Sam Ling

3.8k citations
50 papers · 2.4k indexed · 2 hit papers · h-index 17

Sam Ling

45 papers receiving 2.3k citations

Hit Papers

Emotion Facilitates Perception and Potentiates the Percep...5842004202620112018200400600

Peers

Sam Ling
Comparison fields: 5 of 106
  • Cognitive Neuroscience 2.1k
  • Sensory Systems 191
  • Experimental and Cognitive Psychology 508
  • Social Psychology 296
  • General Decision Sciences 19
Replace D. Samuel Schwarzkopf with:
D. Samuel Schwarzkopf United Kingdom
Guido Hesselmann Germany
Timo Stein Germany
Taosheng Liu United States
Jan W. Brascamp United States
C.A. Heywood United Kingdom
Paola Binda Italy
Adam Reeves United States
Tomas Knapen Netherlands
Jeroen J. A. van Boxtel Australia
Sam Ling relative to D. Samuel Schwarzkopf United Kingdom D. Samuel Schwarzkopf's profile →
Citations per field
00.5×1.5×1.8×
D. Samuel Schwarzkopf · 1×
Citations per year

Countries citing papers authored by Sam Ling

Since Specialization
Citations

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

Fields of papers citing papers by Sam Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20227
4 20220
5 20192
6 201718
7 201716
8 201514
9 201562
10 201416
11 201236
12 2012102
13 20111
14 20101
15 201011
16 200914
17 200879
18 2008128
19 2006112
20 2005203

About Sam Ling

Sam Ling is a scholar working on Cognitive Neuroscience, Sensory Systems and Ophthalmology, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (43 papers), Neural dynamics and brain function (32 papers), Neural and Behavioral Psychology Studies (20 papers), Face Recognition and Perception (10 papers), Color perception and design (6 papers), Olfactory and Sensory Function Studies (4 papers), Retinal Development and Disorders (3 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Sensory Systems (191 citations) and Experimental and Cognitive Psychology (508 citations). Sam Ling has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Marisa Carrasco, Sarah Read, Elizabeth A. Phelps, Frank Tong, Taosheng Liu, Randolph Blake, Franco Pestilli, Janneke F. M. Jehee, Jascha D. Swisher and Michael S. Pratte. Their work appears in journals such as Journal of Vision, Journal of Neurophysiology, Journal of Neuroscience, Vision Research 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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