Julia Krebs

829 total citations
31 papers, 602 citations indexed

About

Julia Krebs is a scholar working on Developmental and Educational Psychology, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Julia Krebs has authored 31 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Developmental and Educational Psychology, 15 papers in Human-Computer Interaction and 10 papers in Cognitive Neuroscience. Recurrent topics in Julia Krebs's work include Hearing Impairment and Communication (20 papers), Hand Gesture Recognition Systems (15 papers) and Language, Metaphor, and Cognition (6 papers). Julia Krebs is often cited by papers focused on Hearing Impairment and Communication (20 papers), Hand Gesture Recognition Systems (15 papers) and Language, Metaphor, and Cognition (6 papers). Julia Krebs collaborates with scholars based in United States, Austria and Germany. Julia Krebs's co-authors include Klaus Fabel, Gerd Kempermann, Christian Cajochen, Thomas Götz, Roland Steiner, Peter Oelhafen, Dieter Lang, Sarah L. Chellappa, Ronnie Β. Wilbur and Dietmar Roehm and has published in prestigious journals such as Annals of Neurology, Brain Research and Cerebral Cortex.

In The Last Decade

Julia Krebs

29 papers receiving 595 citations

Peers

Julia Krebs
Comparison fields: 5 of 92
  • Cognitive Neuroscience 179
  • Endocrine and Autonomic Systems 165
  • Experimental and Cognitive Psychology 159
  • Developmental Neuroscience 136
  • Cellular and Molecular Neuroscience 95
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Citations per field, relative to Julia Krebs
Julia Krebs · 1×
Citations per year, relative to Julia Krebs
Julia Krebs · 1×

Countries citing papers authored by Julia Krebs

Since Specialization
Citations

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

Fields of papers citing papers by Julia Krebs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Krebs

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 3
5 2
6 2
7 2
8
Application of machine learning to signal entrainment identifies predictive processing in sign language.
1
9
Event visibility in sign language motion: Evidence from Austrian Sign Language (ÖGS)
1
10 5
11 4
12 1
13 13
14 17
15 11
16 7
17 23
18 20
19 36
20 190

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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