Krista A. Ehinger
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- Visual Attention and Saliency Detection 20
- Advanced Image and Video Retrieval Techniques 15
- Human-Computer Interaction top 0.5%
- Gaze Tracking and Assistive Technology 6
- Sensory Systems top 1%
- Olfactory and Sensory Function Studies 6
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms 15
- Media Technology top 1%
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- Semiconductor materials and devices 7
- Photonic and Optical Devices 6
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- Conducting polymers and applications 6
Krista A. Ehinger
61 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 3.5k
- Human-Computer Interaction 526
- Sensory Systems 421
- Cognitive Neuroscience 959
- Media Technology 360
Countries citing papers authored by Krista A. Ehinger
This map shows the geographic impact of Krista A. Ehinger'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 Krista A. Ehinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krista A. Ehinger more than expected).
Fields of papers citing papers by Krista A. Ehinger
This network shows the impact of papers produced by Krista A. Ehinger. 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 Krista A. Ehinger. The network helps show where Krista A. Ehinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Krista A. Ehinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 0 | |
| 8 | Optimal visual search based on a model of target detectability in natural images | 2020 | 5 |
| 9 | 2016 | 7 | |
| 10 | 2016 | 27 | |
| 11 | 2015 | 22 | |
| 12 | SUN Database: Exploring a Large Collection of Scene Categories | 2014 | 9 |
| 13 | 2014 | 10 | |
| 14 | 2013 | 18 | |
| 15 | 2012 | 102 | |
| 16 | 2012 | 17 | |
| 17 | 2012 | 185 | |
| 18 | Canonical views of scenes depend on the shape of the space | 2011 | 5 |
| 19 | Estimating scene typicality from human ratings and image features | 2011 | 16 |
| 20 | 2009 | 9 |
About Krista A. Ehinger
Krista A. Ehinger is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems, Human-Computer Interaction, Cognitive Neuroscience and Media Technology, having authored 76 papers that have together received 4.5k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (20 papers), Visual perception and processing mechanisms (15 papers), Advanced Image and Video Retrieval Techniques (15 papers), Semiconductor materials and devices (7 papers), Photonic and Optical Devices (6 papers), Gaze Tracking and Assistive Technology (6 papers), Conducting polymers and applications (6 papers) and Olfactory and Sensory Function Studies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Human-Computer Interaction (526 citations), Sensory Systems (421 citations), Cognitive Neuroscience (959 citations) and Media Technology (360 citations). Krista A. Ehinger has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Antonio Torralba, Aude Oliva, Jianxiong Xiao, James Hays, Frédo Durand, Tilke Judd, B. Hidalgo-Sotelo, Ruth Rosenholtz, S. Roth and Jeremy M. Wolfe. Their work appears in journals such as Journal of Vision, Frontiers in Psychology, Attention Perception & Psychophysics, Electronics Letters and Behavior Research Methods.
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.