Danuta Rutkowska
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Physical and Theoretical Chemistry
- Computational Theory and Mathematics
- Co-authors
- Andrzej RutkowskiK. JankowskiLeszek RutkowskiRobert NowickiPiotr DudaMaciej JaworskiW. H. Eugen SchwarzWłodzimierz Greblicki
- Topics
- Atomic and Molecular Physics (9 papers)Fuzzy Logic and Control Systems (8 papers)Neural Networks and Applications (7 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsPhysical and Theoretical ChemistryArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaPhysical Review AChemical Physics Letters
In The Last Decade
Danuta Rutkowska
24 papers receiving 271 citations
Peers
Comparison fields: 5 of 79
- Atomic and Molecular Physics, and Optics 121
- Artificial Intelligence 106
- Control and Systems Engineering 39
- Physical and Theoretical Chemistry 30
- Computational Theory and Mathematics 21
Countries citing papers authored by Danuta Rutkowska
This map shows the geographic impact of Danuta Rutkowska'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 Danuta Rutkowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danuta Rutkowska more than expected).
Fields of papers citing papers by Danuta Rutkowska
This network shows the impact of papers produced by Danuta Rutkowska. 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 Danuta Rutkowska. The network helps show where Danuta Rutkowska may publish in the future.
Co-authorship network of co-authors of Danuta Rutkowska
This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Rutkowska. A scholar is included among the top collaborators of Danuta Rutkowska 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 Danuta Rutkowska. Danuta Rutkowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | PERCEPTION-BASED REASONING: EVALUATION SYSTEMS | 1 |
| 9 | Fuzzy inference neural networks with fuzzy parameters | 1 |
| 10 | Perception-based systems for medical diagnosis. | 1 |
| 11 | 4 | |
| 12 | 83 | |
| 13 | Implication-Based Neuro-Fuzzy Architectures | 18 |
| 14 | 2 | |
| 15 | On Processing of Noisy Data by Fuzzy Inference Neural Networks. | 1 |
| 16 | 5 | |
| 17 | Fuzzy neural networks with an application to medical diagnosis | 2 |
| 18 | 13 | |
| 19 | 33 | |
| 20 | 3 |
About Danuta Rutkowska
Danuta Rutkowska is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 27 papers that have together received 302 indexed citations. Recurring topics across this work include Atomic and Molecular Physics (9 papers), Fuzzy Logic and Control Systems (8 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (121 citations), Physical and Theoretical Chemistry (30 citations) and Artificial Intelligence (106 citations). Danuta Rutkowska has collaborated with scholars based in Poland, China and Australia. Frequent co-authors include Andrzej Rutkowski, K. Jankowski, Leszek Rutkowski, Robert Nowicki, Piotr Duda, Maciej Jaworski, W. H. Eugen Schwarz, Włodzimierz Greblicki, Yoichi Hayashi and Marek Kisiel‐Dorohinicki. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical Review A and Chemical Physics Letters.
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.