Marek Sikora

1.3k total citations
79 papers, 682 citations indexed

About

Marek Sikora is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Marek Sikora has authored 79 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 22 papers in Information Systems and 22 papers in Computational Theory and Mathematics. Recurrent topics in Marek Sikora's work include Rough Sets and Fuzzy Logic (22 papers), Data Mining Algorithms and Applications (20 papers) and Mining and Industrial Processes (13 papers). Marek Sikora is often cited by papers focused on Rough Sets and Fuzzy Logic (22 papers), Data Mining Algorithms and Applications (20 papers) and Mining and Industrial Processes (13 papers). Marek Sikora collaborates with scholars based in Poland, Slovakia and Netherlands. Marek Sikora's co-authors include Łukasz Wróbel, Adam Gudyś, Marcin Michalak, Michał Kozielski, Andrzej Janusz, Dominik Ślȩzak, M. Hardygóra, Michał Wojciech Szcześniak, Izabela Makałowska and Aleksandra Gruca and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Marek Sikora

69 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Sikora Poland 15 280 136 122 80 76 79 682
Bangjun Wang China 19 168 0.6× 48 0.4× 53 0.4× 153 1.9× 30 0.4× 65 952
Javier G. Castellano Spain 14 467 1.7× 106 0.8× 61 0.5× 41 0.5× 25 0.3× 25 776
Alberto Gómez Gómez Spain 16 144 0.5× 42 0.3× 33 0.3× 21 0.3× 32 0.4× 58 988
Łukasz Wróbel Poland 11 188 0.7× 99 0.7× 82 0.7× 13 0.2× 29 0.4× 37 378
Samad Nejatian Iran 18 367 1.3× 82 0.6× 65 0.5× 25 0.3× 22 0.3× 63 808
Long-Hao Yang China 19 515 1.8× 133 1.0× 248 2.0× 35 0.4× 24 0.3× 64 1.0k
Haoyue Liu China 9 377 1.3× 100 0.7× 38 0.3× 31 0.4× 21 0.3× 18 698
Hanaa Salem Egypt 15 344 1.2× 75 0.6× 12 0.1× 184 2.3× 19 0.3× 40 872
Zhe Liu China 19 415 1.5× 82 0.6× 176 1.4× 9 0.1× 16 0.2× 89 895
John MacIntyre United Kingdom 13 267 1.0× 39 0.3× 72 0.6× 19 0.2× 50 0.7× 57 556

Countries citing papers authored by Marek Sikora

Since Specialization
Citations

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

Fields of papers citing papers by Marek Sikora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Sikora

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

All Works

20 of 20 papers shown
1.
Kozielski, Michał, et al.. (2025). Towards consistency of rule-based explainer and black box model — Fusion of rule induction and XAI-based feature importance. Knowledge-Based Systems. 311. 113092–113092. 3 indexed citations
2.
Janusz, Andrzej, et al.. (2023). BrightBox — A rough set based technology for diagnosing mistakes of machine learning models. Applied Soft Computing. 141. 110285–110285. 10 indexed citations
3.
Sędek, Łukasz, et al.. (2022). Machine Learning Based Analysis of Relations between Antigen Expression and Genetic Aberrations in Childhood B-Cell Precursor Acute Lymphoblastic Leukaemia. Journal of Clinical Medicine. 11(9). 2281–2281. 9 indexed citations
4.
Żyła, Joanna, Małgorzata Bach, Aleksandra Werner, et al.. (2021). Symptom-based early-stage differentiation between SARS-CoV-2 versus other respiratory tract infections—Upper Silesia pilot study. Scientific Reports. 11(1). 13580–13580. 5 indexed citations
5.
Kozielski, Michał, Małgorzata Bach, Aleksandra Gruca, et al.. (2021). Screening Support System Based on Patient Survey Data—Case Study on Classification of Initial, Locally Collected COVID-19 Data. Applied Sciences. 11(22). 10790–10790. 5 indexed citations
6.
Sikora, Marek, et al.. (2014). Branża węgla brunatnego, stan obecny i perspektywa rozwoju na I połowę XXI wieku. Przegląd Górniczy. 1 indexed citations
7.
Sikora, Marek, et al.. (2013). APPLICATION OF RULE INDUCTION TO DISCOVER SURVIVAL FACTORS OF PATIENTS AFTER BONE MARROW TRANSPLANTATION. Journal of Medical Informatics & Technologies. 22. 7 indexed citations
8.
Michalak, Marcin, et al.. (2013). Analysis of the longwall conveyor chain based on a harmonic analysis. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 15(4). 9 indexed citations
9.
Sikora, Marek, et al.. (2012). Złoże Poniec-Krobia w bilansie konińskiego zagłębia górniczo-energetycznego węgla brunatnego. Polityka Energetyczna – Energy Policy Journal. 135–146. 4 indexed citations
10.
Sikora, Marek, et al.. (2012). Improving prediction models applied in systems monitoring natural hazards and machinery. International Journal of Applied Mathematics and Computer Science. 22(2). 477–491. 8 indexed citations
11.
Sikora, Marek, et al.. (2012). System rozmyty wspomagający identyfikację źródeł emisji tlenku węgla w wyrobiskach kopalnianych. Mechanizacja i Automatyzacja Górnictwa. 20–27. 1 indexed citations
12.
Sikora, Marek & Łukasz Wróbel. (2009). Wyniki zastosowania algorytmów indukcji reguł do klasyfikacji stanu zagrożenia tąpaniami w kopalniach węgla kamiennego. Mechanizacja i Automatyzacja Górnictwa. 5–13. 2 indexed citations
13.
Sikora, Marek, et al.. (2009). W kierunku większych możliwości oceny zagrożenia sejsmicznego - systemy Hestia i Hestia Mapa. Mechanizacja i Automatyzacja Górnictwa. 5–12. 1 indexed citations
14.
Sikora, Marek. (2007). Application of machine learning and soft computing techniques in monitoring systems' data analysis by example of dewater pumps monitoring system. Archives of Control Sciences. 17(4). 369–391. 2 indexed citations
15.
Sikora, Marek & Marcin Michalak. (2007). Analiza pracy silników przenośników ścianowych - propozycje raportów i wizualizacji. Mechanizacja i Automatyzacja Górnictwa. 17–26. 2 indexed citations
16.
Sikora, Marek, et al.. (2006). Application of machine learning for prediction a methane concentration in a coal-mine. Archives of Mining Sciences. 51(4). 475–492. 14 indexed citations
17.
Sikora, Marek, et al.. (2005). Zastosowanie metod eksploracji danych do analizy wydzielania się dwutlenku węgla w pomieszczeniach stacji odwadniania kopalń węgla kamiennego. Mechanizacja i Automatyzacja Górnictwa. 29–42. 3 indexed citations
18.
Sikora, Marek. (2005). An algorithm for generalization of decision rules by joining. Foundations of Computing and Decision Sciences. 227–239. 2 indexed citations
19.
Sikora, Marek. (2004). Integracja i zarządzanie danymi pochodzącymi z systemów monitorowania zagrożeń i procesów technologicznych w kopalniach węgla kamiennego. Mechanizacja i Automatyzacja Górnictwa. 42–48. 1 indexed citations
20.
Sikora, Marek. (2003). System wspomagania pracy stacji geofizycznej - HESTIA. Mechanizacja i Automatyzacja Górnictwa. 15–19. 1 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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