Sheryl M. Ehrlich

622 citations
15 papers · 444 · h-index 9

Impact in

Papers in

Sheryl M. Ehrlich

14 papers receiving 414 citations

Peers

Sheryl M. Ehrlich
Comparison fields: 5 of 77
  • Cognitive Neuroscience 278
  • Human-Computer Interaction 80
  • Ophthalmology 55
  • Experimental and Cognitive Psychology 74
  • Computer Vision and Pattern Recognition 108
Replace H. A. Sedgwick with:
H. A. Sedgwick United States
Jacqueline M. Fulvio United States
Robert Becklen United States
Nam-Gyoon Kim South Korea
Shinya Saida Japan
Rik Warren United States
Heather M. Oonk United States
Frank Schumann Germany
N Yakimoff Bulgaria
Edward R. Strelow New Zealand
Sheryl M. Ehrlich relative to H. A. Sedgwick United States H. A. Sedgwick's profile →
Citations per field
00.5×2.6×
H. A. Sedgwick · 1×
Citations per year

Countries citing papers authored by Sheryl M. Ehrlich

Since Specialization
Citations

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

Fields of papers citing papers by Sheryl M. Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheryl M. Ehrlich. 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 Sheryl M. Ehrlich. The network helps show where Sheryl M. Ehrlich may publish in the future.

Co-authors

The 17 scholars most cited alongside Sheryl M. Ehrlich, 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 Sheryl M. Ehrlich Line = papers co-authored together Sheryl M. Ehrlich links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1996129
2 199472
3 199848
4 199942
5 200039
6 200033
7
Discrimination of changes in latency during head movement
199929
8 201619
9 200418
10 20016
11 20003
12
The effect of depth information on heading judgments
19963
13 19882
14 20001
15 20150

About Sheryl M. Ehrlich

Sheryl M. Ehrlich is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Human-Computer Interaction and Social Psychology, having authored 15 papers that have together received 444 indexed citations. Recurring topics across this work include Face Recognition and Perception (4 papers), Emotion and Mood Recognition (4 papers), Visual perception and processing mechanisms (3 papers), Color perception and design (2 papers), Virtual Reality Applications and Impacts (2 papers), Human-Automation Interaction and Safety (2 papers), Tactile and Sensory Interactions (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Cognitive Neuroscience (278 citations), Human-Computer Interaction (80 citations), Ophthalmology (55 citations), Experimental and Cognitive Psychology (74 citations) and Computer Vision and Pattern Recognition (108 citations). Sheryl M. Ehrlich has collaborated with scholars based in United States and Germany. Frequent co-authors include James A. Crowell, Benjamin T. Backus, Diane J. Schiano, Stephen R. Ellis, Mark Young, Bernard D. Adelstein, Gary S. Katz, Elizabeth S. Spelke, Diane M. Beck and Tom C. A. Freeman. Their work appears in journals such as Vision Research, Cognition, Investigative Ophthalmology & Visual Science, Advances in oto-rhino-laryngology and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

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.

Explore authors with similar magnitude of impact