Marcin Blachnik
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Data Stream Mining Techniques
- Neural Networks and Applications
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- Advanced Manufacturing and Logistics Optimization
Papers in
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- Machine Learning and Data Classification 9
- Imbalanced Data Classification Techniques 3
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- Face and Expression Recognition 3
- Co-authors
- Mirosław Kordos (6 shared papers)Włodzisław Duch (3 shared papers)Jacek Biesiada (1 shared paper)Álvar Arnaiz‐González (1 shared paper)César García‐Osorio (1 shared paper)Rafał Scherer (1 shared paper)S. Golak (4 shared papers)Dominika Dąbrowska (2 shared papers)
In The Last Decade
Marcin Blachnik
22 papers receiving 227 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 134
- Industrial and Manufacturing Engineering 27
- Computer Vision and Pattern Recognition 45
- Software 8
- Signal Processing 12
Countries citing papers authored by Marcin Blachnik
This map shows the geographic impact of Marcin Blachnik'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 Blachnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Blachnik more than expected).
Fields of papers citing papers by Marcin Blachnik
This network shows the impact of papers produced by Marcin Blachnik. 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 Blachnik. The network helps show where Marcin Blachnik may publish in the future.
Co-authors
The 12 scholars most cited alongside Marcin Blachnik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 58 | |
| 2 | 2015 | 33 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 21 | |
| 5 | 2011 | 15 | |
| 6 | 2014 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2015 | 3 | |
| 14 | 2016 | 2 | |
| 15 | 2015 | 2 | |
| 16 | Heterogeneous distance functions for prototype rules : influence of parameters on probability estimation | 2006 | 1 |
| 17 | Budowa inteligentnego modelu procesu roztapiania złomu w piecu łukowym z wykorzystaniem sieci neuronowo-rozmytych | 2008 | 1 |
| 18 | 2025 | 1 | |
| 19 | 2026 | 1 | |
| 20 | 2021 | 1 |
About Marcin Blachnik
Marcin Blachnik is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Computational Theory and Mathematics, having authored 26 papers that have together received 236 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (9 papers), Data Mining Algorithms and Applications (3 papers), Face and Expression Recognition (3 papers), Imbalanced Data Classification Techniques (3 papers), Electric Power System Optimization (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Amphibian and Reptile Biology (2 papers). The work is most often cited by research in Artificial Intelligence (134 citations), Industrial and Manufacturing Engineering (27 citations), Computer Vision and Pattern Recognition (45 citations), Software (8 citations) and Signal Processing (12 citations). Marcin Blachnik has collaborated with scholars based in Poland, Singapore and Spain. Frequent co-authors include Mirosław Kordos, Włodzisław Duch, Jacek Biesiada, Álvar Arnaiz‐González, César García‐Osorio, Rafał Scherer, S. Golak, Dominika Dąbrowska, R. Przyłucki and Andrzej Rusiecki. Their work appears in journals such as Applied Sciences, Energies, Sensors, Information Sciences and Electronics.
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.