Greg Olmschenk

19 papers receiving 195 citations

Peers

Greg Olmschenk
Comparison fields: 5 of 63
  • Instrumentation 13
  • Human-Computer Interaction 20
  • Computer Vision and Pattern Recognition 65
  • Human Factors and Ergonomics 6
  • Astronomy and Astrophysics 41
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Travis Bessell Australia
Lorenzo Flückiger United States
Yuanliang Xue China
Sean Phillips United States
Chiun-Hong Chien United States
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Countries citing papers authored by Greg Olmschenk

Since Specialization
Citations

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

Fields of papers citing papers by Greg Olmschenk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201942
2 202035
3 202221
4 201819
5 202017
6
A Hybrid Indoor Positioning System for Blind and Visually Impaired Using Bluetooth and Google Tango
201814
7 201214
8
Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks
20198
9 20246
10 20176
11 20155
12 20174
13 20243
14 20153
15 20252
16 20212
17 20172
18 20142
19
Semi-supervised Regression with Generative Adversarial Networks Using Minimal Labeled Data
20192
20 20251

About Greg Olmschenk

Greg Olmschenk is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Artificial Intelligence, Building and Construction and Instrumentation, having authored 20 papers that have together received 208 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Smart Parking Systems Research (4 papers), Anomaly Detection Techniques and Applications (4 papers), Stellar, planetary, and galactic studies (4 papers), Astronomy and Astrophysical Research (3 papers), Human Mobility and Location-Based Analysis (3 papers), Gamma-ray bursts and supernovae (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Instrumentation (13 citations), Human-Computer Interaction (20 citations), Computer Vision and Pattern Recognition (65 citations), Human Factors and Ergonomics (6 citations) and Astronomy and Astrophysics (41 citations). Greg Olmschenk has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Zhigang Zhu, Hao Tang, William Seiple, Tracey DeLaney, Jeonghee Rho, Takashi Kozasa, L. Rudnick, W. T. Reach, Jin Chen and J. D. Smith. Their work appears in journals such as The Astrophysical Journal Supplement Series, The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society, The Astronomical Journal and Computer Vision and Image Understanding.

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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