C. Alejandro Párraga

43 papers receiving 2.1k citations

Hit Papers

Using digital photography to study animal coloration20072026201320192007100200300400500

Peers

C. Alejandro Párraga
Comparison fields: 5 of 117
  • Ecology, Evolution, Behavior and Systematics 826
  • Computer Vision and Pattern Recognition 613
  • Cognitive Neuroscience 576
  • Social Psychology 417
  • Atomic and Molecular Physics, and Optics 312
Replace Roland Baddeley with:
Roland Baddeley United Kingdom
Nicholas E. Scott‐Samuel United Kingdom
Chuan‐Chin Chiao Taiwan
Charles Chubb United States
Françoise Viénot France
Shaowu Zhang Australia
Barrie J. Frost Canada
M. F. Land United Kingdom
Jochen Zeil Australia
Jenny C. A. Read United Kingdom
C. Alejandro Párraga relative to Roland Baddeley United Kingdom Roland Baddeley's profile →
Citations per field
00.5×3.9×
Roland Baddeley · 1×
Citations per year

Countries citing papers authored by C. Alejandro Párraga

Since Specialization
Citations

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

Fields of papers citing papers by C. Alejandro Párraga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Alejandro Párraga. 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 C. Alejandro Párraga. The network helps show where C. Alejandro Párraga may publish in the future.

Co-authorship network of co-authors of C. Alejandro Párraga

This figure shows the co-authorship network connecting the top 25 collaborators of C. Alejandro Párraga. A scholar is included among the top collaborators of C. Alejandro Párraga 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 C. Alejandro Párraga. C. Alejandro Párraga 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 20
2 26
3 37
4 38
5 55
6 20
7 15
8 27
9 11
10 35
11 1
12 52
13 41
14 442
15
Natural illumination, shadows and primate colour vision
4
16 4
17 111
18
A computational model predicts discrimination thresholds for morphed objects in natural scenes
1
19 2
20
Hpyer-spectral camera system:-acquisition and analysis.
1

About C. Alejandro Párraga

C. Alejandro Párraga is a scholar working on Cognitive Neuroscience, Sensory Systems and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (30 papers), Color Science and Applications (21 papers) and Color perception and design (15 papers). The work is most often cited by research in Sensory Systems (283 citations), Ecology, Evolution, Behavior and Systematics (826 citations) and Computer Vision and Pattern Recognition (613 citations). C. Alejandro Párraga has collaborated with scholars based in Spain, United Kingdom and Switzerland. Frequent co-authors include Martin Stevens, Innes C. Cuthill, Tom S. Troscianko, T. Troscianko, Julian C. Partridge, D.J. Tolhurst, Xavier Otazu, María Vanrell, Naila Murray and Arash Akbarinia. Their work appears in journals such as Nature, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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2026