Kadierdan Kaheman

608 total citations · 1 hit paper
6 papers, 332 citations indexed

About

Kadierdan Kaheman is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Kadierdan Kaheman has authored 6 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 4 papers in Statistical and Nonlinear Physics and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Kadierdan Kaheman's work include Model Reduction and Neural Networks (4 papers), Probabilistic and Robust Engineering Design (3 papers) and Control Systems and Identification (3 papers). Kadierdan Kaheman is often cited by papers focused on Model Reduction and Neural Networks (4 papers), Probabilistic and Robust Engineering Design (3 papers) and Control Systems and Identification (3 papers). Kadierdan Kaheman collaborates with scholars based in United States, Canada and United Kingdom. Kadierdan Kaheman's co-authors include Steven L. Brunton, J. Nathan Kutz, Charles B. Delahunt, Brian M. de Silva, Jared Callaham, Kathleen Champion, Jean-Christophe Loiseau, Alan A. Kaptanoglu, Zachary G. Nicolaou and Urban Fasel and has published in prestigious journals such as Nonlinear Dynamics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Machine Learning Science and Technology.

In The Last Decade

Kadierdan Kaheman

6 papers receiving 321 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PySINDy: A comprehensive Python package for robust sparse system identification

2022 105 citations Alan A. Kaptanoglu, Brian M. de Silva et al. The Journal of Open Source Software profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kadierdan Kaheman United States	4	205	104	88	71	44	6	332
Kathleen Champion United States	3	221 1.1×	95 0.9×	82 0.9×	75 1.1×	52 1.2×	4	339
Brian M. de Silva United States	5	157 0.8×	78 0.8×	64 0.7×	54 0.8×	42 1.0×	6	264
Markus Quade Germany	6	127 0.6×	58 0.6×	85 1.0×	56 0.8×	27 0.6×	8	248
J. Nathan Kutz United States	2	115 0.6×	74 0.7×	71 0.8×	27 0.4×	59 1.3×	2	352
Markus Abel Australia	7	77 0.4×	41 0.4×	61 0.7×	50 0.7×	27 0.6×	14	245
Tong Qin United States	7	203 1.0×	39 0.4×	68 0.8×	82 1.2×	165 3.8×	11	387
Yeonjong Shin United States	11	177 0.9×	49 0.5×	99 1.1×	85 1.2×	103 2.3×	20	342
Levi D. McClenny United States	6	195 1.0×	35 0.3×	58 0.7×	27 0.4×	68 1.5×	7	342
Panos Stinis United States	12	158 0.8×	29 0.3×	97 1.1×	55 0.8×	61 1.4×	43	400
Liqian Peng United States	9	154 0.8×	41 0.4×	30 0.3×	40 0.6×	103 2.3×	20	318

Countries citing papers authored by Kadierdan Kaheman

Since Specialization

Citations

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

Fields of papers citing papers by Kadierdan Kaheman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kadierdan Kaheman

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

All Works

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6 of 6 papers shown

1.

Kaheman, Kadierdan, et al.. (2025). Modeling and LQR control of insect sized flapping wing robot. 3(1). 2 indexed citations

2.

Kaheman, Kadierdan, et al.. (2023). The experimental multi-arm pendulum on a cart: A benchmark system for chaos, learning, and control. HardwareX. 15. e00465–e00465. 3 indexed citations

3.

Kaheman, Kadierdan, et al.. (2023). Saddle transport and chaos in the double pendulum. Nonlinear Dynamics. 111(8). 7199–7233. 7 indexed citations

4.

Kaptanoglu, Alan A., Brian M. de Silva, Urban Fasel, et al.. (2022). PySINDy: A comprehensive Python package for robust sparse system identification. The Journal of Open Source Software. 7(69). 3994–3994. 105 indexed citations breakdown →

5.

Kaheman, Kadierdan, Steven L. Brunton, & J. Nathan Kutz. (2022). Automatic differentiation to simultaneously identify nonlinear dynamics and extract noise probability distributions from data. Machine Learning Science and Technology. 3(1). 15031–15031. 51 indexed citations

6.

Kaheman, Kadierdan, J. Nathan Kutz, & Steven L. Brunton. (2020). SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 476(2242). 20200279–20200279. 164 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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