Danuta Rutkowska

797 total citations
27 papers, 302 citations indexed

About

Danuta Rutkowska is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Control and Systems Engineering. According to data from OpenAlex, Danuta Rutkowska has authored 27 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Atomic and Molecular Physics, and Optics and 4 papers in Control and Systems Engineering. Recurrent topics in Danuta Rutkowska's work include Atomic and Molecular Physics (9 papers), Fuzzy Logic and Control Systems (8 papers) and Neural Networks and Applications (7 papers). Danuta Rutkowska is often cited by papers focused on Atomic and Molecular Physics (9 papers), Fuzzy Logic and Control Systems (8 papers) and Neural Networks and Applications (7 papers). Danuta Rutkowska collaborates with scholars based in Poland, China and Australia. Danuta Rutkowska's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review A and Chemical Physics Letters.

In The Last Decade

Danuta Rutkowska

24 papers receiving 271 citations

Peers

Danuta Rutkowska

AMPO

CSE

PTC

CTM

Elizabeth Eskow United States

Angelika Wiegele Austria

Ryan Feeley United States

Matthias Roth Germany

Madhumita Panda India

Manojkumar Krishnan United States

Triet Huynh Minh Le Australia

Harald Hanche-Olsen Norway

W.J. Byatt United States

Elizabeth Eskow United States

Danuta Rutkowska

19 ×0.2

AMPO

36 ×0.3

31 ×0.8

CSE

5 ×0.2

PTC

103 ×4.9

CTM

Citations per year, relative to Danuta Rutkowska Danuta Rutkowska (= 1×) peers Elizabeth Eskow

Countries citing papers authored by Danuta Rutkowska

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Rutkowska, Danuta, et al.. (2025). Hypergraph Formalism for Fuzzy Signature-Based Robot Environment Representation. Journal of Artificial Intelligence and Soft Computing Research. 16(1). 91–100.

Rutkowska, Danuta, Piotr Duda, Jinde Cao, et al.. (2024). Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Applied Soft Computing. 161. 111702–111702. 2 indexed citations

Rutkowska, Danuta, Piotr Duda, Jinde Cao, et al.. (2023). The L2 convergence of stream data mining algorithms based on probabilistic neural networks. Information Sciences. 631. 346–368. 5 indexed citations

Witkowska, Anna, et al.. (2023). An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks. Journal of Artificial Intelligence and Soft Computing Research. 13(3). 197–210. 10 indexed citations

Rutkowska, Danuta, et al.. (2023). An Explainable AI Approach to Agrotechnical Monitoring and Crop Diseases Prediction in Dnipro Region of Ukraine. Journal of Artificial Intelligence and Soft Computing Research. 13(4). 247–272. 12 indexed citations

Duda, Piotr, Leszek Rutkowski, Maciej Jaworski, & Danuta Rutkowska. (2018). On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification. IEEE Transactions on Cybernetics. 50(4). 1683–1696. 23 indexed citations

Rutkowska, Danuta. (2006). IF-THEN rules in neural networks for classification. 2. 776–780. 1 indexed citations

Rutkowska, Danuta. (2003). PERCEPTION-BASED REASONING: EVALUATION SYSTEMS. SHILAP Revista de lepidopterología. 1 indexed citations

Rutkowska, Danuta & Yoichi Hayashi. (2003). Fuzzy inference neural networks with fuzzy parameters. SHILAP Revista de lepidopterología. 7–22. 1 indexed citations

10.

Rutkowska, Danuta. (2003). Perception-based systems for medical diagnosis.. European Society for Fuzzy Logic and Technology Conference. 19. 741–746. 1 indexed citations

11.

Rutkowska, Danuta. (2003). Type 2 fuzzy neural networks: an interpretation based on fuzzy inference neural networks with fuzzy parameters. 2. 1180–1185. 4 indexed citations

12.

Rutkowska, Danuta. (2002). Neuro-Fuzzy Architectures and Hybrid Learning. Studies in fuzziness and soft computing. 83 indexed citations

13.

Rutkowska, Danuta & Robert Nowicki. (2000). Implication-Based Neuro-Fuzzy Architectures. International Journal of Applied Mathematics and Computer Science. 10(4). 675–701. 18 indexed citations

14.

Rutkowski, Andrzej, R. Kozłowski, & Danuta Rutkowska. (2000). Regular perturbation theory of relativistic corrections: II. Algebraic approximation. Physical Review A. 63(1). 2 indexed citations

15.

Rutkowska, Danuta, Leszek Rutkowski, & Robert Nowicki. (1999). On Processing of Noisy Data by Fuzzy Inference Neural Networks.. 314–318. 1 indexed citations

16.

Rutkowska, Danuta & Yoichi Hayashi. (1999). Neuro-Fuzzy Systems Approaches. Journal of Advanced Computational Intelligence and Intelligent Informatics. 3(3). 177–185. 5 indexed citations

17.

Rutkowska, Danuta. (1998). Fuzzy neural networks with an application to medical diagnosis. 18. 71–78. 2 indexed citations

18.

Rutkowski, Andrzej, Danuta Rutkowska, & W. H. Eugen Schwarz. (1992). Relativistic perturbation theory of molecular structure. Theoretical Chemistry Accounts. 84(1-2). 105–114. 13 indexed citations

19.

Jankowski, K., Danuta Rutkowska, & Andrzej Rutkowski. (1982). Application of symmetry-adapted pair functions in atomic structure calculations. II. Third-order correlation energy of the neon atom. Physical review. A, General physics. 26(5). 2378–2394. 33 indexed citations

20.

Jankowski, K., Danuta Rutkowska, & Andrzej Rutkowski. (1978). An investigation of the reliability of the Galerkin-Petrov method. Theoretical Chemistry Accounts. 48(2). 119–125. 3 indexed citations

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.

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