Greg Olmschenk
About
In The Last Decade
Greg Olmschenk
19 papers receiving 190 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 65
- Cognitive Neuroscience 46
- Artificial Intelligence 46
- Astronomy and Astrophysics 38
- Human-Computer Interaction 22
Countries citing papers authored by Greg Olmschenk
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
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-authorship network of co-authors of Greg Olmschenk
This figure shows the co-authorship network connecting the top 25 collaborators of Greg Olmschenk. A scholar is included among the top collaborators of Greg Olmschenk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Greg Olmschenk. Greg Olmschenk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 35 | |
| 8 | 17 | |
| 9 | Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks | 8 |
| 10 | Semi-supervised Regression with Generative Adversarial Networks Using Minimal Labeled Data | 2 |
| 11 | 41 | |
| 12 | A Hybrid Indoor Positioning System for Blind and Visually Impaired Using Bluetooth and Google Tango | 13 |
| 13 | 19 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 13 |
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.