Alejandro Lleras

3.6k citations
92 papers · 2.4k indexed · h-index 24

Alejandro Lleras

87 papers receiving 2.4k citations

Peers

Alejandro Lleras
Comparison fields: 5 of 119
  • Cognitive Neuroscience 1.9k
  • Experimental and Cognitive Psychology 557
  • Sensory Systems 102
  • Human-Computer Interaction 111
  • General Decision Sciences 37
Replace Derrick G. Watson with:
Derrick G. Watson United Kingdom
Brad Wyble United States
Julie D. Golomb United States
Gernot Horstmann Germany
Yei‐Yu Yeh Taiwan
Daniël Schreij Netherlands
Jan W. de Fockert United Kingdom
Michael Zehetleitner Germany
Alexandra Frischen Canada
Jun‐ichiro Kawahara Japan
Alejandro Lleras relative to Derrick G. Watson United Kingdom Derrick G. Watson's profile →
Citations per field
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Derrick G. Watson · 1×
Citations per year

Countries citing papers authored by Alejandro Lleras

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Lleras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20232
4 20229
5 20215
6 20217
7 20206
8 202013
9 201810
10 20161
11 20140
12 201415
13 20146
14 2012167
15 201228
16 201240
17 2011370
18 20102
19 20106
20 200923

About Alejandro Lleras

Alejandro Lleras is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Human-Computer Interaction and Information Systems and Management, having authored 92 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (59 papers), Visual perception and processing mechanisms (56 papers), Neural dynamics and brain function (17 papers), Visual Attention and Saliency Detection (16 papers), Multisensory perception and integration (12 papers), Face Recognition and Perception (7 papers), Visual and Cognitive Learning Processes (5 papers) and Personal Information Management and User Behavior (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Experimental and Cognitive Psychology (557 citations), Sensory Systems (102 citations), Human-Computer Interaction (111 citations) and General Decision Sciences (37 citations). Alejandro Lleras has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Laura E. Thomas, Diane M. Beck, Monica Fabiani, Gabriele Gratton, Kyle E. Mathewson, Cathleen M. Moore, James T. Enns, Simona Buetti, Atsunori Ariga and Tayana Panova. Their work appears in journals such as Journal of Vision, Attention Perception & Psychophysics, Journal of Experimental Psychology Human Perception & Performance, Psychonomic Bulletin & Review and Scientific Reports.

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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