Katalin M. Hangos
- Control and Systems Engineering top 1%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Gábor SzederkényiJ. BokorAttila MagyarIan T. CameronAntonio A. AlonsoIan CameronGordon D. IngramErzsébet Németh
- Topics
- Advanced Control Systems Optimization (54 papers)Fault Detection and Control Systems (45 papers)Gene Regulatory Network Analysis (38 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlJournal of Cleaner Production
In The Last Decade
Katalin M. Hangos
192 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 120
- Control and Systems Engineering 1.1k
- Molecular Biology 433
- Computational Theory and Mathematics 250
- Electrical and Electronic Engineering 220
- Statistical and Nonlinear Physics 189
Countries citing papers authored by Katalin M. Hangos
This map shows the geographic impact of Katalin M. Hangos'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 Katalin M. Hangos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin M. Hangos more than expected).
Fields of papers citing papers by Katalin M. Hangos
This network shows the impact of papers produced by Katalin M. Hangos. 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 Katalin M. Hangos. The network helps show where Katalin M. Hangos may publish in the future.
Co-authorship network of co-authors of Katalin M. Hangos
This figure shows the co-authorship network connecting the top 25 collaborators of Katalin M. Hangos. A scholar is included among the top collaborators of Katalin M. Hangos 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 Katalin M. Hangos. Katalin M. Hangos 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 | 5 | |
| 3 | Modeling and identification of the pressurizer of a VVER nuclear reactor for controller design purposes | 7 |
| 4 | Modelling of rapid and slow transmission using the theory of reaction kinetic networks | 1 |
| 5 | A structured, blended hazard identification framework for advanced process diagnosis | 7 |
| 6 | Dynamic modeling and model analysis of a large industrial synchronous generator | 6 |
| 7 | Model identification of the primary circuit at the Paks nuclear power plant | 5 |
| 8 | The P3 formalism: a basics for improved diagnosis in complex systems | 6 |
| 9 | Nonlinear lumping of cascade activation reactions | 1 |
| 10 | Control of mass action law based reaction networks | 1 |
| 11 | Modeling and simulation of the primary circuit of the Paks nuclear power plant for control and diagnosis | 1 |
| 12 | Process control based on physical insight: passivity and Hamiltonian system models | 1 |
| 13 | Linear and nonlinear control of musculoskeletal systems | 1 |
| 14 | Analysis and Control of Nonlinear Process Systems (Advanced Textbooks in Control and Signal Processing) | 2 |
| 15 | Nonlinear modelling and model verification of a single protection valve | 4 |
| 16 | System identification of an electro-pneumatic protection valve. (Research report SCL-001/2003) | 1 |
| 17 | Effect of steady state assumption on the structural solvability of dynamic process models | 0 |
| 18 | Modeling and nonlinear analysis of a low-power gas turbine. (Techical report of the Systems and Control Laboratory, SCL-1/2001.) | 1 |
| 19 | Knowledge acquisition in a qualitative diagnostic toolbox | 1 |
| 20 | One-sided approximation of Bayes rule and its application to regression model with Cauchy noise | 3 |
About Katalin M. Hangos
Katalin M. Hangos is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 211 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (54 papers), Fault Detection and Control Systems (45 papers) and Gene Regulatory Network Analysis (38 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Statistics, Probability and Uncertainty (136 citations) and Numerical Analysis (87 citations). Katalin M. Hangos has collaborated with scholars based in Hungary, Australia and Romania. Frequent co-authors include Gábor Szederkényi, J. Bokor, Attila Magyar, Ian T. Cameron, Antonio A. Alonso, Ian Cameron, Gordon D. Ingram, Erzsébet Németh, Sten Bay Jørgensen and John D. Perkins. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of Cleaner Production.
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.