Michael A. Schuh

471 total citations
21 papers, 234 citations indexed

About

Michael A. Schuh is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael A. Schuh has authored 21 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Astronomy and Astrophysics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael A. Schuh's work include Solar and Space Plasma Dynamics (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Data Management and Algorithms (6 papers). Michael A. Schuh is often cited by papers focused on Solar and Space Plasma Dynamics (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Data Management and Algorithms (6 papers). Michael A. Schuh collaborates with scholars based in United States, Greece and Canada. Michael A. Schuh's co-authors include Rafal A. Angryk, P. C. H. Martens, Dustin Kempton, Juan M. Banda, Berkay Aydin, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi, Azim Ahmadzadeh, Manolis K. Georgoulis and Sunitha Basodi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and The Astrophysical Journal Supplement Series.

In The Last Decade

Michael A. Schuh

20 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael A. Schuh United States	8	99	84	77	55	37	21	234
Dustin Kempton United States	10	110 1.1×	98 1.2×	104 1.4×	52 0.9×	37 1.0×	24	255
Jaemin Yoo South Korea	10	149 1.5×	20 0.2×	19 0.2×	77 1.4×	26 0.7×	28	294
Dong Zheng China	8	165 1.7×	15 0.2×	16 0.2×	41 0.7×	89 2.4×	37	288
Radha Mohan Pattanayak India	8	53 0.5×	51 0.6×	13 0.2×	15 0.3×	32 0.9×	14	200
R. B. Mishra India	9	179 1.8×	11 0.1×	21 0.3×	58 1.1×	68 1.8×	45	275
Zhipeng Wang China	7	59 0.6×	7 0.1×	34 0.4×	11 0.2×	94 2.5×	25	216
Georgios Giasemidis United Kingdom	7	88 0.9×	6 0.1×	13 0.2×	29 0.5×	12 0.3×	11	304
Tom Auld United Kingdom	3	356 3.6×	116 1.4×	29 0.4×	26 0.5×	54 1.5×	4	413
Paulo Gonçalvés France	9	211 2.1×	45 0.5×	2 0.0×	30 0.5×	24 0.6×	20	290

Countries citing papers authored by Michael A. Schuh

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Schuh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Schuh

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

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

Beyer, C. J., Stefan Dietrich, Patrick Fuhrmann, et al.. (2020). Beyond HEP: Photon and accelerator science computing infrastructure at DESY. SHILAP Revista de lepidopterología. 245. 7036–7036. 1 indexed citations

Kempton, Dustin, Michael A. Schuh, & Rafal A. Angryk. (2018). Tracking Solar Phenomena from the SDO. The Astrophysical Journal. 869(1). 54–54. 2 indexed citations

Boubrahimi, Soukaïna Filali, Berkay Aydin, Michael A. Schuh, et al.. (2018). Spatiotemporal Interpolation Methods for Solar Event Trajectories. The Astrophysical Journal Supplement Series. 236(1). 23–23. 12 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

Ahmadzadeh, Azim, Dustin Kempton, Michael A. Schuh, & Rafal A. Angryk. (2017). Improving the functionality of tamura directionality on solar images. 2518–2526. 3 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

Schuh, Michael A., Rafal A. Angryk, & P. C. H. Martens. (2016). A large-scale dataset of solar event reports from automated feature recognition modules. Journal of Space Weather and Space Climate. 6. A22–A22. 7 indexed citations

Kempton, Dustin, Michael A. Schuh, & Rafal A. Angryk. (2016). Describing solar images with sparse coding for similarity search. 3168–3176.

10.

Schuh, Michael A. & Rafal A. Angryk. (2016). On the theory and practice of high-dimensional data indexing with iDistance. 3593–3600. 1 indexed citations

11.

Schuh, Michael A., et al.. (2015). Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results. Journal of Combinatorial Optimization. 32(4). 1107–1132. 2 indexed citations

12.

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

13.

Banda, Juan M., Rafal A. Angryk, Michael A. Schuh, & P. C. H. Martens. (2014). Image retrieval on compressed images: Can we tell the difference?. 1–6. 2 indexed citations

14.

Schuh, Michael A. & Rafal A. Angryk. (2014). Massive labeled solar image data benchmarks for automated feature recognition. 53–60. 9 indexed citations

15.

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

16.

Schuh, Michael A., et al.. (2013). A large-scale solar image dataset with labeled event regions. 4349–4353. 32 indexed citations

17.

Schuh, Michael A., et al.. (2013). An IEEE standards-based visualization tool for knowledge discovery in maintenance event sequences. IEEE Aerospace and Electronic Systems Magazine. 28(7). 30–39. 2 indexed citations

18.

Schuh, Michael A., Rafal A. Angryk, & John W. Sheppard. (2012). Evolving Kernel Functions with Particle Swarms and Genetic Programming. The Florida AI Research Society. 7 indexed citations

19.

Schuh, Michael A., et al.. (2011). Ontology-guided knowledge discovery of event sequences in maintenance data. 279–285. 6 indexed citations

20.

Sheppard, John W., et al.. (2011). Graph-based ontology-guided data mining for D-matrix model maturation. 2244. 1–12. 12 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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