Jacek Mańdziuk

2.3k total citations
103 papers, 1.1k citations indexed

About

Jacek Mańdziuk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Jacek Mańdziuk has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 13 papers in Economics and Econometrics. Recurrent topics in Jacek Mańdziuk's work include Neural Networks and Applications (20 papers), Artificial Intelligence in Games (17 papers) and Metaheuristic Optimization Algorithms Research (16 papers). Jacek Mańdziuk is often cited by papers focused on Neural Networks and Applications (20 papers), Artificial Intelligence in Games (17 papers) and Metaheuristic Optimization Algorithms Research (16 papers). Jacek Mańdziuk collaborates with scholars based in Poland, Singapore and United States. Jacek Mańdziuk's co-authors include Maciej Świechowski, Yew-Soon Ong, Abhishek Gupta, Włodzisław Duch, Chai Quek, Lokendra Shastri, Marcin Woźniak, Hyunsoo Park, Kyung-Joong Kim and Dawid Połap and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Jacek Mańdziuk

97 papers receiving 1.0k citations

Peers

Jacek Mańdziuk

IME

CVPR

CTM

Carlos Castro Chile

B. Bullnheimer Austria

Matthijs T. J. Spaan Netherlands

Stelios Tsafarakis Greece

Broderick Crawford Chile

Kun Deng United States

Jincai Huang China

Diederik M. Roijers Netherlands

José-Luís Pérez-de-la-Cruz Spain

Elias B. Khalil Canada

Carlos Castro Chile

Jacek Mańdziuk

403 ×0.7

276 ×1.2

IME

65 ×0.4

CVPR

104 ×0.7

CTM

31 ×0.3

Citations per year, relative to Jacek Mańdziuk Jacek Mańdziuk (= 1×) peers Carlos Castro

Countries citing papers authored by Jacek Mańdziuk

Since Specialization

Citations

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

Fields of papers citing papers by Jacek Mańdziuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Mańdziuk

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

Wang, Jian, et al.. (2025). Unsupervised Feature Selection for High-Order Embedding Learning and Sparse Learning. IEEE Transactions on Cybernetics. 55(5). 2355–2368. 1 indexed citations

Kowalski, Piotr A., et al.. (2025). Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks learning. Information Sciences. 713. 122185–122185. 3 indexed citations

Mańdziuk, Jacek, et al.. (2025). Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices. ACM Computing Surveys. 57(7). 1–36.

Wang, Jian, et al.. (2024). Expertise-informed Bayesian convolutional neural network for oil production forecasting. Geoenergy Science and Engineering. 240. 213061–213061. 6 indexed citations

Mirończuk, Marcin, et al.. (2024). Leveraging spiking neural networks for topic modeling. Neural Networks. 178. 106494–106494. 1 indexed citations

Wang, Jian, Jun Yao, El-Sayed M. El-Alfy, et al.. (2024). Theory guided Lagrange programming neural network for subsurface flow problems. Engineering Applications of Artificial Intelligence. 134. 108656–108656. 2 indexed citations

Wang, Jian, et al.. (2024). Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems. Knowledge-Based Systems. 295. 111809–111809. 8 indexed citations

Kasztelanic, Rafał, et al.. (2024). Predicting optical parameters of nanostructured optical fibers using machine learning algorithms. Engineering Applications of Artificial Intelligence. 132. 107921–107921. 2 indexed citations

Mańdziuk, Jacek, et al.. (2023). Cross-modal text and visual generation: A systematic review. Part 1: Image to text. Information Fusion. 93. 302–329. 14 indexed citations

10.

Mańdziuk, Jacek, et al.. (2023). Toward human-level tonal and modal melody harmonizations. Journal of Computational Science. 67. 101963–101963. 4 indexed citations

11.

Xie, Xuetao, Yi‐Fei Pu, Huaqing Zhang, et al.. (2023). An interpretable neural network for robustly determining the location and number of cluster centers. International Journal of Machine Learning and Cybernetics. 15(4). 1473–1501. 3 indexed citations

12.

Mańdziuk, Jacek, et al.. (2023). Duel-based neuroevolutionary method for Stackelberg Security Games with boundedly rational Attacker. Applied Soft Computing. 146. 110673–110673.

13.

Świechowski, Maciej, et al.. (2022). Monte Carlo Tree Search: a review of recent modifications and applications. Artificial Intelligence Review. 56(3). 2497–2562. 11 indexed citations

14.

Mańdziuk, Jacek, et al.. (2022). Sequential Stackelberg Games with bounded rationality. Applied Soft Computing. 132. 109846–109846. 7 indexed citations

15.

Mańdziuk, Jacek, et al.. (2022). Training CNN Classifiers Solely on Webly Data. Journal of Artificial Intelligence and Soft Computing Research. 13(1). 75–92. 2 indexed citations

16.

Mańdziuk, Jacek, et al.. (2022). An overview of mixing augmentation methods and augmentation strategies. Artificial Intelligence Review. 56(3). 2111–2169. 48 indexed citations

17.

Mańdziuk, Jacek, et al.. (2022). Multi-Label Contrastive Learning for Abstract Visual Reasoning. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 1941–1953. 23 indexed citations

18.

Mańdziuk, Jacek, et al.. (2021). Evolution of Strategies in Sequential Security Games. Autonomous Agents and Multi-Agent Systems. 1434–1442. 4 indexed citations

19.

Mańdziuk, Jacek, et al.. (2021). Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5215–5228. 8 indexed citations

20.

Mańdziuk, Jacek, et al.. (2019). A Monte Carlo Tree Search approach to finding efficient patrolling schemes on graphs. European Journal of Operational Research. 277(1). 255–268. 13 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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