Igor Juricevic

567 citations
30 papers · 377 · h-index 10

Impact in

Papers in

Igor Juricevic

28 papers receiving 357 citations

Peers

Igor Juricevic
Comparison fields: 5 of 71
  • Cognitive Neuroscience 292
  • Experimental and Cognitive Psychology 114
  • Sensory Systems 30
  • Social Psychology 114
  • Human-Computer Interaction 27
Replace Daniele Zavagno with:
Daniele Zavagno Italy
Patrick Cavanagh United States
Nobu Shirai Japan
Kayo Miura Japan
Kyriaki Mikellidou Italy
Tessa M. Dekker United Kingdom
Rossana Actis-Grosso Italy
Shui-I Shih United Kingdom
Cigdem P. Talgar United States
Matthew MacKisack United Kingdom
Igor Juricevic relative to Daniele Zavagno Italy Daniele Zavagno's profile →
Citations per field
00.5×1.5×2.3×
Daniele Zavagno · 1×
Citations per year

Countries citing papers authored by Igor Juricevic

Since Specialization
Citations

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

Fields of papers citing papers by Igor Juricevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Igor Juricevic, 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 Igor Juricevic Line = papers co-authored together Igor Juricevic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010124
2 200630
3 201029
4 200327
5 200624
6 200621
7 200920
8 201216
9 200513
10 200210
11 20089
12 20089
13 20178
14 20167
15 20086
16 20094
17 20223
18 20093
19 20092
20 20202

About Igor Juricevic

Igor Juricevic is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Social Psychology, having authored 30 papers that have together received 377 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (13 papers), Multisensory perception and integration (7 papers), Language, Metaphor, and Cognition (6 papers), Color Science and Applications (5 papers), Aesthetic Perception and Analysis (5 papers), Color perception and design (4 papers), Tactile and Sensory Interactions (4 papers) and Spatial Cognition and Navigation (3 papers). The work is most often cited by research in Cognitive Neuroscience (292 citations), Experimental and Cognitive Psychology (114 citations), Sensory Systems (30 citations), Social Psychology (114 citations) and Human-Computer Interaction (27 citations). Igor Juricevic has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John M. Kennedy, Arnold J. Wilkins, Raymond M. Klein, Sara J. Shettleworth, Brett M. Gibson, Jay Pratt, George Bebis, Israel Abramov, K. Mcdermott and Lesley Pek Wee Land. Their work appears in journals such as Perception, Journal of Vision, Psychology of Aesthetics Creativity and the Arts, Journal of Graphic Novels & Comics and Learning & Behavior.

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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