Anne R. Haake
- Molecular Biology
- Cell Biology top 5%
- Dermatology top 2%
- Computer Vision and Pattern Recognition top 5%
- Immunology
- Co-authors
- Renata PolakowskaLowell A. GoldsmithGlynis ScottMauro PiacentiniRui LiRoger H. SawyerPengcheng ShiCecilia Ovesdotter Alm
- Topics
- Image Retrieval and Classification Techniques (13 papers)Biomedical Text Mining and Ontologies (8 papers)Skin and Cellular Biology Research (7 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Anne R. Haake
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 571
- Cell Biology 353
- Dermatology 258
- Computer Vision and Pattern Recognition 169
- Immunology 138
Countries citing papers authored by Anne R. Haake
This map shows the geographic impact of Anne R. Haake'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 Anne R. Haake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne R. Haake more than expected).
Fields of papers citing papers by Anne R. Haake
This network shows the impact of papers produced by Anne R. Haake. 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 Anne R. Haake. The network helps show where Anne R. Haake may publish in the future.
Co-authorship network of co-authors of Anne R. Haake
This figure shows the co-authorship network connecting the top 25 collaborators of Anne R. Haake. A scholar is included among the top collaborators of Anne R. Haake 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 Anne R. Haake. Anne R. Haake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains | 1 |
| 3 | Sparse Covariance Modeling in High Dimensions with Gaussian Processes. | 1 |
| 4 | 10 | |
| 5 | Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives | 3 |
| 6 | 10 | |
| 7 | 10 | |
| 8 | Linking Uncertainty in Physicians' Narratives to Diagnostic Correctness | 3 |
| 9 | Visualinguistic Approach to Medical Image Understanding. | 2 |
| 10 | Learning Image-Derived Eye Movement Patterns to Characterize Perceptual Expertise | 7 |
| 11 | 13 | |
| 12 | 14 | |
| 13 | 36 | |
| 14 | 84 | |
| 15 | 51 | |
| 16 | 19 | |
| 17 | 227 | |
| 18 | 66 | |
| 19 | 31 | |
| 20 | 16 |
About Anne R. Haake
Anne R. Haake is a scholar working on Family Practice, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (13 papers), Biomedical Text Mining and Ontologies (8 papers) and Skin and Cellular Biology Research (7 papers). The work is most often cited by research in Dermatology (258 citations), Human-Computer Interaction (133 citations) and Cell Biology (353 citations). Anne R. Haake has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Renata Polakowska, Lowell A. Goldsmith, Glynis Scott, Mauro Piacentini, Rui Li, Roger H. Sawyer, Pengcheng Shi, Cecilia Ovesdotter Alm, Jeff B. Pelz and Qi Yu. Their work appears in journals such as Free Radical Biology and Medicine, Developmental Biology and Journal of Investigative Dermatology.
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.