G. Gabrielle Starr

1.5k citations
27 papers · 739 indexed · h-index 11
Topics
Aesthetic Perception and Analysis (15 papers)Multisensory perception and integration (9 papers)Olfactory and Sensory Function Studies (7 papers)

In The Last Decade

G. Gabrielle Starr

23 papers receiving 680 citations

Peers

G. Gabrielle Starr
Comparison fields: 5 of 83
  • Cognitive Neuroscience 583
  • Experimental and Cognitive Psychology 390
  • Social Psychology 234
  • Sensory Systems 216
  • Visual Arts and Performing Arts 49
Replace Michael Forster with:
Michael Forster Austria
Patrick S. Markey Austria
Gernot Gerger Austria
Eva Specker Austria
Raphaël Rosenberg Austria
David Brieber Austria
Casey O’Callaghan United States
Jonathan Sammartino United States
Gisèle Marty Spain
Amy M. Belfi United States
G. Gabrielle Starr relative to Michael Forster Austria Michael Forster's profile →
Citations per field
00.5×1.5×
Michael Forster · 1×
Citations per year

Countries citing papers authored by G. Gabrielle Starr

Since Specialization
Citations

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

Fields of papers citing papers by G. Gabrielle Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Gabrielle Starr. 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 G. Gabrielle Starr. The network helps show where G. Gabrielle Starr may publish in the future.

Co-authorship network of co-authors of G. Gabrielle Starr

This figure shows the co-authorship network connecting the top 25 collaborators of G. Gabrielle Starr. A scholar is included among the top collaborators of G. Gabrielle Starr 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 G. Gabrielle Starr. G. Gabrielle Starr 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
#WorkIndexed citations
1 1
2 6
3 18
4 67
5 94
6 22
7 70
8 39
9 2
10 5
11 1
12 120
13 207
14 1
15 3
16 2
17 5
18 3
19 10
20 0

About G. Gabrielle Starr

G. Gabrielle Starr is a scholar working on Sensory Systems, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 27 papers that have together received 739 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (15 papers), Multisensory perception and integration (9 papers) and Olfactory and Sensory Function Studies (7 papers). The work is most often cited by research in Sensory Systems (216 citations), Cognitive Neuroscience (583 citations) and Experimental and Cognitive Psychology (390 citations). G. Gabrielle Starr has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Edward A. Vessel, Nava Rubin, Amy M. Belfi, Ayse Ilkay Isik, Jonathan L. Stahl, Denis G. Pelli, Anjan Chatterjee, Aenne Brielmann, Helmut Leder and John P. O’Doherty. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and NeuroImage.

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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