Mario Boley

1.3k total citations
41 papers, 506 citations indexed

About

Mario Boley is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Mario Boley has authored 41 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Information Systems and 13 papers in Signal Processing. Recurrent topics in Mario Boley's work include Data Mining Algorithms and Applications (13 papers), Data Management and Algorithms (10 papers) and Machine Learning in Materials Science (7 papers). Mario Boley is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Data Management and Algorithms (10 papers) and Machine Learning in Materials Science (7 papers). Mario Boley collaborates with scholars based in Germany, Australia and Switzerland. Mario Boley's co-authors include Jilles Vreeken, Matthias Scheffler, Luca M. Ghiringhelli, Henrik Großkreutz, Thomas Gärtner, Christopher Sutton, N. Birbilis, Philip N. H. Nakashima, Matthias Rupp and Stefan Wrobel and has published in prestigious journals such as Nature Communications, NeuroImage and Journal of Hazardous Materials.

In The Last Decade

Mario Boley

36 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario Boley Germany	14	176	152	148	141	69	41	506
Weining Zhang China	16	226 1.3×	101 0.7×	200 1.4×	76 0.5×	100 1.4×	65	976
Tian Yang China	18	259 1.5×	245 1.6×	235 1.6×	416 3.0×	61 0.9×	65	876
Jilin Yang China	13	192 1.1×	133 0.9×	198 1.3×	444 3.1×	49 0.7×	33	907
Yanyan Jiang China	14	170 1.0×	183 1.2×	79 0.5×	55 0.4×	155 2.2×	66	596
Yi Cao China	14	127 0.7×	98 0.6×	88 0.6×	30 0.2×	18 0.3×	58	619
Bingsheng Zhang China	15	55 0.3×	174 1.1×	182 1.2×	13 0.1×	52 0.8×	46	718

Countries citing papers authored by Mario Boley

Since Specialization

Citations

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

Fields of papers citing papers by Mario Boley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Boley

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

Rong, Zichao, Saumil Chheda, Zhiling Zheng, et al.. (2025). Algorithmic iterative reticular synthesis of zeolitic imidazolate framework crystals. Nature Synthesis. 5(3). 409–419.

Zhao, Yun, David B. Grayden, Mario Boley, et al.. (2025). Cortical stability and chaos during focal seizures: insights from inference-based modeling. Journal of Neural Engineering. 22(3). 36021–36021. 1 indexed citations

Zhao, Yun, Naotsugu Tsuchiya, Mario Boley, et al.. (2025). Cortical connectivity, local dynamics and stability correlates of global conscious states. Communications Biology. 8(1). 1391–1391.

Zhang, Daokun, et al.. (2024). Graph Neural Network-Based Molecular Property Prediction with Patch Aggregation. Journal of Chemical Theory and Computation. 20(20). 8886–8896. 3 indexed citations

Boley, Mario, et al.. (2024). Machine learning outperforms humans in microplastic characterization and reveals human labelling errors in FTIR data. Journal of Hazardous Materials. 487. 136989–136989. 6 indexed citations

Boley, Mario, et al.. (2024). An active machine learning approach for optimal design of magnesium alloys using Bayesian optimisation. Scientific Reports. 14(1). 8299–8299. 10 indexed citations

Zhao, Yun, David B. Grayden, Mario Boley, et al.. (2024). Inference-based time-resolved chaos analysis of brain models: application to focal epilepsy. 1–8. 1 indexed citations

Saunderson, James, et al.. (2023). A Predictive machine-learning model for propagation rate coefficients in radical polymerization. Polymer Chemistry. 14(14). 1622–1629. 18 indexed citations

Lu, Yiwen, et al.. (2023). Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly. Journal of Chemical Information and Modeling. 63(11). 3288–3306. 8 indexed citations

10.

Zhao, Yun, Mario Boley, Philippa J. Karoly, et al.. (2022). Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm. NeuroImage. 263. 119592–119592. 14 indexed citations

11.

Sutton, Christopher, Mario Boley, Luca M. Ghiringhelli, et al.. (2020). Identifying domains of applicability of machine learning models for materials science. Nature Communications. 11(1). 4428–4428. 98 indexed citations

12.

Boley, Mario, et al.. (2020). Discovering Functional Dependencies from Mixed-Type Data. Figshare. 1404–1414. 4 indexed citations

13.

Boley, Mario, et al.. (2020). Discovering dependencies with reliable mutual information. Knowledge and Information Systems. 62(11). 4223–4253. 4 indexed citations

14.

Boley, Mario & Ankit Kariryaa. (2016). On the intuitiveness of common discretization methods. Knowledge Discovery and Data Mining. 22–29. 1 indexed citations

15.

Boley, Mario, et al.. (2015). Creedo : scalable and repeatable extrinsic evaluation for pattern discovery systems by online user studies. Ghent University Academic Bibliography (Ghent University). 20–28.

16.

Gärtner, Thomas, Michael Kamp, & Mario Boley. (2014). Beating human analysts in nowcasting corporate earnings by using publicly available stock price and correlation features. Repository@Nottingham (University of Nottingham). 3 indexed citations

17.

Boley, Mario, Thomas Gärtner, & Henrik Großkreutz. (2010). Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining. 177–188. 18 indexed citations

18.

Boley, Mario, Tamás Horváth, Axel Poigné, & Stefan Wrobel. (2009). Listing closed sets of strongly accessible set systems with applications to data mining. Theoretical Computer Science. 411(3). 691–700. 25 indexed citations

19.

Boley, Mario, Tamás Horváth, & Stefan Wrobel. (2009). Efficient Discovery of Interesting Patterns Based on Strong Closedness. 1002–1013. 4 indexed citations

20.

Boley, Mario, Tamás Horváth, & Stefan Wrobel. (2009). Efficient discovery of interesting patterns based on strong closedness. Statistical Analysis and Data Mining The ASA Data Science Journal. 2(5-6). 346–360. 6 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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