Anne C. Elster
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Erik SmistadFrank LindsethDaniele G. SpampinatoJan Christian MeyerAnthony P. ReevesAndreas KuehlmannDavid R. KincaidMalik M. Khan
- Topics
- Parallel Computing and Optimization Techniques (27 papers)Advanced Data Storage Technologies (14 papers)Cloud Computing and Resource Management (12 papers)
- Partner nations
- NorwayUnited StatesGermany
In The Last Decade
Anne C. Elster
47 papers receiving 479 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 192
- Computer Networks and Communications 112
- Hardware and Architecture 108
- Artificial Intelligence 96
- Radiology, Nuclear Medicine and Imaging 87
Countries citing papers authored by Anne C. Elster
This map shows the geographic impact of Anne C. Elster'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 C. Elster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne C. Elster more than expected).
Fields of papers citing papers by Anne C. Elster
This network shows the impact of papers produced by Anne C. Elster. 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 C. Elster. The network helps show where Anne C. Elster may publish in the future.
Co-authorship network of co-authors of Anne C. Elster
This figure shows the co-authorship network connecting the top 25 collaborators of Anne C. Elster. A scholar is included among the top collaborators of Anne C. Elster 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 C. Elster. Anne C. Elster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | LS-CAT: A Large-Scale CUDA AutoTuning Dataset | 1 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 175 | |
| 10 | 44 | |
| 11 | GPU-Based Airway Segmentation and Centerline Extraction for Image Guided Bronchoscopy | 8 |
| 12 | Parallel Simulation of Probabilistic P Systems on Multicore Platforms | 6 |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | Parallelization Issues and Particle-In Codes. | 1 |
| 20 | Fault-Tolerant Matrix Operations on Hypercube Multiprocessors. | 4 |
About Anne C. Elster
Anne C. Elster is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 50 papers that have together received 501 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (14 papers) and Cloud Computing and Resource Management (12 papers). The work is most often cited by research in Hardware and Architecture (108 citations), Computational Mathematics (6 citations) and Computer Vision and Pattern Recognition (192 citations). Anne C. Elster has collaborated with scholars based in Norway, United States and Germany. Frequent co-authors include Erik Smistad, Frank Lindseth, Daniele G. Spampinato, Jan Christian Meyer, Anthony P. Reeves, Andreas Kuehlmann, David R. Kincaid, Malik M. Khan, Ian Karlin and Tobias Becker. Their work appears in journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Medical Image Analysis.
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.