel L. Rathbun, Weiwei Dai, Amanda Reed, Vikram Jakkamsetti and Crystal T. Engineer and has published in prestigious journals such as Journal of Neurophysiology, Neuroscience and Cerebral Cortex.

In The Last Decade

Raluca Moucha

10 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raluca Moucha United States	10	356	129	95	51	40	10	454
Pritesh K. Pandya United States	12	508 1.4×	180 1.4×	139 1.5×	58 1.1×	51 1.3×	14	604
Todd M. Mowery United States	13	364 1.0×	249 1.9×	98 1.0×	81 1.6×	21 0.5×	38	575
Lavi Secundo Israel	13	358 1.0×	171 1.3×	263 2.8×	33 0.6×	55 1.4×	15	701
Narumi Katsuyama Japan	12	313 0.9×	149 1.2×	43 0.5×	20 0.4×	39 1.0×	29	442
Ines Goerendt United Kingdom	8	300 0.8×	137 1.1×	51 0.5×	49 1.0×	23 0.6×	10	556
P. Müller-Preuß Germany	10	372 1.0×	132 1.0×	60 0.6×	80 1.6×	129 3.2×	17	714
Jeanette Schadow Germany	16	671 1.9×	125 1.0×	37 0.4×	14 0.3×	30 0.8×	19	722
Timothy M. Woods United States	11	398 1.1×	156 1.2×	57 0.6×	171 3.4×	39 1.0×	12	584
Ryan P. Mears United States	8	264 0.7×	89 0.7×	52 0.5×	34 0.7×	30 0.8×	10	366
Tolgay Ergenoğlu Türkiye	8	685 1.9×	109 0.8×	45 0.5×	30 0.6×	66 1.6×	9	791

Countries citing papers authored by Raluca Moucha

Since Specialization

Citations

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

Fields of papers citing papers by Raluca Moucha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raluca Moucha

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

All Works

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10 of 10 papers shown

Engineer, Crystal T., Amanda Reed, Pritesh K. Pandya, et al.. (2012). Inverted-U function relating cortical plasticity and task difficulty. Neuroscience. 205. 81–90. 18 indexed citations

Pandya, Pritesh K., et al.. (2007). Plasticity in the Rat Posterior Auditory Field Following Nucleus Basalis Stimulation. Journal of Neurophysiology. 98(1). 253–265. 45 indexed citations

Pandya, Pritesh K., Daniel L. Rathbun, Raluca Moucha, Navzer D. Engineer, & Michael P. Kilgard. (2007). Spectral and Temporal Processing in Rat Posterior Auditory Cortex. Cerebral Cortex. 18(2). 301–314. 33 indexed citations

Moucha, Raluca & Michael P. Kilgard. (2006). Cortical plasticity and rehabilitation. Progress in brain research. 157. 111–389. 45 indexed citations

Engineer, Navzer D., et al.. (2005). Environmental Enrichment Increases Paired-Pulse Depression in Rat Auditory Cortex. Journal of Neurophysiology. 94(5). 3590–3600. 45 indexed citations

Moucha, Raluca, Pritesh K. Pandya, Navzer D. Engineer, Daniel L. Rathbun, & Michael P. Kilgard. (2004). Background sounds contribute to spectrotemporal plasticity in primary auditory cortex. Experimental Brain Research. 162(4). 417–427. 22 indexed citations

Engineer, Navzer D., et al.. (2004). Environmental Enrichment Improves Response Strength, Threshold, Selectivity, and Latency of Auditory Cortex Neurons. Journal of Neurophysiology. 92(1). 73–82. 161 indexed citations

Pandya, Pritesh K., et al.. (2004). Asynchronous inputs alter excitability, spike timing, and topography in primary auditory cortex. Hearing Research. 203(1-2). 10–20. 18 indexed citations

Kilgard, Michael P., Pritesh K. Pandya, Navzer D. Engineer, & Raluca Moucha. (2002). Cortical network reorganization guided by sensory input features. Biological Cybernetics. 87(5-6). 333–343. 49 indexed citations

10.

Kilgard, Michael P., et al.. (2001). Spectral Features Control Temporal Plasticity in Auditory Cortex. Audiology and Neurotology. 6(4). 196–202. 18 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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