Ingrid Winkler
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Safety Research top 10%
- Co-authors
- Erick Giovani Sperandio NascimentoBruna Aparecida Souza MachadoAlex Álisson Bandeira SantosEduardo Oyama Lins FonsecaFrank KirchnerRoberto BadaróYiyu CaiLihui Huang
- Topics
- Virtual Reality Applications and Impacts (25 papers)Augmented Reality Applications (19 papers)Educational Games and Gamification (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- BrazilUnited KingdomMexico
In The Last Decade
Ingrid Winkler
44 papers receiving 394 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 95
- Human-Computer Interaction 86
- Artificial Intelligence 64
- Public Health, Environmental and Occupational Health 52
- Safety Research 42
Countries citing papers authored by Ingrid Winkler
This map shows the geographic impact of Ingrid Winkler'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 Ingrid Winkler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid Winkler more than expected).
Fields of papers citing papers by Ingrid Winkler
This network shows the impact of papers produced by Ingrid Winkler. 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 Ingrid Winkler. The network helps show where Ingrid Winkler may publish in the future.
Co-authorship network of co-authors of Ingrid Winkler
This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Winkler. A scholar is included among the top collaborators of Ingrid Winkler 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 Ingrid Winkler. Ingrid Winkler 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methodsbreakdown → | 116 |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 86 |
About Ingrid Winkler
Ingrid Winkler is a scholar working on Human-Computer Interaction, Chemical Health and Safety and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 426 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (25 papers), Augmented Reality Applications (19 papers) and Educational Games and Gamification (8 papers). The work is most often cited by research in Health Informatics (37 citations), Human-Computer Interaction (86 citations) and Safety Research (42 citations). Ingrid Winkler has collaborated with scholars based in Brazil, United Kingdom and Mexico. Frequent co-authors include Erick Giovani Sperandio Nascimento, Bruna Aparecida Souza Machado, Alex Álisson Bandeira Santos, Eduardo Oyama Lins Fonseca, Frank Kirchner, Roberto Badaró, Yiyu Cai, Lihui Huang, Lynn Rosalina Gama Alves and Qi Cao. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.