Mike Schaekermann
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Ophthalmology top 5%
- Computer Vision and Pattern Recognition
- Computer Science Applications top 5%
- Co-authors
- Edith LawKate LarsonRory SayresAndrew LimAbigail E. HuangJoslin GohDale R. WebsterMatthew Lease
- Topics
- Retinal Imaging and Analysis (5 papers)Retinal Diseases and Treatments (4 papers)Mobile Crowdsensing and Crowdsourcing (3 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Mike Schaekermann
23 papers receiving 397 citations
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 159
- Artificial Intelligence 145
- Ophthalmology 129
- Computer Vision and Pattern Recognition 52
- Computer Science Applications 51
Countries citing papers authored by Mike Schaekermann
This map shows the geographic impact of Mike Schaekermann'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 Mike Schaekermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Schaekermann more than expected).
Fields of papers citing papers by Mike Schaekermann
This network shows the impact of papers produced by Mike Schaekermann. 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 Mike Schaekermann. The network helps show where Mike Schaekermann may publish in the future.
Co-authorship network of co-authors of Mike Schaekermann
This figure shows the co-authorship network connecting the top 25 collaborators of Mike Schaekermann. A scholar is included among the top collaborators of Mike Schaekermann 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 Mike Schaekermann. Mike Schaekermann 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 | 0 | |
| 3 | 12 | |
| 4 | 16 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 31 | |
| 9 | 18 | |
| 10 | A Study of Feature-based Consensus Formation for Glaucoma Risk Assessment | 1 |
| 11 | 6 | |
| 12 | Asynchronous Remote Adjudication for Grading Diabetic Retinopathy | 1 |
| 13 | 126 | |
| 14 | 24 | |
| 15 | 5 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 40 | |
| 19 | Online Bayesian Transfer Learning for Sequential Data Modeling | 11 |
| 20 | 16 |
About Mike Schaekermann
Mike Schaekermann is a scholar working on Health Informatics, Computer Science Applications and Ophthalmology, having authored 24 papers that have together received 409 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (4 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Health Informatics (40 citations), Ophthalmology (129 citations) and Computer Science Applications (51 citations). Mike Schaekermann has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Edith Law, Kate Larson, Rory Sayres, Andrew Lim, Abigail E. Huang, Joslin Goh, Dale R. Webster, Matthew Lease, Yun Liu and Jonathan Krause. Their work appears in journals such as Neurology, Ophthalmology and Investigative Ophthalmology & Visual Science.
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.