Julia Erb

561 total citations
13 papers, 359 citations indexed

About

Julia Erb is a scholar working on Cognitive Neuroscience, Speech and Hearing and Artificial Intelligence. According to data from OpenAlex, Julia Erb has authored 13 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 2 papers in Speech and Hearing and 2 papers in Artificial Intelligence. Recurrent topics in Julia Erb's work include Hearing Loss and Rehabilitation (10 papers), Neuroscience and Music Perception (8 papers) and Neural dynamics and brain function (3 papers). Julia Erb is often cited by papers focused on Hearing Loss and Rehabilitation (10 papers), Neuroscience and Music Perception (8 papers) and Neural dynamics and brain function (3 papers). Julia Erb collaborates with scholars based in Germany, Netherlands and Belgium. Julia Erb's co-authors include Jonas Obleser, Molly J. Henry, Frank Eisner, Sarah Tune, Jens Kreitewolf, Gesa Hartwigsen, Wim Vanduffel, Marcelo Armendáriz, Federico De Martino and Elia Formisano and has published in prestigious journals such as Journal of Neuroscience, Science Advances and Cerebral Cortex.

In The Last Decade

Julia Erb

13 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Erb Germany 8 332 120 52 51 40 13 359
Johahn Leung Australia 11 376 1.1× 165 1.4× 60 1.2× 78 1.5× 20 0.5× 19 436
Jonathan H. Venezia United States 12 362 1.1× 217 1.8× 51 1.0× 26 0.5× 59 1.5× 26 428
Talar Hopyan Canada 8 237 0.7× 73 0.6× 45 0.9× 72 1.4× 48 1.2× 12 311
Chad S. Rogers United States 11 298 0.9× 127 1.1× 27 0.5× 79 1.5× 74 1.9× 16 334
Anna Wilsch Germany 9 525 1.6× 117 1.0× 23 0.4× 64 1.3× 23 0.6× 11 543
Tess K. Koerner United States 10 282 0.8× 85 0.7× 64 1.2× 74 1.5× 72 1.8× 24 339
Maren Stropahl Germany 10 446 1.3× 217 1.8× 142 2.7× 139 2.7× 50 1.3× 12 523
Léo Varnet France 13 353 1.1× 72 0.6× 70 1.3× 112 2.2× 38 0.9× 30 419
Christopher W. Bishop United States 9 328 1.0× 175 1.5× 58 1.1× 43 0.8× 20 0.5× 13 354
Julie Eyles United Kingdom 6 288 0.9× 75 0.6× 95 1.8× 48 0.9× 35 0.9× 7 299

Countries citing papers authored by Julia Erb

Since Specialization
Citations

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

Fields of papers citing papers by Julia Erb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Erb

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

All Works

13 of 13 papers shown
1.
Erb, Julia, et al.. (2021). Predicting speech from a cortical hierarchy of event-based time scales. Science Advances. 7(49). eabi6070–eabi6070. 24 indexed citations
2.
Wöstmann, Malte, Julia Erb, Jens Kreitewolf, & Jonas Obleser. (2021). Personality captures dissociations of subjective versus objective hearing in noise. Royal Society Open Science. 8(11). 210881–210881. 7 indexed citations
3.
Erb, Julia, Jens Kreitewolf, Ana P. Pinheiro, & Jonas Obleser. (2020). Aberrant Perceptual Judgments on Speech-Relevant Acoustic Features in Hallucination-Prone Individuals. Schizophrenia Bulletin Open. 1(1). 9 indexed citations
4.
Erb, Julia, et al.. (2020). Temporal selectivity declines in the aging human auditory cortex. eLife. 9. 17 indexed citations
6.
Erb, Julia, Marcelo Armendáriz, Federico De Martino, et al.. (2018). Homology and Specificity of Natural Sound-Encoding in Human and Monkey Auditory Cortex. Cerebral Cortex. 29(9). 3636–3650. 17 indexed citations
7.
Erb, Julia, et al.. (2018). Temporal Sensitivity Measured Shortly After Cochlear Implantation Predicts 6-Month Speech Recognition Outcome. Ear and Hearing. 40(1). 27–33. 7 indexed citations
8.
Erb, Julia. (2014). The neural dynamics of perceptual adaptation to degraded speech. Max Planck Digital Library. 1 indexed citations
9.
Scharinger, Mathias, Molly J. Henry, Julia Erb, Lars Meyer, & Jonas Obleser. (2013). Thalamic and parietal brain morphology predicts auditory category learning. Neuropsychologia. 53. 75–83. 5 indexed citations
10.
Erb, Julia & Jonas Obleser. (2013). Upregulation of cognitive control networks in older adults’ speech comprehension. Frontiers in Systems Neuroscience. 7. 116–116. 97 indexed citations
11.
Erb, Julia, Molly J. Henry, Frank Eisner, & Jonas Obleser. (2013). The Brain Dynamics of Rapid Perceptual Adaptation to Adverse Listening Conditions. Journal of Neuroscience. 33(26). 10688–10697. 122 indexed citations
12.
Erb, Julia, Molly J. Henry, Frank Eisner, & Jonas Obleser. (2012). Auditory skills and brain morphology predict individual differences in adaptation to degraded speech. Neuropsychologia. 50(9). 2154–2164. 47 indexed citations
13.
Pascual–Leone, A., Julian Paul Keenan, Josep M. Tormos, et al.. (1998). Repetitive transcranial magnetic stimulation trials in depression. European Neuropsychopharmacology. 8. S123–S124. 5 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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