Jerzy Błaszczyński

2.1k total citations
28 papers, 1.1k citations indexed

About

Jerzy Błaszczyński is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jerzy Błaszczyński has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 13 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Jerzy Błaszczyński's work include Rough Sets and Fuzzy Logic (12 papers), Statistical and Computational Modeling (6 papers) and Multi-Criteria Decision Making (5 papers). Jerzy Błaszczyński is often cited by papers focused on Rough Sets and Fuzzy Logic (12 papers), Statistical and Computational Modeling (6 papers) and Multi-Criteria Decision Making (5 papers). Jerzy Błaszczyński collaborates with scholars based in Poland, Italy and United Kingdom. Jerzy Błaszczyński's co-authors include Roman Słowiński, Salvatore Greco, Jerzy Stefanowski, Marcin Szeląg, Marco Cinelli, Rajender S. Varma, Stuart R. Coles, Kerry Kirwan, Mallikarjuna N. Nadagouda and Adiel Teixeira de Almeida Filho and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Molecular Sciences and European Journal of Operational Research.

In The Last Decade

Jerzy Błaszczyński

27 papers receiving 1.1k citations

Peers

Countries citing papers authored by Jerzy Błaszczyński

Since Specialization

Citations

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

Fields of papers citing papers by Jerzy Błaszczyński

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerzy Błaszczyński

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

#	Work	Indexed citations
1	Empirical risk minimization for dominance-based rough set approaches 2021 ·Information Sciences ·(unknown), Jerzy Błaszczyński, Masahiro Inuiguchi, Roman Słowiński	19
2	Structure-Activity Relationships of the Imidazolium Compounds as Antibacterials of Staphylococcus aureus and Pseudomonas aeruginosa 2021 ·International Journal of Molecular Sciences ·(unknown), (unknown), Jerzy Błaszczyński, Jerzy Krysiński, Roman Słowiński	3
3	Auto loan fraud detection using dominance-based rough set approach versus machine learning methods 2020 ·Expert Systems with Applications ·Jerzy Błaszczyński, Adiel Teixeira de Almeida Filho, (unknown), Marcin Szeląg, Roman Słowiński	77
4	Application of Dominance-Based Rough Set Approach for Optimization of Pellets Tableting Process 2020 ·Pharmaceutics ·(unknown), (unknown), (unknown), Jerzy Błaszczyński, (unknown), Wiesław Sawicki, Roman Słowiński, Jerzy Krysiński	5
5	Optimization of pellets manufacturing process using rough set theory 2018 ·European Journal of Pharmaceutical Sciences ·(unknown), (unknown), (unknown), Jerzy Błaszczyński, Roman Słowiński, Markus Thommes, Peter Kleinebudde, Jerzy Krysiński	14
6	Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes 2018 ·Journal of Translational Medicine ·Konrad Pieszko, Jarosław Hiczkiewicz, Paweł Budzianowski, Janusz Rzeźniczak, Jan Budzianowski, Jerzy Błaszczyński, Roman Słowiński, Paweł Burchardt	20
7	Learning ensemble classifiers for diabetic retinopathy assessment 2017 ·Artificial Intelligence in Medicine ·(unknown), Jerzy Błaszczyński, Antonio Moreno, Aı̈da Valls, Pedro Romero‐Aroca, (unknown), Roman Słowiński	65
8	With a little help from a computer 2017 ·Medicine ·Ewelina Gowin, Danuta Januszkiewicz‐Lewandowska, Roman Słowiński, Jerzy Błaszczyński, Michał Michalak, Jacek Wysocki	5
9	Robustness analysis of a green chemistry-based model for the classification of silver nanoparticles synthesis processes 2017 ·Journal of Cleaner Production ·Marco Cinelli, Stuart R. Coles, Mallikarjuna N. Nadagouda, Jerzy Błaszczyński, Roman Słowiński, Rajender S. Varma, Kerry Kirwan	37
10	A green chemistry-based classification model for the synthesis of silver nanoparticles 2015 ·Green Chemistry ·Marco Cinelli, Stuart R. Coles, Mallikarjuna N. Nadagouda, Jerzy Błaszczyński, Roman Słowiński, Rajender S. Varma, Kerry Kirwan	86
11	Daily biorhythms of ocular volume changes and the cardiovascular system functional parameters in healthy, ocular hypertension, normal tension and primary open angle glaucoma populations. 2014 ·Investigative Ophthalmology & Visual Science ·(unknown), (unknown), Jarosław Kocięcki, (unknown), (unknown), Jerzy Błaszczyński, Cezary Mazurek, Roman Słowiński	1
12	Comparative analysis of targeted metabolomics: Dominance-based rough set approach versus orthogonal partial least square-discriminant analysis 2014 ·Journal of Biomedical Informatics ·Hélène Blasco, Jerzy Błaszczyński, J.-C. Billaut, Lydie Nadal‐Desbarats, Pierre Pradat, David Devos, Caroline Moreau, Christian Andrés, Patrick Emond, Philippe Corcia, Roman Słowiński	81
13	Readmission to an intensive care unit after cardiac surgery: reasons and outcomes 2014 ·Kardiologia Polska ·(unknown), (unknown), (unknown), Jerzy Błaszczyński, (unknown), Ryszard Kalawski	9
14	Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-Quaternary Imidazolium Chlorides 2014 ·Fundamenta Informaticae ·(unknown), Jerzy Krysiński, Jerzy Błaszczyński, Roman Słowiński, Andrzej Skrzypczak, (unknown), Eugenia Gospodarek, (unknown)	4
15	24 hour continuous ocular tonography Triggerfish and biorhythms of the cardiovascular system functional parameters in healthy and glaucoma populations 2013 ·Acta Ophthalmologica ·(unknown), (unknown), (unknown), Jarosław Kocięcki, Jerzy Błaszczyński, Cezary Mazurek, Roman Słowiński	3
16	Antimicrobial Activity and SAR Study of New Gemini Imidazolium‐Based Chlorides 2013 ·Chemical Biology & Drug Design ·(unknown), Jerzy Błaszczyński, Andrzej Skrzypczak, (unknown), (unknown), (unknown), (unknown), Eugenia Gospodarek, Jerzy Krysiński, Roman Słowiński	24
17	Inductive discovery of laws using monotonic rules 2011 ·Engineering Applications of Artificial Intelligence ·Jerzy Błaszczyński, Salvatore Greco, Roman Słowiński	39
18	Sequential covering rule induction algorithm for variable consistency rough set approaches 2010 ·Information Sciences ·Jerzy Błaszczyński, Roman Słowiński, Marcin Szeląg	158
19	Monotonic Variable Consistency Rough Set Approaches 2009 ·International Journal of Approximate Reasoning ·Jerzy Błaszczyński, Salvatore Greco, Roman Słowiński, (unknown)	95
20	Ensembles of decision rules 2006 ·Foundations of Computing and Decision Sciences ·Jerzy Błaszczyński, Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg	2

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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