Jan Benner

561 citations
16 papers · 375 · h-index 13

Impact in

  • Music top 2%
    • Diverse Music Education Insights
    • Neuroscience and Music Perception
    • Hearing Loss and Rehabilitation
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies

Papers in

    • Neuroscience and Music Perception 11
    • Hearing Loss and Rehabilitation 7
    • Neural dynamics and brain function 3
    • Functional Brain Connectivity Studies 2
    • Diverse Music Education Insights 3

Jan Benner

16 papers receiving 353 citations

Peers

Jan Benner
Comparison fields: 5 of 54
  • Music 50
  • Cognitive Neuroscience 214
  • Insect Science 67
  • Sensory Systems 16
  • Developmental and Educational Psychology 44
Replace Kuan‐Hua Chen with:
Kuan‐Hua Chen United States
Léonardo Ceravolo Switzerland
Jan van Doorn Sweden
Dânae Longo Brazil
Tina C. Roeske Germany
Carla Dance United Kingdom
Christina M. Thorpe Canada
Mario Pannunzi Spain
HaDi MaBouDi United Kingdom
Jérémie Jozefowiez France
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Citations per field
00.5×2×4×6.3×
Kuan‐Hua Chen · 1×
Citations per year

Countries citing papers authored by Jan Benner

Since Specialization
Citations

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

Fields of papers citing papers by Jan Benner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Benner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Benner Line = papers co-authored together Jan Benner links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201673
2 201747
3 197639
4 198234
5 201832
6 202024
7 201819
8 202318
9 202216
10 202215
11 202214
12 197614
13 202213
14 202310
15 20214
16 20233

About Jan Benner

Jan Benner is a scholar working on Cognitive Neuroscience, Music, Insect Science, Developmental and Educational Psychology and Signal Processing, having authored 16 papers that have together received 375 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (11 papers), Hearing Loss and Rehabilitation (7 papers), Reading and Literacy Development (3 papers), Diverse Music Education Insights (3 papers), Neural dynamics and brain function (3 papers), Functional Brain Connectivity Studies (2 papers), Insect behavior and control techniques (2 papers) and Insect Pheromone Research and Control (2 papers). The work is most often cited by research in Music (50 citations), Cognitive Neuroscience (214 citations), Insect Science (67 citations), Sensory Systems (16 citations) and Developmental and Educational Psychology (44 citations). Jan Benner has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Peter T. Schneider, Maria Blatow, Martina Wengenroth, Annemarie Seither‐Preisler, Markus Christiner, Julia Reinhardt, Christoph Stippich, Julia C. Webb, Jennifer L. Sharp and Derrell L. Chambers. Their work appears in journals such as Annals of the Entomological Society of America, Journal of Experimental Biology, Brain Structure and Function, Cerebral Cortex and Human Brain Mapping.

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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