Stacey Wolfson

1.7k citations
25 papers · 337 · h-index 10

Impact in

Papers in

Stacey Wolfson

20 papers receiving 330 citations

Peers

Stacey Wolfson
Comparison fields: 5 of 55
  • Cognitive Neuroscience 239
  • General Decision Sciences 6
  • Computer Vision and Pattern Recognition 65
  • Sensory Systems 14
  • Atomic and Molecular Physics, and Optics 75
Replace Binh T. Pham with:
Binh T. Pham United States
Stuart J. Starr United States
Sarah J. Waugh United Kingdom
Takeaki Shimokawa Japan
David Weiß United States
Ross Goutcher United Kingdom
Dennis M. Levi United States
Yen Lee Yap United States
Pengjing Xu China
Masahiko Terao Japan
Stacey Wolfson relative to Binh T. Pham United States Binh T. Pham's profile →
Citations per field
00.5×9.4×
Binh T. Pham · 1×
Citations per year

Countries citing papers authored by Stacey Wolfson

Since Specialization
Citations

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

Fields of papers citing papers by Stacey Wolfson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Stacey Wolfson, 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 Stacey Wolfson Line = papers co-authored together Stacey Wolfson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199567
2 201853
3 199851
4 202227
5 199925
6 200620
7 200014
8 200413
9 200113
10 200113
11 20078
12 20098
13 20067
14 20016
15 20224
16 20052
17 20042
18 20102
19
Increment and decrement probes in the probed-sinewave paradigm
20001
20 20101

About Stacey Wolfson

Stacey Wolfson is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Surgery and Molecular Biology, having authored 25 papers that have together received 337 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (21 papers), Color Science and Applications (14 papers), Neural dynamics and brain function (7 papers), Aesthetic Perception and Analysis (5 papers), Image Enhancement Techniques (3 papers), Lymphadenopathy Diagnosis and Analysis (2 papers), Image and Video Quality Assessment (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Cognitive Neuroscience (239 citations), General Decision Sciences (6 citations), Computer Vision and Pattern Recognition (65 citations), Sensory Systems (14 citations) and Atomic and Molecular Physics, and Optics (75 citations). Stacey Wolfson has collaborated with scholars based in United States and France. Frequent co-authors include Michael S. Landy, Norma Graham, Eric Kim, Linda Moy, Nan Wu, Jingyi Su, Krzysztof J. Geras, Kyunghyun Cho, Yiqiu Shen and Xian Zhang. Their work appears in journals such as Journal of Vision, Vision Research, Radiology, Visual Neuroscience and Journal of the Optical Society of America A.

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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