Krista A. Ehinger

7.5k citations
76 papers · 4.5k · 2 hit papers · h-index 18

Impact in

Papers in

Krista A. Ehinger

61 papers receiving 4.3k citations

Krista A. Ehinger's Hit Papers

SUN database: Large-scale scene recognition from abbey to zoo 2010 · 1.9k citations
1.9k0+5+11Years since publication50010001.5k

Peers

Krista A. Ehinger
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
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Citations per field
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Citations per year

Countries citing papers authored by Krista A. Ehinger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Krista A. Ehinger Line = papers co-authored together Krista A. Ehinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SUN database: Large-scale scene recognition from abbey to zoo
Hit paper breakdown →
20101853
2
Learning to predict where humans look
Hit paper breakdown →
20091323
3 2009215
4 2014199
5 2012185
6 2012102
7 198665
8 201646
9 198439
10 201629
11 201627
12 199127
13 200826
14 201522
15 201722
16 201318
17 198918
18 202118
19 201217
20
Estimating scene typicality from human ratings and image features
201116

About Krista A. Ehinger

Krista A. Ehinger is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Artificial Intelligence, 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), Gaze Tracking and Assistive Technology (6 papers), Conducting polymers and applications (6 papers), Olfactory and Sensory Function Studies (6 papers) and Photonic and Optical Devices (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, Tilke Judd, Frédo Durand, 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.

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