Rafal A. Angryk

2.5k total citations
142 papers, 1.1k citations indexed

About

Rafal A. Angryk is a scholar working on Artificial Intelligence, Signal Processing and Astronomy and Astrophysics. According to data from OpenAlex, Rafal A. Angryk has authored 142 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 55 papers in Signal Processing and 42 papers in Astronomy and Astrophysics. Recurrent topics in Rafal A. Angryk's work include Data Management and Algorithms (44 papers), Solar and Space Plasma Dynamics (42 papers) and Data Mining Algorithms and Applications (29 papers). Rafal A. Angryk is often cited by papers focused on Data Management and Algorithms (44 papers), Solar and Space Plasma Dynamics (42 papers) and Data Mining Algorithms and Applications (29 papers). Rafal A. Angryk collaborates with scholars based in United States, Greece and Poland. Rafal A. Angryk's co-authors include Berkay Aydin, Juan M. Banda, P. C. H. Martens, Dustin Kempton, Michael A. Schuh, Soukaïna Filali Boubrahimi, Ruizhe Ma, Shah Muhammad Hamdi, Manolis K. Georgoulis and Azim Ahmadzadeh and has published in prestigious journals such as The Astrophysical Journal, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Astrophysical Journal Supplement Series.

In The Last Decade

Rafal A. Angryk

133 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rafal A. Angryk United States	16	474	340	309	266	220	142	1.1k
Zhihui Du China	18	244 0.5×	121 0.4×	85 0.3×	85 0.3×	531 2.4×	135	1.3k
Kamal Ali United States	11	476 1.0×	88 0.3×	28 0.1×	168 0.6×	336 1.5×	22	877
Heeyoul Choi South Korea	14	201 0.4×	82 0.2×	58 0.2×	170 0.6×	36 0.2×	55	681
Nikolaos Passalis Greece	25	1.3k 2.8×	157 0.5×	29 0.1×	474 1.8×	73 0.3×	155	2.2k
Vincent Oria United States	12	419 0.9×	1.0k 3.0×	28 0.1×	447 1.7×	117 0.5×	66	1.4k
Camil Demetrescu Italy	20	253 0.5×	228 0.7×	27 0.1×	148 0.6×	173 0.8×	88	1.2k
Sreerama K. Murthy United States	6	690 1.5×	100 0.3×	18 0.1×	138 0.5×	382 1.7×	9	1.2k
Davoud Moulavi Canada	6	364 0.8×	129 0.4×	26 0.1×	106 0.4×	56 0.3×	8	716
Jeremy Kubica United States	11	366 0.8×	50 0.1×	107 0.3×	192 0.7×	304 1.4×	31	891
Kolla Bhanu Prakash India	13	182 0.4×	29 0.1×	65 0.2×	90 0.3×	94 0.4×	72	625

Countries citing papers authored by Rafal A. Angryk

Since Specialization

Citations

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

Fields of papers citing papers by Rafal A. Angryk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafal A. Angryk. 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 Rafal A. Angryk. The network helps show where Rafal A. Angryk may publish in the future.

Co-authorship network of co-authors of Rafal A. Angryk

This figure shows the co-authorship network connecting the top 25 collaborators of Rafal A. Angryk. A scholar is included among the top collaborators of Rafal A. Angryk 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 Rafal A. Angryk. Rafal A. Angryk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ahmadzadeh, Azim, et al.. (2025). Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning–based Solar Flare Prediction. The Astrophysical Journal Supplement Series. 277(2). 60–60.

Georgoulis, Manolis K., et al.. (2023). A Systematic Magnetic Polarity Inversion Line Data Set from SDO/HMI Magnetograms. The Astrophysical Journal Supplement Series. 265(1). 28–28. 5 indexed citations

Angryk, Rafal A., P. C. H. Martens, Berkay Aydin, et al.. (2020). Multivariate time series dataset for space weather data analytics. Scientific Data. 7(1). 227–227. 95 indexed citations

Ahmadzadeh, Azim, et al.. (2019). Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis. 4960–4966. 9 indexed citations

Ahmadzadeh, Azim, et al.. (2019). Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. 1814–1820. 8 indexed citations

Angryk, Rafal A., et al.. (2017). Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures.. The Florida AI Research Society. 520–525. 13 indexed citations

Schuh, Michael A., Dustin Kempton, & Rafal A. Angryk. (2017). A Region-Based Retrieval System for Heliophysics Imagery.. The Florida AI Research Society. 526–531. 1 indexed citations

Aydin, Berkay, Rafal A. Angryk, Soukaïna Filali Boubrahimi, & Shah Muhammad Hamdi. (2016). Spatiotemporal Frequent Pattern Discovery from Solar Event Metadata. AGU Fall Meeting Abstracts. 1 indexed citations

Küçük, Ayşegül, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, & Rafal A. Angryk. (2016). Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. 81–88. 6 indexed citations

10.

Boubrahimi, Soukaïna Filali, et al.. (2016). Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances. 97–104. 9 indexed citations

11.

Schuh, Michael A., et al.. (2014). Mitigating the Curse of Dimensionality for Exact kNN Retrieval. The Florida AI Research Society. 8 indexed citations

12.

Aydin, Berkay, et al.. (2014). ERMO-DG: Evolving Region Moving Object Dataset Generator. The Florida AI Research Society. 7 indexed citations

13.

Banda, Juan M., et al.. (2013). Introducing the first publicly available Content-Based Image-Retrieval system for the Solar Dynamics Observatory mission. 4 indexed citations

14.

Schuh, Michael A., et al.. (2013). Cluster Analysis for Optimal Indexing. The Florida AI Research Society. 1 indexed citations

15.

Angryk, Rafal A.. (2009). Attribute-oriented defuzzification of fuzzy database tuples with categorical entries. Control and Cybernetics. 38(2). 419–453. 1 indexed citations

16.

Angryk, Rafal A., et al.. (2008). An example based image retrieval system for the TRACE repository. Proceedings - International Conference on Pattern Recognition. 1–4. 3 indexed citations

17.

Hossain, M. Shahriar & Rafal A. Angryk. (2007). GDClust: A Graph-Based Document Clustering Technique. 417–422. 25 indexed citations

18.

Angryk, Rafal A., et al.. (2004). Fuzzy induction in dynamic user profiling for information filtering. National Conference on Artificial Intelligence. 125(5). 946–947.

19.

Angryk, Rafal A., et al.. (2002). Travel Support System - an Agent-Biased Framework.. International Conference on Internet Computing. 719–725. 12 indexed citations

20.

Angryk, Rafal A.. (2001). MICO, An Open Source CORBA Implementation. Scalable Computing Practice and Experience. 4(3). 10 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.

Explore authors with similar magnitude of impact