Katarzyna Musiał

2.5k total citations · 1 hit paper
81 papers, 1.5k citations indexed

About

Katarzyna Musiał is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Katarzyna Musiał has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistical and Nonlinear Physics, 30 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Katarzyna Musiał's work include Complex Network Analysis Techniques (50 papers), Opinion Dynamics and Social Influence (30 papers) and Advanced Graph Neural Networks (12 papers). Katarzyna Musiał is often cited by papers focused on Complex Network Analysis Techniques (50 papers), Opinion Dynamics and Social Influence (30 papers) and Advanced Graph Neural Networks (12 papers). Katarzyna Musiał collaborates with scholars based in Australia, United Kingdom and Poland. Katarzyna Musiał's co-authors include Bogdan Gabryś, Usman Naseem, Imran Razzak, Marcin Budka, Muhammad Imran, Krzysztof Juszczyszyn, Przemysław Kazienko, Tomasz Kajdanowicz, Piotr Bródka and Xuanyi Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Katarzyna Musiał

74 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey

2021 177 citations Bogdan Gabryś, Katarzyna Musiał et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katarzyna Musiał Australia	20	738	483	237	169	159	81	1.5k
Zhan Bu China	22	582 0.8×	1.0k 2.1×	278 1.2×	326 1.9×	130 0.8×	61	1.7k
Przemysław Kazienko Poland	23	791 1.1×	454 0.9×	439 1.9×	186 1.1×	196 1.2×	117	2.1k
Liang Zhao United States	22	988 1.3×	334 0.7×	271 1.1×	243 1.4×	263 1.7×	192	2.0k
Giancarlo Sperlí Italy	26	685 0.9×	235 0.5×	394 1.7×	268 1.6×	190 1.2×	89	1.6k
Jaewon Yang United States	15	603 0.8×	939 1.9×	338 1.4×	242 1.4×	169 1.1×	34	1.8k
Charu C. Aggarwal United States	13	600 0.8×	340 0.7×	195 0.8×	174 1.0×	101 0.6×	24	1.1k
Chi Ho Yeung Hong Kong	18	440 0.6×	1.1k 2.2×	529 2.2×	314 1.9×	160 1.0×	64	2.3k
Jiaying Liu China	19	565 0.8×	269 0.6×	333 1.4×	79 0.5×	107 0.7×	42	1.1k
Martin Atzmueller Germany	18	505 0.7×	378 0.8×	311 1.3×	224 1.3×	167 1.1×	143	1.3k
Giacomo Fiumara Italy	20	403 0.5×	467 1.0×	295 1.2×	175 1.0×	91 0.6×	57	1.4k

Countries citing papers authored by Katarzyna Musiał

Since Specialization

Citations

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

Fields of papers citing papers by Katarzyna Musiał

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Musiał

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

Liu, Xueyan, et al.. (2025). Stochastic Block Models for Complex Network Analysis: A Survey. ACM Transactions on Knowledge Discovery from Data. 19(3). 1–35. 1 indexed citations

Peng, Jian, et al.. (2025). Adaptive Ensemble-Based Hyperparameter-Free Just-In-Time Learning for Robust Cell Culture Process Monitoring. Procedia Computer Science. 264. 157–166. 1 indexed citations

Gabryś, Bogdan, et al.. (2024). Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators. 76. 1–8. 1 indexed citations

Meo, Pasquale De, et al.. (2024). Network disruption via continuous batch removal: The case of Sicilian Mafia. PLoS ONE. 19(8). e0308722–e0308722.

Kedziora, David Jacob, et al.. (2023). The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry. RePEc: Research Papers in Economics. 7(1-2). 1–252. 4 indexed citations

Kedziora, David Jacob, et al.. (2023). On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning. Expert Systems with Applications. 239. 122359–122359. 2 indexed citations

Gabryś, Bogdan, et al.. (2023). On the Effectiveness of Heterogeneous Ensembles Combining Graph Neural Networks and Heuristics for Dynamic Link Prediction. IEEE Transactions on Network Science and Engineering. 11(4). 3250–3259. 1 indexed citations

Goubert, Liesbet, et al.. (2022). Encoding edge type information in graphlets. PLoS ONE. 17(8). e0273609–e0273609. 4 indexed citations

Jin, Di, et al.. (2022). Community Detection in Social Networks Considering Social Behaviors. IEEE Access. 10. 109969–109982. 5 indexed citations

10.

Musiał, Katarzyna, et al.. (2022). Using Emotional Learning Analytics to Improve Students’ Engagement in Online Learning. ASCILITE Publications. e22129–e22129. 3 indexed citations

11.

Gabryś, Bogdan, et al.. (2021). Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey. IEEE Access. 9. 79143–79168. 177 indexed citations breakdown →

12.

Dong, Xuanyi, Lu Liu, Katarzyna Musiał, & Bogdan Gabryś. (2021). NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(7). 1–1. 96 indexed citations

13.

Liu, Xueyan, Bo Yang, Hechang Chen, et al.. (2021). A Scalable Redefined Stochastic Blockmodel. ACM Transactions on Knowledge Discovery from Data. 15(3). 1–28. 15 indexed citations

14.

Gabryś, Bogdan, et al.. (2021). Directed closure coefficient and its patterns. PLoS ONE. 16(6). e0253822–e0253822. 11 indexed citations

15.

Musiał, Katarzyna, Piotr Bródka, & Pasquale De Meo. (2019). Analysis and Applications of Complex Social Networks 2018. Complexity. 2019(1). 3 indexed citations

16.

Budka, Marcin, et al.. (2018). NetSim – The framework for complex network generator. Procedia Computer Science. 126. 547–556. 7 indexed citations

17.

Musiał, Katarzyna, Piotr Bródka, & Pasquale De Meo. (2017). Analysis and Applications of Complex Social Networks. Complexity. 2017. 1–2. 28 indexed citations

18.

Juszczyszyn, Krzysztof, Katarzyna Musiał, & Marcin Budka. (2011). On analysis of complex network dynamics – changes in local topology. Bournemouth University Research Online (Bournemouth University). 2 indexed citations

19.

Juszczyszyn, Krzysztof, Katarzyna Musiał, & Marcin Budka. (2011). Link Prediction Based on Subgraph Evolution in Dynamic Social Networks. 27–34. 39 indexed citations

20.

Musiał, Katarzyna, Krzysztof Juszczyszyn, & Przemysław Kazienko. (2008). Ontology-based recommendation in multimedia sharing systems. Systems Science. 34(1). 97–106. 9 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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