Todd Munson

5.9k total citations
80 papers, 2.0k citations indexed

About

Todd Munson is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Todd Munson has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 24 papers in Computational Theory and Mathematics and 18 papers in Numerical Analysis. Recurrent topics in Todd Munson's work include Advanced Optimization Algorithms Research (18 papers), Advanced Data Storage Technologies (15 papers) and Distributed and Parallel Computing Systems (15 papers). Todd Munson is often cited by papers focused on Advanced Optimization Algorithms Research (18 papers), Advanced Data Storage Technologies (15 papers) and Distributed and Parallel Computing Systems (15 papers). Todd Munson collaborates with scholars based in United States, Japan and Germany. Todd Munson's co-authors include Michael C. Ferris, Sven Leyffer, Ian Foster, Joshua Elliott, Christian Kanzow, David A. Weisbach, Jeffrey Larson, Steven J. Benson, Samuel Kortum and Wenbin Du and has published in prestigious journals such as American Economic Review, Analytical Chemistry and Optics Express.

In The Last Decade

Todd Munson

76 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd Munson United States 24 428 365 351 305 259 80 2.0k
Ramachandran Kannan United States 34 366 0.9× 871 2.4× 941 2.7× 148 0.5× 174 0.7× 79 4.5k
Sameh Askar Saudi Arabia 25 709 1.7× 97 0.3× 205 0.6× 118 0.4× 112 0.4× 250 2.7k
Uday V. Shanbhag United States 24 404 0.9× 610 1.7× 405 1.2× 284 0.9× 196 0.8× 112 2.1k
Jean-Philippe Vial Switzerland 21 295 0.7× 915 2.5× 172 0.5× 448 1.5× 848 3.3× 60 2.2k
Frank Plastria Belgium 24 171 0.4× 566 1.6× 283 0.8× 466 1.5× 378 1.5× 123 3.4k
Romesh Saigal United States 23 141 0.3× 989 2.7× 305 0.9× 387 1.3× 896 3.5× 70 2.2k
J.B. Cruz United States 34 586 1.4× 438 1.2× 391 1.1× 1.3k 4.2× 233 0.9× 193 4.3k
Массимилиано Феррара Italy 25 207 0.5× 492 1.3× 64 0.2× 248 0.8× 221 0.9× 191 2.4k
Lars Grüne Germany 34 357 0.8× 583 1.6× 636 1.8× 3.9k 12.8× 385 1.5× 215 5.2k
Emilio Carrizosa Spain 27 76 0.2× 321 0.9× 126 0.4× 282 0.9× 181 0.7× 167 2.2k

Countries citing papers authored by Todd Munson

Since Specialization
Citations

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

Fields of papers citing papers by Todd Munson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Munson

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Munson. A scholar is included among the top collaborators of Todd Munson 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 Todd Munson. Todd Munson 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.
Mills, Richard, Mark F. Adams, Satish Balay, et al.. (2025). PETSc/TAO developments for GPU-based early exascale systems. The International Journal of High Performance Computing Applications. 39(2). 306–325. 1 indexed citations
2.
Adams, Mark F., Satish Balay, Oana Marin, et al.. (2022). The PETSc Community as Infrastructure. Computing in Science & Engineering. 24(3). 6–15. 1 indexed citations
3.
Leyffer, Sven, et al.. (2022). Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments. SIAM Journal on Scientific Computing. 44(2). B395–B427. 11 indexed citations
4.
Brown, Jed, Satish Balay, Matthew G. Knepley, et al.. (2021). The PetscSF Scalable Communication Layer. IEEE Transactions on Parallel and Distributed Systems. 33(4). 842–853. 31 indexed citations
5.
Wan, Lipeng, Axel Huebl, Junmin Gu, et al.. (2021). Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Transactions on Parallel and Distributed Systems. 33(4). 878–890. 17 indexed citations
6.
Miller, M.A., R.M. Churchill, Alp Dener, et al.. (2021). Encoder–decoder neural network for solving the nonlinear Fokker–Planck–Landau collision operator in XGC. Journal of Plasma Physics. 87(2). 1 indexed citations
7.
Guo, Hanqi, Jiayi Xu, Xin Liang, et al.. (2020). FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.. arXiv (Cornell University). 1 indexed citations
8.
Malakar, Preeti, Venkatram Vishwanath, Chris Knight, Todd Munson, & Michael E. Papka. (2016). Optimal execution of co-analysis for large-scale molecular dynamics simulations. IEEE International Conference on High Performance Computing, Data, and Analytics. 60. 7 indexed citations
9.
Larson, Jeffrey, Todd Munson, & Vadim Sokolov. (2016). Coordinated Platoon Routing in a Metropolitan Network. Society for Industrial and Applied Mathematics eBooks. 73–82. 13 indexed citations
10.
Elliott, Joshua, et al.. (2013). Unilateral Carbon Taxes, Border Tax Adjustments and Carbon Leakage. Theoretical Inquiries in Law. 14(1). 207–244. 9 indexed citations
11.
Elliott, Joshua, et al.. (2011). Propagation of Data Error and Parametric Sensitivity in Computable General Equilibrium Models. SSRN Electronic Journal. 2 indexed citations
12.
Elliott, Joshua, Ian Foster, Kenneth L. Judd, E. J. Moyer, & Todd Munson. (2010). CIM-EARTH: Framework and Case Study. The B E Journal of Economic Analysis & Policy. 10(2). 7 indexed citations
13.
Fang, Haw‐ren, Sven Leyffer, & Todd Munson. (2010). A pivoting algorithm for linear programming with linear complementarity constraints. Optimization methods & software. 27(1). 89–114. 12 indexed citations
14.
Leyffer, Sven & Todd Munson. (2009). Solving multi-leader–common-follower games. Optimization methods & software. 25(4). 601–623. 132 indexed citations
15.
Li, Qian, Michael C. Ferris, & Todd Munson. (2009). Linear Algebra Enhancements to the PATH Solver. 1 indexed citations
16.
Munson, Todd & Peg Howland. (2006). The feasNewt benchmark. 150–154. 4 indexed citations
17.
Chen, Yihsu, Benjamin F. Hobbs, Sven Leyffer, & Todd Munson. (2006). Leader-Follower Equilibria for Electric Power and NO x Allowances Markets. Computational Management Science. 3(4). 307–330. 69 indexed citations
18.
Diachin, Lori Freitag, Patrick Knupp, Todd Munson, & Suzanne M. Shontz. (2004). A Comparison of Inexact Newton and Coordinate Descent Mesh Optimization Techniques.. IMR. 243–254. 11 indexed citations
19.
Ferris, Michael C. & Todd Munson. (2002). Interior-Point Methods for Massive Support Vector Machines. SIAM Journal on Optimization. 13(3). 783–804. 136 indexed citations
20.
Ferris, Michael C., Todd Munson, & Krung Sinapiromsaran. (2000). A practical approach to sample-path simulation optimization. Winter Simulation Conference. 1. 795–804. 8 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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