Frank Soboczenski
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Health Informatics top 5%
- Astronomy and Astrophysics
- Hardware and Architecture
- Co-authors
- Byron WallaceIain MarshallJoël KuiperThomas A TrikalinosRandolph G. BiasAnna H Noel-StorrAni NenkovaJames Thomas
- Topics
- Real-Time Systems Scheduling (4 papers)Artificial Intelligence in Healthcare and Education (4 papers)Embedded Systems Design Techniques (3 papers)
- Journals
- Journal of Clinical EpidemiologyJournal of the American Medical Informatics AssociationAdvances in Space Research
- Partner nations
- United KingdomUnited StatesLuxembourg
In The Last Decade
Frank Soboczenski
17 papers receiving 183 citations
Peers
Comparison fields: 5 of 83
- Statistics, Probability and Uncertainty 48
- Artificial Intelligence 41
- Health Informatics 35
- Astronomy and Astrophysics 21
- Hardware and Architecture 20
Countries citing papers authored by Frank Soboczenski
This map shows the geographic impact of Frank Soboczenski'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 Frank Soboczenski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Soboczenski more than expected).
Fields of papers citing papers by Frank Soboczenski
This network shows the impact of papers produced by Frank Soboczenski. 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 Frank Soboczenski. The network helps show where Frank Soboczenski may publish in the future.
Co-authorship network of co-authors of Frank Soboczenski
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Soboczenski. A scholar is included among the top collaborators of Frank Soboczenski 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 Frank Soboczenski. Frank Soboczenski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 27 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 43 | |
| 10 | 40 | |
| 11 | Unsupervised learning for thermal anomaly detection on the lunar surface | 1 |
| 12 | 10 | |
| 13 | Exploring and Understanding Multicore Interference from Observable Factors | 2 |
| 14 | Evaluating mixed criticality scheduling algorithms with realistic workloads. | 3 |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 7 |
About Frank Soboczenski
Frank Soboczenski is a scholar working on Health Informatics, Hardware and Architecture and Information Systems and Management, having authored 17 papers that have together received 186 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Embedded Systems Design Techniques (3 papers). The work is most often cited by research in Health Informatics (35 citations), Statistics, Probability and Uncertainty (48 citations) and Hardware and Architecture (20 citations). Frank Soboczenski has collaborated with scholars based in United Kingdom, United States and Luxembourg. Frequent co-authors include Byron Wallace, Iain Marshall, Joël Kuiper, Thomas A Trikalinos, Randolph G. Bias, Anna H Noel-Storr, Ani Nenkova, James Thomas, Iain Bate and Adam D. Cobb. Their work appears in journals such as Journal of Clinical Epidemiology, Journal of the American Medical Informatics Association and Advances in Space Research.
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.