Clara Casco

1.7k citations
77 papers · 1.4k · h-index 21

Impact in

Papers in

Clara Casco

77 papers receiving 1.4k citations

Peers

Clara Casco
Comparison fields: 5 of 86
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 286
  • Developmental and Educational Psychology 196
  • Statistics and Probability 113
  • Sensory Systems 50
Replace Maarten J. van der Smagt with:
Maarten J. van der Smagt Netherlands
Jason Fischer United States
Adriane E. Seiffert United States
Jochen Laubrock Germany
Manfred MacKeben United States
Bernhard Treutwein Germany
Alexander A. Petrov United States
Mark Jude Tramo United States
Mitchell Valdés-Sosa Cuba
Deborah Giaschi Canada
Clara Casco relative to Maarten J. van der Smagt Netherlands Maarten J. van der Smagt's profile →
Citations per field
00.5×3.0×
Maarten J. van der Smagt · 1×
Citations per year

Countries citing papers authored by Clara Casco

Since Specialization
Citations

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

Fields of papers citing papers by Clara Casco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Clara Casco, 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 Clara Casco Line = papers co-authored together Clara Casco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998135
2 2008114
3 199672
4 200764
5 201151
6 200948
7 201042
8 201337
9 201936
10 200534
11 201333
12 202032
13 201032
14 200729
15 200426
16 201225
17 198525
18 200923
19 201122
20 201421

About Clara Casco

Clara Casco is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Social Psychology, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (58 papers), Neural dynamics and brain function (27 papers), Neural and Behavioral Psychology Studies (24 papers), Multisensory perception and integration (13 papers), Tactile and Sensory Interactions (8 papers), Visual Attention and Saliency Detection (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Color perception and design (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (286 citations), Developmental and Educational Psychology (196 citations), Statistics and Probability (113 citations) and Sensory Systems (50 citations). Clara Casco has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Gianluca Campana, Andrea Pavan, Massimo Grassi, Patrizio Tressoldi, George Mather, Luca Battaglini, Marcello Maniglia, Luigi F. Cuturi, R.J. Watt and Michael J. Morgan. Their work appears in journals such as Vision Research, Perception, Neuropsychologia, Visual Cognition and Restorative Neurology and Neuroscience.

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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