Franz J. Király
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 3
- Hematology top 10%
- Signal Processing top 10%
- Blind Source Separation Techniques 4
- Applied Psychology top 10%
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- Explainable Artificial Intelligence (XAI) 4
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- Sparse and Compressive Sensing Techniques 3
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- Polynomial and algebraic computation 3
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- Impact of Technology on Adolescents 2
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- Sports Analytics and Performance 2
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- Commutative Algebra and Its Applications 2
- Co-authors
- Paul von BünauFrank C. MeineckeKlaus‐Robert MüllerKonstantinos IoannidisChristine LöchnerSamuel R. ChamberlainSarah A. ReddenDan J. Stein
- Journals
- Journal of Machine Learning Research (3 papers)PLoS ONE (2 papers)Addictive Behaviors (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Franz J. Király
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 154
- Health Informatics 144
- Hematology 149
- Health Information Management 44
- Signal Processing 84
- Applied Psychology 40
Countries citing papers authored by Franz J. Király
This map shows the geographic impact of Franz J. Király'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 Franz J. Király with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz J. Király more than expected).
Fields of papers citing papers by Franz J. Király
This network shows the impact of papers produced by Franz J. Király. 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 Franz J. Király. The network helps show where Franz J. Király may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Franz J. Király, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 61 | |
| 2 | mlr3proba: Machine Learning Survival Analysis in R. | 2020 | 1 |
| 3 | 2020 | 10 | |
| 4 | 2020 | 307 | |
| 5 | Kernels for sequentially ordered data | 2019 | 34 |
| 6 | 2018 | 2 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 5 | |
| 9 | 2018 | 132 | |
| 10 | 2016 | 66 | |
| 11 | 2016 | 18 | |
| 12 | 2014 | 1 | |
| 13 | 2013 | 2 | |
| 14 | A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion | 2012 | 15 |
| 15 | The Stationary Subspace Analysis Toolbox | 2011 | 13 |
| 16 | 2011 | 5 | |
| 17 | 2010 | 1 | |
| 18 | 2010 | 158 | |
| 19 | 2009 | 5 | |
| 20 | 2009 | 187 |
About Franz J. Király
Franz J. Király is a scholar working on Health Informatics, Algebra and Number Theory, Signal Processing, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Polynomial and algebraic computation (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Impact of Technology on Adolescents (2 papers), Sports Analytics and Performance (2 papers) and Commutative Algebra and Its Applications (2 papers). The work is most often cited by research in Health Informatics (144 citations), Hematology (149 citations), Health Information Management (44 citations), Signal Processing (84 citations) and Applied Psychology (40 citations). Franz J. Király has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Paul von Bünau, Frank C. Meinecke, Klaus‐Robert Müller, Konstantinos Ioannidis, Christine Löchner, Samuel R. Chamberlain, Sarah A. Redden, Dan J. Stein, Jon E. Grant and Matthias S. Treder. Their work appears in journals such as Journal of Machine Learning Research, PLoS ONE, Addictive Behaviors, International Journal of Algebra and Computation and Journal of Psychiatric 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.