Norbert Jankowski

1.1k total citations
30 papers, 429 citations indexed

About

Norbert Jankowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Norbert Jankowski has authored 30 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Norbert Jankowski's work include Neural Networks and Applications (20 papers), Fuzzy Logic and Control Systems (12 papers) and Machine Learning and Data Classification (11 papers). Norbert Jankowski is often cited by papers focused on Neural Networks and Applications (20 papers), Fuzzy Logic and Control Systems (12 papers) and Machine Learning and Data Classification (11 papers). Norbert Jankowski collaborates with scholars based in Poland. Norbert Jankowski's co-authors include Włodzisław Duch, Krzysztof Grąbczewski, Rafał Adamczak, Tomasz Maszczyk and Marek Grochowski and has published in prestigious journals such as Knowledge-Based Systems, International Journal of Applied Mathematics and Computer Science and Control and Cybernetics.

In The Last Decade

Norbert Jankowski

29 papers receiving 373 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Norbert Jankowski Poland	9	272	76	54	32	32	30	429
Shyh-Rong Lay United States	4	277 1.0×	108 1.4×	53 1.0×	33 1.0×	18 0.6×	8	420
Anton Akusok Finland	8	322 1.2×	79 1.0×	39 0.7×	90 2.8×	29 0.9×	24	467
Tin-Yau Kwok Hong Kong	5	276 1.0×	99 1.3×	80 1.5×	62 1.9×	27 0.8×	5	417
Frauke Friedrichs Germany	5	218 0.8×	90 1.2×	57 1.1×	47 1.5×	24 0.8×	7	421
W. Ahmed United States	6	302 1.1×	134 1.8×	94 1.7×	53 1.7×	17 0.5×	15	482
Lipo Wang Singapore	12	268 1.0×	117 1.5×	48 0.9×	64 2.0×	13 0.4×	14	499
Yifan Li China	10	216 0.8×	48 0.6×	40 0.7×	37 1.2×	26 0.8×	38	354
B. Venkatesh India	5	202 0.7×	74 1.0×	29 0.5×	36 1.1×	26 0.8×	20	475
Geng Zhang China	11	117 0.4×	111 1.5×	51 0.9×	33 1.0×	26 0.8×	54	392
Shandian Zhe United States	12	141 0.5×	65 0.9×	67 1.2×	24 0.8×	22 0.7×	49	491

Countries citing papers authored by Norbert Jankowski

Since Specialization

Citations

This map shows the geographic impact of Norbert Jankowski'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 Norbert Jankowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Jankowski more than expected).

Fields of papers citing papers by Norbert Jankowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norbert Jankowski. 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 Norbert Jankowski. The network helps show where Norbert Jankowski may publish in the future.

Co-authorship network of co-authors of Norbert Jankowski

This figure shows the co-authorship network connecting the top 25 collaborators of Norbert Jankowski. A scholar is included among the top collaborators of Norbert Jankowski 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 Norbert Jankowski. Norbert Jankowski 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

1.

Jankowski, Norbert, et al.. (2019). A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition. International Journal of Applied Mathematics and Computer Science. 29(3). 581–594. 2 indexed citations

2.

Jankowski, Norbert. (2018). Comparison of Prototype Selection Algorithms Used in Construction of Neural Networks Learned by SVD. International Journal of Applied Mathematics and Computer Science. 28(4). 719–733. 2 indexed citations

3.

Jankowski, Norbert. (2013). Meta-learning and new ways in model construction for classification problems. 2 indexed citations

4.

Jankowski, Norbert. (2013). Fast heterogeneous boosting. 1–8. 3 indexed citations

5.

Duch, Włodzisław, Norbert Jankowski, & Tomasz Maszczyk. (2012). Make it cheap: Learning with O(nd) complexity. Zenodo (CERN European Organization for Nuclear Research). 1–4. 15 indexed citations

6.

Jankowski, Norbert. (2012). Graph-based generation of a meta-learning search space. International Journal of Applied Mathematics and Computer Science. 22(3). 647–667. 2 indexed citations

7.

Grąbczewski, Krzysztof & Norbert Jankowski. (2011). Saving time and memory in computational intelligence system with machine unification and task spooling. Knowledge-Based Systems. 24(5). 570–588. 5 indexed citations

8.

Jankowski, Norbert & Krzysztof Grąbczewski. (2008). Building meta-learning algorithms basing on search controlled by machine complexity. 3601–3608. 3 indexed citations

9.

Jankowski, Norbert & Krzysztof Grąbczewski. (2007). Handwritten Digit, Recognition Road to Contest victory. 34. 491–498. 3 indexed citations

10.

Jankowski, Norbert. (2007). NEW NEURAL TRANSFER FUNCTIONS. 15 indexed citations

11.

Grąbczewski, Krzysztof & Norbert Jankowski. (2007). Versatile and Efficient Meta-Learning Architecture: Knowledge Representation and Management in Computational Intelligence. 51–58. 11 indexed citations

12.

Grąbczewski, Krzysztof & Norbert Jankowski. (2005). Feature selection with decision tree criterion. 6 pp.–6 pp.. 48 indexed citations

13.

Jankowski, Norbert. (2004). Discrete feature weighting & selection algorithm. 1. 636–641. 1 indexed citations

14.

Duch, Włodzisław & Norbert Jankowski. (2001). Transfer functions: hidden possibilities for better neural networks.. The European Symposium on Artificial Neural Networks. 81–94. 48 indexed citations

15.

Jankowski, Norbert & Włodzisław Duch. (2001). Optimal transfer function neural networks.. The European Symposium on Artificial Neural Networks. 101–106. 8 indexed citations

16.

Duch, Włodzisław, et al.. (2000). Neural methods of knowledge extraction. Control and Cybernetics. 29(4). 997–1017. 4 indexed citations

17.

Adamczak, Rafał & Norbert Jankowski. (2000). New developments in the Feature Space Mapping model. 19 indexed citations

18.

Jankowski, Norbert. (1999). Flexible Transfer Functions with Ontogenic Neural Networks. 1 indexed citations

19.

Jankowski, Norbert. (1999). Approximation and Classification in Medicine with IncNet Neural Networks1. 8 indexed citations

20.

Duch, Włodzisław, et al.. (1997). Initialization and Optimization of Multilayered Perceptrons. 8 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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