Alan A. Kaptanoglu

21 papers receiving 410 citations

Alan A. Kaptanoglu's Hit Papers

PySINDy: A comprehensive Python package for robust sparse system identification 2022 · 105 citations
1050+1+2Years since publication255075100

Peers

Alan A. Kaptanoglu
Comparison fields: 5 of 60
  • Statistical and Nonlinear Physics 227
  • Statistics, Probability and Uncertainty 69
  • Nuclear and High Energy Physics 95
  • Computational Mechanics 82
  • Control and Systems Engineering 82
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Countries citing papers authored by Alan A. Kaptanoglu

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Citations

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

Fields of papers citing papers by Alan A. Kaptanoglu

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan A. Kaptanoglu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan A. Kaptanoglu Line = papers co-authored together Alan A. Kaptanoglu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PySINDy: A comprehensive Python package for robust sparse system identification
Hit paper breakdown →
2022105
2 202166
3 202165
4 202044
5 202321
6 202118
7 202317
8 202215
9 202314
10 202310
11 20229
12 20238
13 20206
14 20206
15 20245
16 20234
17 20243
18 20203
19 20242
20 20252

About Alan A. Kaptanoglu

Alan A. Kaptanoglu is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Aerospace Engineering, Computational Mechanics and Biomedical Engineering, having authored 23 papers that have together received 424 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (12 papers), Model Reduction and Neural Networks (9 papers), Superconducting Materials and Applications (5 papers), Particle accelerators and beam dynamics (3 papers), Fluid Dynamics and Turbulent Flows (3 papers), Laser-Plasma Interactions and Diagnostics (3 papers), Neural Networks and Reservoir Computing (2 papers) and Ionosphere and magnetosphere dynamics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (227 citations), Statistics, Probability and Uncertainty (69 citations), Nuclear and High Energy Physics (95 citations), Computational Mechanics (82 citations) and Control and Systems Engineering (82 citations). Alan A. Kaptanoglu has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Steven L. Brunton, C. Hansen, Jared Callaham, Matt Landreman, Aleksandr Y. Aravkin, Zachary G. Nicolaou, Urban Fasel, J. Nathan Kutz, Kadierdan Kaheman and Charles B. Delahunt. Their work appears in journals such as Nuclear Fusion, Physics of Plasmas, Physical review. E, Computer Physics Communications and Physical Review Applied.

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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