Konrad Jackowski

443 total citations
18 papers, 200 citations indexed

About

Konrad Jackowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Konrad Jackowski has authored 18 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Analytical Chemistry. Recurrent topics in Konrad Jackowski's work include Data Stream Mining Techniques (5 papers), Neural Networks and Applications (4 papers) and Machine Learning and Data Classification (4 papers). Konrad Jackowski is often cited by papers focused on Data Stream Mining Techniques (5 papers), Neural Networks and Applications (4 papers) and Machine Learning and Data Classification (4 papers). Konrad Jackowski collaborates with scholars based in Poland, Czechia and Indonesia. Konrad Jackowski's co-authors include Michał Woźniak, Robert Burduk, Marek Kurzyński, Bogusław Cyganek, Bartosz Krawczyk, Krzysztof Walkowiak, Hujun Yin, Varun Ojha, Václav Snåšel and Ajith Abraham and has published in prestigious journals such as International Journal of Nanomedicine, Engineering Applications of Artificial Intelligence and Lecture notes in computer science.

In The Last Decade

Konrad Jackowski

16 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konrad Jackowski Poland 9 135 39 29 21 19 18 200
I. А. Hodashinsky Russia 9 165 1.2× 47 1.2× 13 0.4× 27 1.3× 17 0.9× 61 243
Mohamed Eldesouki Egypt 9 182 1.3× 31 0.8× 17 0.6× 26 1.2× 29 1.5× 47 277
Ayad R. Abbas Iraq 9 110 0.8× 49 1.3× 21 0.7× 28 1.3× 48 2.5× 44 216
Antonio Carta Italy 8 129 1.0× 50 1.3× 12 0.4× 14 0.7× 12 0.6× 19 201
Alfredo Nazábal United Kingdom 3 112 0.8× 56 1.4× 28 1.0× 10 0.5× 8 0.4× 6 187
Thulasi Bikku India 8 115 0.9× 48 1.2× 16 0.6× 27 1.3× 30 1.6× 42 244
Osama R. Shahin Saudi Arabia 11 87 0.6× 36 0.9× 13 0.4× 35 1.7× 37 1.9× 31 270
Prasanalakshmi Balaji Saudi Arabia 8 109 0.8× 32 0.8× 8 0.3× 35 1.7× 19 1.0× 44 259
Mohammed Amine Chikh Algeria 10 138 1.0× 62 1.6× 14 0.5× 32 1.5× 60 3.2× 34 279
Xu Tan China 9 155 1.1× 36 0.9× 83 2.9× 20 1.0× 13 0.7× 19 211

Countries citing papers authored by Konrad Jackowski

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Jackowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Jackowski

This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Jackowski. A scholar is included among the top collaborators of Konrad Jackowski 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 Konrad Jackowski. Konrad Jackowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Jackowski, Konrad. (2018). New diversity measure for data stream classification ensembles. Engineering Applications of Artificial Intelligence. 74. 23–34. 18 indexed citations
2.
Kurzyński, Marek, et al.. (2016). Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in intelligent systems and computing. 20 indexed citations
3.
Jackowski, Konrad, et al.. (2016). Learning Decision Trees from Data Streams with Concept Drift. Procedia Computer Science. 80. 1682–1691. 23 indexed citations
4.
Ojha, Varun, Konrad Jackowski, Ajith Abraham, & Václav Snåšel. (2015). Dimensionality reduction, and function approximation of poly(lactic-co-glycolic acid) micro- and nanoparticle dissolution rate. International Journal of Nanomedicine. 10. 1119–1119. 5 indexed citations
5.
Jackowski, Konrad. (2015). Adaptive Splitting and Selection Algorithm for Regression. New Generation Computing. 33(4). 425–448. 4 indexed citations
6.
Jackowski, Konrad & Bogusław Cyganek. (2015). A learning-based colour image segmentation with extended and compact structural tensor feature representation. Pattern Analysis and Applications. 20(2). 401–414. 3 indexed citations
7.
Jackowski, Konrad, Robert Burduk, Krzysztof Walkowiak, Michał Woźniak, & Hujun Yin. (2015). Intelligent Data Engineering and Automated Learning – IDEAL 2015. Lecture notes in computer science. 10 indexed citations
8.
Jackowski, Konrad, et al.. (2015). An Increment Decision Tree Algorithm for Streamed Data. 2015 IEEE Trustcom/BigDataSE/ISPA. 199–204. 1 indexed citations
9.
Baranowska‐Kuczko, Marta, et al.. (2014). Serotonin hypothesis and pulmonary artery hypertension. Postępy Higieny i Medycyny Doświadczalnej. 68. 738–748. 2 indexed citations
10.
Jackowski, Konrad, Bartosz Krawczyk, & Michał Woźniak. (2014). IMPROVED ADAPTIVE SPLITTING AND SELECTION: THE HYBRID TRAINING METHOD OF A CLASSIFIER BASED ON A FEATURE SPACE PARTITIONING. International Journal of Neural Systems. 24(3). 1430007–1430007. 22 indexed citations
11.
Ksieniewicz, Paweł, et al.. (2014). A novel hyperspectral segmentation algorithm--concept and evaluation. Logic Journal of IGPL. 23(1). 105–120. 2 indexed citations
12.
Ojha, Varun, Konrad Jackowski, Ajith Abraham, & Václav Snåšel. (2014). Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile. CentAUR (University of Reading). 121–126.
13.
Burduk, Robert, et al.. (2013). Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in intelligent systems and computing. 30 indexed citations
14.
Jackowski, Konrad. (2013). Fixed-size ensemble classifier system evolutionarily adapted to a recurring context with an unlimited pool of classifiers. Pattern Analysis and Applications. 17(4). 709–724. 18 indexed citations
15.
Jackowski, Konrad, Bartosz Krawczyk, & Michał Woźniak. (2013). APPLICATION OF ADAPTIVE SPLITTING AND SELECTION CLASSIFIER TO THE SPAM FILTERING PROBLEM. Cybernetics & Systems. 44(6-7). 569–588. 3 indexed citations
16.
Jackowski, Konrad & Michał Woźniak. (2010). Method of classifier selection using the genetic approach. Expert Systems. 27(2). 114–128. 12 indexed citations
17.
Jackowski, Konrad & Michał Woźniak. (2008). Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas. Pattern Analysis and Applications. 12(4). 415–425. 27 indexed citations
18.
Jackowski, Konrad. (2001). A formal description of navigational process. Annual of Navigation. 41–74.

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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