Mark Kostuk

619 total citations
14 papers, 365 citations indexed

About

Mark Kostuk is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Mark Kostuk has authored 14 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 5 papers in Statistical and Nonlinear Physics and 5 papers in Cognitive Neuroscience. Recurrent topics in Mark Kostuk's work include Magnetic confinement fusion research (6 papers), Neural dynamics and brain function (5 papers) and Fusion materials and technologies (3 papers). Mark Kostuk is often cited by papers focused on Magnetic confinement fusion research (6 papers), Neural dynamics and brain function (5 papers) and Fusion materials and technologies (3 papers). Mark Kostuk collaborates with scholars based in United States, Italy and Germany. Mark Kostuk's co-authors include Henry D. I. Abarbanel, C. Daniel Meliza, Daniel Margoliash, Hao Huang, Alain Nogaret, O. Meneghini, G. M. Staebler, E. A. Belli, P.B. Snyder and S. P. Smith and has published in prestigious journals such as Journal of Computational Physics, Physics Letters A and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Mark Kostuk

14 papers receiving 352 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 Kostuk United States 9 122 112 102 68 57 14 365
Shuo Yuan China 15 466 3.8× 34 0.3× 62 0.6× 31 0.5× 33 0.6× 62 1.3k
Diego Luis Gonzalez Spain 18 33 0.3× 143 1.3× 276 2.7× 32 0.5× 7 0.1× 54 795
Devendra Sharma India 11 140 1.1× 24 0.2× 48 0.5× 40 0.6× 75 1.3× 65 606
F. Pisano Italy 11 241 2.0× 32 0.3× 26 0.3× 43 0.6× 110 1.9× 46 388
J. B. Chabi Orou Benin 16 100 0.8× 26 0.2× 525 5.1× 25 0.4× 10 0.2× 63 848
Alejandro Jenkins United States 11 210 1.7× 11 0.1× 158 1.5× 18 0.3× 10 0.2× 19 563
R. A. James United Kingdom 9 33 0.3× 29 0.3× 61 0.6× 25 0.4× 16 0.3× 17 698
Paul Ivanov United States 4 17 0.1× 18 0.2× 18 0.2× 91 1.3× 16 0.3× 7 415
A. Himmel United States 3 205 1.7× 10 0.1× 17 0.2× 86 1.3× 26 0.5× 4 356
A. Aurisano United States 6 245 2.0× 10 0.1× 17 0.2× 92 1.4× 27 0.5× 13 407

Countries citing papers authored by Mark Kostuk

Since Specialization
Citations

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

Fields of papers citing papers by Mark Kostuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Kostuk

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

All Works

14 of 14 papers shown
1.
Turco, F., T.W. Petrie, T.H. Osborne, et al.. (2023). The physics basis to integrate an MHD stable, high-power hybrid scenario to a cool divertor for steady-state reactor operation. Nuclear Fusion. 63(3). 36020–36020. 4 indexed citations
2.
Halpern, Federico David, et al.. (2021). Simulations of plasmas and fluids using anti-symmetric models. Journal of Computational Physics. 445. 110631–110631. 3 indexed citations
3.
Bringuier, Stefan, et al.. (2021). A method of determining molecular excited-states using quantum computation. MRS Advances. 6(22). 558–563. 2 indexed citations
4.
Sammuli, B., J.L. Barr, N.W. Eidietis, et al.. (2018). TokSearch: A search engine for fusion experimental data. Fusion Engineering and Design. 129. 12–15. 9 indexed citations
5.
Kostuk, Mark, et al.. (2018). Automatic Between-Pulse Analysis of DIII-D Experimental Data Performed Remotely on a Supercomputer at Argonne Leadership Computing Facility. Fusion Science & Technology. 74(1-2). 135–143. 4 indexed citations
6.
Yuan, Qiping, Junrong Tang, B.G. Penaflor, et al.. (2018). Upgrade of EAST plasma control system for steady-state advanced operation. Fusion Engineering and Design. 129. 109–114. 14 indexed citations
7.
Meneghini, O., S. P. Smith, P.B. Snyder, et al.. (2017). Self-consistent core-pedestal transport simulations with neural network accelerated models. Nuclear Fusion. 57(8). 86034–86034. 93 indexed citations
8.
Meliza, C. Daniel, Mark Kostuk, Hao Huang, et al.. (2014). Estimating parameters and predicting membrane voltages with conductance-based neuron models. Biological Cybernetics. 108(4). 495–516. 52 indexed citations
9.
Rey, Daniel, et al.. (2014). Accurate state and parameter estimation in nonlinear systems with sparse observations. Physics Letters A. 378(11-12). 869–873. 16 indexed citations
10.
Kostuk, Mark, et al.. (2012). Dynamical estimation of neuron and network properties II: path integral Monte Carlo methods. Biological Cybernetics. 106(3). 155–167. 32 indexed citations
11.
Kostuk, Mark. (2012). Synchronization and Statistical Methods for the Data Assimilation of HVc Neuron Models. eScholarship (California Digital Library). 7 indexed citations
12.
Kostuk, Mark, et al.. (2011). Dynamical estimation of neuron and network properties I: variational methods. Biological Cybernetics. 105(3-4). 217–237. 39 indexed citations
13.
Abarbanel, Henry D. I., et al.. (2010). Data assimilation with regularized nonlinear instabilities. Quarterly Journal of the Royal Meteorological Society. 136(648). 769–783. 30 indexed citations
14.
Abarbanel, Henry D. I., et al.. (2009). Dynamical State and Parameter Estimation. SIAM Journal on Applied Dynamical Systems. 8(4). 1341–1381. 60 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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