Marcin Mirończuk
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Sociology and Political Science
- Topics
- Advanced Text Analysis Techniques (5 papers)Topic Modeling (3 papers)Web Data Mining and Analysis (3 papers)
In The Last Decade
Marcin Mirończuk
15 papers receiving 233 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 182
- Information Systems 69
- Computer Vision and Pattern Recognition 25
- Management Science and Operations Research 23
- Sociology and Political Science 19
Countries citing papers authored by Marcin Mirończuk
This map shows the geographic impact of Marcin Mirończuk'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 Marcin Mirończuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Mirończuk more than expected).
Fields of papers citing papers by Marcin Mirończuk
This network shows the impact of papers produced by Marcin Mirończuk. 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 Marcin Mirończuk. The network helps show where Marcin Mirończuk may publish in the future.
Co-authorship network of co-authors of Marcin Mirończuk
This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Mirończuk. A scholar is included among the top collaborators of Marcin Mirończuk 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 Marcin Mirończuk. Marcin Mirończuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 194 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | The method of designing the knowledge database and rules for a text segmentation tool based on Formal concept analysis | 1 |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | Propozycja mieszanego przetwarzania półstrukturalnego modelu opisu zdarzeń z akcji ratowniczo-gaśniczych Państwowej Straży Pożarnej PSP3 | 1 |
| 15 | Przegląd metod i technik eksploracji danych tekstowych | 1 |
| 16 | System informacyjny na temat sieci hydrantów dla krajowego systemu ratowniczo-gaśniczego: metoda segmentacji tekstu i jej ocena | 2 |
| 17 | Proces i metody eksploracji danych tekstowych do przetwarzania raportów z akcji ratowniczo-gaśniczych | 2 |
| 18 | Wykorzystanie komponentów platformy ERP do budowy drugiej generacji hybrydowego systemu wspomagania decyzji dla PSP | 0 |
| 19 | Eksploracja danych w kontekście procesu Knowledge Discovery In Databases (KDD) i metodologii Cross-Industry Standard Process For Data Mining (CRISP-DM) | 5 |
| 20 | Problematyka projektowania modelu hybrydowego systemu wspomagania decyzji dla Państwowej Straży Pożarnej | 6 |
About Marcin Mirończuk
Marcin Mirończuk is a scholar working on Computer Graphics and Computer-Aided Design, Management Science and Operations Research and Information Systems, having authored 22 papers that have together received 260 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (5 papers), Topic Modeling (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (182 citations), Information Systems (69 citations) and Management Science and Operations Research (23 citations). Marcin Mirończuk has collaborated with scholars based in Poland, Canada and Czechia. Frequent co-authors include Jarosław Protasiewicz, Witold Pedrycz, Jacek Mańdziuk, Mieczysław A. Kłopotek and Marcin Sydow. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Neural Networks.
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.