Christopher Rackauckas

4.3k total citations · 1 hit paper
44 papers, 1.3k citations indexed

About

Christopher Rackauckas is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Christopher Rackauckas has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 13 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Christopher Rackauckas's work include Model Reduction and Neural Networks (14 papers), Probabilistic and Robust Engineering Design (5 papers) and Advanced Data Storage Technologies (4 papers). Christopher Rackauckas is often cited by papers focused on Model Reduction and Neural Networks (14 papers), Probabilistic and Robust Engineering Design (5 papers) and Advanced Data Storage Technologies (4 papers). Christopher Rackauckas collaborates with scholars based in United States, Germany and Norway. Christopher Rackauckas's co-authors include Qing Nie, Vaibhav Dixit, Thomas F. Schilling, Elisabeth Roesch, Michael P. H. Stumpf, Michael K. Borregaard, Daniel Schwabeneder, Julian Sosnik, Thomas O. McDonald and Enrico Gratton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Trends in Pharmacological Sciences.

In The Last Decade

Christopher Rackauckas

39 papers receiving 1.2k 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.

DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia

2017 867 citations Christopher Rackauckas, Qing Nie profile →

Peers

Christopher Rackauckas

SNP

AMPO

CSE

Yury A. Kutoyants France

Mark K. Transtrum United States

Khachik Sargsyan United States

Javier Segura Spain

V. V. Uchaikin Russia

Bert Debusschere United States

Vladimir Yanovsky Ukraine

Adam Lipowski Poland

Frank Bauer Germany

Jingli Ren China

Yury A. Kutoyants France

Christopher Rackauckas

250 ×1.1

SNP

171 ×0.8

314 ×2.0

87 ×0.6

AMPO

114 ×1.0

CSE

Citations per year, relative to Christopher Rackauckas Christopher Rackauckas (= 1×) peers Yury A. Kutoyants

Countries citing papers authored by Christopher Rackauckas

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Rackauckas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Rackauckas

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

Hong, Hoon, et al.. (2025). Robust parameter estimation for rational ordinary differential equations. Applied Mathematics and Computation. 509. 129638–129638. 2 indexed citations

Schäfer, Frank, et al.. (2025). NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia. ACM Transactions on Mathematical Software. 52(1). 1–26.

Gholampour, Maysam, Yuan-Shyi Peter Chiu, Chih‐Hao Chen, et al.. (2025). Feasibility analysis of integrated liquid desiccant systems with heat pumps: key operational parameters and insights. Energy Conversion and Management. 341. 120080–120080.

Isaacson, Samuel A., et al.. (2024). Extending JumpProcesses.jl for fast point process simulation with time-varying intensities. 6(58). 133–133.

Rackauckas, Christopher, et al.. (2024). Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning. SHILAP Revista de lepidopterología. 4. 1338518–1338518. 3 indexed citations

Xu, Chonggang, Forrest M. Hoffman, Jiangtao Liu, et al.. (2023). A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations. Biogeosciences. 20(13). 2671–2692. 25 indexed citations

Núñez, Matías, et al.. (2023). Forecasting virus outbreaks with social media data via neural ordinary differential equations. Scientific Reports. 13(1). 10870–10870. 8 indexed citations

Rebello, Carine Menezes, et al.. (2023). Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. Chemical Engineering Science. 282. 119223–119223. 10 indexed citations

Churavy, Valentin, et al.. (2023). Automated translation and accelerated solving of differential equations on multiple GPU platforms. Computer Methods in Applied Mechanics and Engineering. 419. 116591–116591. 7 indexed citations

10.

Ma, Yingbo, et al.. (2023). Catalyst: Fast and flexible modeling of reaction networks. PLoS Computational Biology. 19(10). e1011530–e1011530. 16 indexed citations

11.

Dixit, Vaibhav & Christopher Rackauckas. (2022). GlobalSensitivity.jl: Performant and Parallel GlobalSensitivity Analysis with Julia. The Journal of Open Source Software. 7(76). 4561–4561. 18 indexed citations

12.

Zhang, Tongli, Peter L. Bonate, Limei Cheng, et al.. (2022). Two heads are better than one: current landscape of integrating QSP and machine learning. Journal of Pharmacokinetics and Pharmacodynamics. 49(1). 5–18. 40 indexed citations

13.

Rackauckas, Christopher, et al.. (2022). Differential methods for assessing sensitivity in biological models. PLoS Computational Biology. 18(6). e1009598–e1009598. 6 indexed citations

14.

Henderson, Shane G., et al.. (2021). Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics. Patterns. 2(3). 100220–100220. 5 indexed citations

15.

Barbastathis, George, et al.. (2021). Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA. SHILAP Revista de lepidopterología. 2021. 9798302–9798302. 3 indexed citations

16.

Roesch, Elisabeth, Christopher Rackauckas, & Michael P. H. Stumpf. (2021). Collocation based training of neural ordinary differential equations. Statistical Applications in Genetics and Molecular Biology. 20(2). 37–49. 22 indexed citations

17.

Anantharaman, Ranjan, et al.. (2020). Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.. National Conference on Artificial Intelligence. 1 indexed citations

18.

Rackauckas, Christopher. (2020). Generalized Physics-Informed Learning through Language-Wide Differentiable Programming. Figshare. 4 indexed citations

19.

Irurzun‐Arana, Itziar, Christopher Rackauckas, Thomas O. McDonald, & Iñaki F. Trocóniz. (2020). Beyond Deterministic Models in Drug Discovery and Development. Trends in Pharmacological Sciences. 41(11). 882–895. 19 indexed citations

20.

Rackauckas, Christopher, Thomas F. Schilling, & Qing Nie. (2018). Mean-Independent Noise Control of Cell Fates via Intermediate States. iScience. 3. 11–20. 13 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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