Catherine Barsics

804 citations
17 papers · 596 · h-index 13

Impact in

Papers in

Catherine Barsics

17 papers receiving 577 citations

Peers

Catherine Barsics
Comparison fields: 5 of 70
  • Experimental and Cognitive Psychology 236
  • Cognitive Neuroscience 246
  • Neuropsychology and Physiological Psychology 15
  • Applied Psychology 43
  • Insect Science 98
Replace Lily FitzGibbon with:
Lily FitzGibbon United Kingdom
Enrique Pérez Spain
Annika Smit Netherlands
Eleanor K. Hanna United States
Benjamin Buttlar Germany
Pilleriin Sikka Finland
Bryan D. Poole United States
Daniel Barratt Denmark
Courtney L. Brown United States
Alberto Acosta Spain
Catherine Barsics relative to Lily FitzGibbon United Kingdom Lily FitzGibbon's profile →
Citations per field
00.5×5.6×
Lily FitzGibbon · 1×
Citations per year

Countries citing papers authored by Catherine Barsics

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Barsics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Catherine Barsics, 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 Catherine Barsics Line = papers co-authored together Catherine Barsics links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017110
2 2015103
3 201755
4 201648
5 201647
6 201538
7 200935
8 201434
9 201031
10 201228
11 201215
12 201614
13 201712
14 201212
15 201710
16 20223
17 20181

About Catherine Barsics

Catherine Barsics is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Clinical Psychology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 596 indexed citations. Recurring topics across this work include Face Recognition and Perception (7 papers), Psychological and Temporal Perspectives Research (5 papers), Perfectionism, Procrastination, Anxiety Studies (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Memory Processes and Influences (3 papers), Deception detection and forensic psychology (3 papers), Visual Attention and Saliency Detection (3 papers) and Behavioral Health and Interventions (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (236 citations), Cognitive Neuroscience (246 citations), Neuropsychology and Physiological Psychology (15 citations), Applied Psychology (43 citations) and Insect Science (98 citations). Catherine Barsics has collaborated with scholars based in Belgium, Switzerland and France. Frequent co-authors include Martial Van der Linden, Serge Brédart, Arnaud D’Argembeau, Marie My Lien Rebetez, Lucien Rochat, Yves Brostaux, Christophe Blecker, Rudy Caparros Megido, Éric Haubruge and Frédéric Francis. Their work appears in journals such as Memory, Consciousness and Cognition, European Journal of Pain, Quarterly Journal of Experimental Psychology and British Food Journal.

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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