Mark K. Transtrum

2.6k total citations
93 papers, 1.4k citations indexed

About

Mark K. Transtrum is a scholar working on Statistical and Nonlinear Physics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mark K. Transtrum has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistical and Nonlinear Physics, 21 papers in Biomedical Engineering and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Mark K. Transtrum's work include Power System Optimization and Stability (18 papers), Noise Effects and Management (15 papers) and Model Reduction and Neural Networks (14 papers). Mark K. Transtrum is often cited by papers focused on Power System Optimization and Stability (18 papers), Noise Effects and Management (15 papers) and Model Reduction and Neural Networks (14 papers). Mark K. Transtrum collaborates with scholars based in United States, Serbia and Australia. Mark K. Transtrum's co-authors include James P. Sethna, Benjamin B. Machta, Ricky Chachra, A.M. Stanković, Andrija T. Sarić, Peng Qiu, Christopher R. Myers, Kevin Brown, Bryan C. Daniels and Lee D. Hansen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Mark K. Transtrum

84 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark K. Transtrum United States 18 384 209 172 168 144 93 1.4k
Maher Moakher Tunisia 21 738 1.9× 97 0.5× 88 0.5× 242 1.4× 38 0.3× 48 2.7k
Christopher Rackauckas United States 13 220 0.6× 235 1.1× 82 0.5× 81 0.5× 36 0.3× 44 1.3k
Xiaofan Li United States 20 159 0.4× 257 1.2× 135 0.8× 191 1.1× 69 0.5× 86 1.3k
Grigorios A. Pavliotis United Kingdom 25 237 0.6× 871 4.2× 91 0.5× 155 0.9× 221 1.5× 99 2.4k
M. Reza Rahimi Tabar Iran 28 265 0.7× 729 3.5× 313 1.8× 266 1.6× 380 2.6× 114 2.8k
Johan Hake Norway 13 290 0.8× 170 0.8× 139 0.8× 237 1.4× 36 0.3× 24 1.7k
Giovanni Samaey Belgium 21 71 0.2× 209 1.0× 176 1.0× 129 0.8× 60 0.4× 110 1.6k
Hong Zhang China 29 144 0.4× 819 3.9× 268 1.6× 214 1.3× 153 1.1× 150 2.9k
Fatemeh Ghasemi Iran 22 206 0.5× 298 1.4× 274 1.6× 318 1.9× 132 0.9× 94 1.8k
Benjamin B. Machta United States 19 802 2.1× 287 1.4× 65 0.4× 313 1.9× 112 0.8× 38 1.8k

Countries citing papers authored by Mark K. Transtrum

Since Specialization
Citations

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

Fields of papers citing papers by Mark K. Transtrum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark K. Transtrum. 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 Mark K. Transtrum. The network helps show where Mark K. Transtrum may publish in the future.

Co-authorship network of co-authors of Mark K. Transtrum

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

All Works

20 of 20 papers shown
1.
Transtrum, Mark K., et al.. (2024). Quantitative and Kinetic Proteomics Reveal ApoE Isoform-dependent Proteostasis Adaptations in Mouse Brain. PLoS Computational Biology. 20(12). e1012407–e1012407. 1 indexed citations
2.
Neilsen, Tracianne B., et al.. (2024). Information geometry analysis example for absolute and relative transmission loss in a shallow ocean. SHILAP Revista de lepidopterología. 4(7). 2 indexed citations
3.
Transtrum, Mark K., et al.. (2024). The training process of many deep networks explores the same low-dimensional manifold. Proceedings of the National Academy of Sciences. 121(12). e2310002121–e2310002121. 2 indexed citations
4.
Gee, Kent L., et al.. (2024). Toward a dynamic national transportation noise map: Modeling temporal variability of spectral traffic noise emission levels. The Journal of the Acoustical Society of America. 156(3). 1693–1706. 1 indexed citations
5.
6.
Jensen, Ryan R., et al.. (2023). K-Means Clustering of 51 Geospatial Layers Identified for Use in Continental-Scale Modeling of Outdoor Acoustic Environments. Applied Sciences. 13(14). 8123–8123. 7 indexed citations
7.
Gee, Kent L., et al.. (2023). An app for nationwide dynamic traffic noise prediction. NOISE-CON proceedings. 266(1). 1200–1206. 1 indexed citations
8.
Baraissov, Zhaslan, T. A. Arias, Richard G. Hennig, et al.. (2023). Enhanced Surface Superconductivity of Niobium by Zirconium Doping. Physical Review Applied. 20(1). 4 indexed citations
9.
Transtrum, Mark K., et al.. (2022). Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials. The Journal of Chemical Physics. 156(21). 214103–214103. 9 indexed citations
10.
Transtrum, Mark K., et al.. (2022). Information geometry for multiparameter models: new perspectives on the origin of simplicity. Reports on Progress in Physics. 86(3). 35901–35901. 16 indexed citations
11.
Transtrum, Mark K., Jaeyel Lee, David N. Seidman, et al.. (2021). Analysis of magnetic vortex dissipation in Sn-segregated boundaries in Nb3Sn superconducting RF cavities. Physical review. B.. 103(2). 22 indexed citations
12.
Liepe, Matthias, et al.. (2021). Effect of the density of states at the Fermi level on defect free energies and superconductivity: A case study of Nb3Sn. Physical review. B.. 103(11). 13 indexed citations
13.
Transtrum, Mark K., et al.. (2021). State Estimation Model Reduction Through the Manifold Boundary Approximation Method. IEEE Transactions on Power Systems. 37(1). 272–281. 1 indexed citations
14.
Transtrum, Mark K., et al.. (2020). Symbolic Regression for Data-Driven Dynamic Model Refinement in Power Systems. IEEE Transactions on Power Systems. 36(3). 2390–2402. 14 indexed citations
15.
Mattingly, Henry H., et al.. (2018). Rational Ignorance: Simpler Models Learn More Information from Finite Data. Bulletin of the American Physical Society. 2018. 1 indexed citations
16.
Stanković, A.M., et al.. (2017). Hybrid power system state estimation with irregular sampling. 1–5. 8 indexed citations
17.
Thames, Howard D., et al.. (2016). The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems. PLoS Computational Biology. 12(12). e1005227–e1005227. 70 indexed citations
18.
Transtrum, Mark K. & Peng Qiu. (2016). Bridging Mechanistic and Phenomenological Models of Complex Biological Systems. PLoS Computational Biology. 12(5). e1004915–e1004915. 46 indexed citations
19.
Transtrum, Mark K., Lee D. Hansen, & Colette F. Quinn. (2014). Enzyme kinetics determined by single-injection isothermal titration calorimetry. Methods. 76. 194–200. 35 indexed citations
20.
Chachra, Ricky, Mark K. Transtrum, & James P. Sethna. (2012). Structural susceptibility and separation of time scales in the van der Pol oscillator. Physical Review E. 86(2). 26712–26712. 9 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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