Lars Omlor
About
In The Last Decade
Lars Omlor
17 papers receiving 463 citations
Peers
Comparison fields: 5 of 91
- Social Psychology 179
- Cognitive Neuroscience 169
- Biomedical Engineering 130
- Computer Vision and Pattern Recognition 126
- Experimental and Cognitive Psychology 113
Countries citing papers authored by Lars Omlor
This map shows the geographic impact of Lars Omlor'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 Lars Omlor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Omlor more than expected).
Fields of papers citing papers by Lars Omlor
This network shows the impact of papers produced by Lars Omlor. 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 Lars Omlor. The network helps show where Lars Omlor may publish in the future.
Co-authorship network of co-authors of Lars Omlor
This figure shows the co-authorship network connecting the top 25 collaborators of Lars Omlor. A scholar is included among the top collaborators of Lars Omlor 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 Lars Omlor. Lars Omlor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | A Deep-Learning Based Algorithm for Automated Segmentation of Geographic Atrophy in Swept-Source Optical Coherence Tomography | 1 |
| 5 | 3D deep learning algorithm for denoising OCTA volumes acquired at 1.68 MHz A-scan-rate | 0 |
| 6 | Using image similarity score to select images for training deep learning models to optimize annotation and computational resources | 0 |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 64 | |
| 11 | 28 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 241 | |
| 15 | 1 | |
| 16 | Selforganization of character behavior by mixing of learned movement primitives. | 3 |
| 17 | 53 | |
| 18 | Extraction of spatio-temporal primitives of emotional body expressions | 3 |
| 19 | 28 |
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.