Sabine Lang
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Cognitive Neuroscience
- Signal Processing
- Sociology and Political Science
- Co-authors
- Björn OmmerArtsiom SanakoyeuDmytro KotovenkoSue‐Ellen JacobsDonald BahrCorinne SchweizerMichela SalandinMarkus Weininger
- Topics
- Aesthetic Perception and Analysis (3 papers)Sociology and Education Studies (3 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEWestern Historical Quarterly
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Sabine Lang
13 papers receiving 185 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 160
- Computer Graphics and Computer-Aided Design 45
- Cognitive Neuroscience 23
- Signal Processing 20
- Sociology and Political Science 16
Countries citing papers authored by Sabine Lang
This map shows the geographic impact of Sabine Lang'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 Sabine Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Lang more than expected).
Fields of papers citing papers by Sabine Lang
This network shows the impact of papers produced by Sabine Lang. 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 Sabine Lang. The network helps show where Sabine Lang may publish in the future.
Co-authorship network of co-authors of Sabine Lang
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Lang. A scholar is included among the top collaborators of Sabine Lang 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 Sabine Lang. Sabine Lang 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 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 55 | |
| 7 | 95 | |
| 8 | Reflecting on How Artworks Are Processed and Analyzed by Computer Vision: Supplementary Material | 1 |
| 9 | Urban Art in a Digital Context: A Computer-Based Evaluation of Street Art and Graffiti Writing. | 1 |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 21 | |
| 18 | 1 | |
| 19 | 2 |
About Sabine Lang
Sabine Lang is a scholar working on Visual Arts and Performing Arts, Computer Graphics and Computer-Aided Design and Geology, having authored 19 papers that have together received 215 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (3 papers), Sociology and Education Studies (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (45 citations), Computer Vision and Pattern Recognition (160 citations) and Signal Processing (20 citations). Sabine Lang has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Björn Ommer, Artsiom Sanakoyeu, Dmytro Kotovenko, Sue‐Ellen Jacobs, Donald Bahr, Corinne Schweizer, Michela Salandin, Markus Weininger and Tim Kaiser. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Western Historical Quarterly.
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.