Anna Wilbik

1.5k total citations
79 papers, 764 citations indexed

About

Anna Wilbik is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Anna Wilbik has authored 79 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 29 papers in Signal Processing and 20 papers in Information Systems. Recurrent topics in Anna Wilbik's work include Data Management and Algorithms (27 papers), Semantic Web and Ontologies (14 papers) and Data Mining Algorithms and Applications (12 papers). Anna Wilbik is often cited by papers focused on Data Management and Algorithms (27 papers), Semantic Web and Ontologies (14 papers) and Data Mining Algorithms and Applications (12 papers). Anna Wilbik collaborates with scholars based in Netherlands, Poland and United States. Anna Wilbik's co-authors include Janusz Kacprzyk, Sławomir Zadrożny, James M. Keller, Remco Dijkman, Gregory L. Alexander, Paul Grefen, James C. Bezdek, Uzay Kaymak, Marijn ten Thij and Ronald R. Yager and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Chromatography A and Expert Systems with Applications.

In The Last Decade

Anna Wilbik

69 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Wilbik Netherlands	16	471	305	159	155	109	79	764
Cheng‐Jung Tsai Taiwan	10	443 0.9×	131 0.4×	112 0.7×	251 1.6×	96 0.9×	27	768
Fernando Bobillo Spain	19	892 1.9×	247 0.8×	340 2.1×	383 2.5×	117 1.1×	60	1.2k
Gholamreza Nakhaeizadeh Germany	7	321 0.7×	155 0.5×	210 1.3×	424 2.7×	44 0.4×	19	707
YongSeog Kim United States	8	939 2.0×	202 0.7×	46 0.3×	146 0.9×	181 1.7×	10	1.2k
C. J. Carmona Spain	16	654 1.4×	81 0.3×	111 0.7×	385 2.5×	60 0.6×	46	914
Szymon Jaroszewicz Poland	14	223 0.5×	73 0.2×	103 0.6×	188 1.2×	73 0.7×	38	601
Sumitra Mukherjee United States	10	481 1.0×	76 0.2×	53 0.3×	102 0.7×	128 1.2×	36	693
W. Scott Spangler United States	10	356 0.8×	108 0.4×	59 0.4×	160 1.0×	51 0.5×	17	663
Annette ten Teije Netherlands	19	740 1.6×	45 0.1×	95 0.6×	204 1.3×	106 1.0×	81	1.1k
Chien-Chung Chan United States	13	313 0.7×	71 0.2×	311 2.0×	284 1.8×	85 0.8×	42	641

Countries citing papers authored by Anna Wilbik

Since Specialization

Citations

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

Fields of papers citing papers by Anna Wilbik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Wilbik

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

Thij, Marijn ten, et al.. (2025). VFL-RPS: Relevant Participant Selection in Vertical Federated Learning. Research Publications (Maastricht University). 1–8.

Türetken, Oktay, et al.. (2025). Supporting value negotiation for collaborative business models: A guiding method to structure information exchange. Journal of Engineering and Technology Management. 76. 101877–101877.

Thij, Marijn ten, et al.. (2025). Vertical federated learning: a structured literature review. Knowledge and Information Systems. 67(4). 3205–3243. 3 indexed citations

Mommers, John, et al.. (2025). MASSISTANT: A deep learning model for De Novo molecular structure prediction from EI‑MS spectra via SELFIES encoding. Journal of Chromatography A. 1759. 466216–466216.

Wilbik, Anna, et al.. (2024). Towards Unsupervised Sudden Data Drift Detection in Federated Learning with Fuzzy Clustering. Research Publications (Maastricht University). 1–8. 3 indexed citations

Eshuis, Rik, et al.. (2024). Guidance for goal achievement in knowledge-intensive processes using intuitionistic fuzzy sets. Expert Systems with Applications. 260. 125417–125417. 1 indexed citations

Wilbik, Anna, et al.. (2024). Breaking Boundaries Initiative: Workshop on Industry-Academia Collaboration [Technical Activities]. IEEE Computational Intelligence Magazine. 19(1). 16–19.

Grefen, Paul, Irene Vanderfeesten, Anna Wilbik, et al.. (2023). Towards Customer Outcome Management in Smart Manufacturing. Machines. 11(6). 636–636. 2 indexed citations

Wilbik, Anna, et al.. (2023). Explainable Search: An Exploratory Study in SameGame. Research Publications (Maastricht University). 1–4.

10.

Wilbik, Anna, Irene Vanderfeesten, Dennis C. J. J. Bergmans, et al.. (2023). Towards a Flexible Assessment of Compliance with Clinical Protocols Using Fuzzy Aggregation Techniques. Algorithms. 16(2). 109–109. 1 indexed citations

11.

Wilbik, Anna, et al.. (2023). The Sugeno Integral Used for Federated Learning with Uncertainty for Unbalanced Data. Research Publications (Maastricht University). 1–6. 2 indexed citations

12.

Wilbik, Anna, et al.. (2022). Explanation of Anomalies in Business Process Event Logs with Linguistic Summaries. Research Publications (Maastricht University). 1–7. 1 indexed citations

13.

Wilbik, Anna, et al.. (2021). Defining business model key performance indicators using intentional linguistic summaries. Software & Systems Modeling. 20(4). 965–996. 11 indexed citations

14.

Türetken, Oktay, et al.. (2021). Evaluating the Design of Service-Dominant Business Models: A Qualitative Method. Pacific Asia journal of the Association for Information Systems. 13. 36–70. 13 indexed citations

15.

Zhang, Yingqian, et al.. (2019). Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search. TU/e Research Portal. 285–293. 1 indexed citations

16.

Wilbik, Anna, et al.. (2018). Improved testing for vitamin B₁₂ deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B₁₂ deficient. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 55(6). 685–692. 9 indexed citations

17.

Wilbik, Anna, et al.. (2017). An Enhanced Approach to Rule Base Simplification of First-Order Takagi-Sugeno Fuzzy Inference Systems.. TU/e Research Portal (Eindhoven University of Technology). 92–103. 3 indexed citations

18.

Chen, Peipei, et al.. (2017). Finding the Optimal Number of Features Based on Mutual Information.. TU/e Research Portal (Eindhoven University of Technology). 477–486. 2 indexed citations

19.

Kacprzyk, Janusz & Anna Wilbik. (2009). Using fuzzy linguistic summaries for the comparison of time series: an application to the analysis of investment fund quotations. Data Archiving and Networked Services (DANS). 1321–1326. 25 indexed citations

20.

Kacprzyk, Janusz & Anna Wilbik. (2008). An extended, specificity based approach to linguistic summarization of time series. TU/e Research Portal (Eindhoven University of Technology). 551–559. 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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