Kirk E. Jordan

1.5k total citations
49 papers, 765 citations indexed

About

Kirk E. Jordan is a scholar working on Computer Networks and Communications, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Kirk E. Jordan has authored 49 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 11 papers in Computational Mechanics and 11 papers in Computational Theory and Mathematics. Recurrent topics in Kirk E. Jordan's work include Distributed and Parallel Computing Systems (10 papers), Parallel Computing and Optimization Techniques (9 papers) and Advanced Data Storage Technologies (8 papers). Kirk E. Jordan is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Parallel Computing and Optimization Techniques (9 papers) and Advanced Data Storage Technologies (8 papers). Kirk E. Jordan collaborates with scholars based in United States, United Kingdom and Ireland. Kirk E. Jordan's co-authors include Ping Sheng, Gerard R. Richter, Eli Turkel, A. Bayliss, Brenton LeMesurier, William Gropp, Ulrike Meier Yang, Martin Schulz, Edward O. Pyzer‐Knapp and Vipin Sachdeva and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and Journal of Computational Physics.

In The Last Decade

Kirk E. Jordan

43 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kirk E. Jordan United States 14 173 141 135 110 102 49 765
David M. Beazley United States 14 88 0.5× 200 1.4× 69 0.5× 77 0.7× 54 0.5× 36 1.1k
Olivier Coulaud France 15 162 0.9× 57 0.4× 75 0.6× 80 0.7× 36 0.4× 35 599
Lorena A. Barba United States 17 229 1.3× 56 0.4× 163 1.2× 19 0.2× 31 0.3× 64 875
James Willenbring United States 5 76 0.4× 172 1.2× 119 0.9× 33 0.3× 195 1.9× 14 782
Rio Yokota Japan 16 288 1.7× 106 0.8× 208 1.5× 13 0.1× 66 0.6× 65 816
Bruno Lang Germany 17 261 1.5× 156 1.1× 141 1.0× 29 0.3× 450 4.4× 95 1.2k
Théo Mary France 13 110 0.6× 35 0.2× 106 0.8× 78 0.7× 280 2.7× 27 599
Costas Bekas Switzerland 13 110 0.6× 105 0.7× 403 3.0× 27 0.2× 579 5.7× 44 1.5k
Rahul S. Sampath United States 10 129 0.7× 76 0.5× 112 0.8× 12 0.1× 51 0.5× 17 494
Stefano Zampini Saudi Arabia 18 105 0.6× 42 0.3× 189 1.4× 36 0.3× 253 2.5× 33 883

Countries citing papers authored by Kirk E. Jordan

Since Specialization
Citations

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

Fields of papers citing papers by Kirk E. Jordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirk E. Jordan. 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 Kirk E. Jordan. The network helps show where Kirk E. Jordan may publish in the future.

Co-authorship network of co-authors of Kirk E. Jordan

This figure shows the co-authorship network connecting the top 25 collaborators of Kirk E. Jordan. A scholar is included among the top collaborators of Kirk E. Jordan 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 Kirk E. Jordan. Kirk E. Jordan 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.
Graff, David, et al.. (2024). A physics-inspired approach to the understanding of molecular representations and models. Molecular Systems Design & Engineering. 9(5). 449–455. 3 indexed citations
2.
Fare, Clyde, et al.. (2024). History Matching Reservoir Models With Many Objective Bayesian Optimization. SHILAP Revista de lepidopterología. 5(4).
3.
Graff, David, Edward O. Pyzer‐Knapp, Kirk E. Jordan, Eugene I. Shakhnovich, & Connor W. Coley. (2023). Evaluating the roughness of structure–property relationships using pretrained molecular representations. Digital Discovery. 2(5). 1452–1460. 5 indexed citations
4.
Aldeghi, Matteo, David Graff, Nathan C. Frey, et al.. (2022). Roughness of Molecular Property Landscapes and Its Impact on Modellability. Journal of Chemical Information and Modeling. 62(19). 4660–4671. 28 indexed citations
5.
Martelli, Fausto, et al.. (2021). Simulation of large molecular systems with electronically-derived forces. Computer Physics Communications. 264. 107959–107959. 3 indexed citations
6.
Antão, Samuel, et al.. (2018). Uncertainty quantification-as-a-service. 331–337. 1 indexed citations
8.
Kim, Chang Sik, Martyn Winn, Vipin Sachdeva, & Kirk E. Jordan. (2017). K-mer clustering algorithm using a MapReduce framework: application to the parallelization of the Inchworm module of Trinity. BMC Bioinformatics. 18(1). 467–467. 17 indexed citations
9.
Peters, Thomas, et al.. (2016). Computational topology: Isotopic convergence to a stick knot. Topology and its Applications. 206. 276–283.
10.
Johnston, Michael A., William C. Swope, Kirk E. Jordan, et al.. (2016). Toward a Standard Protocol for Micelle Simulation. The Journal of Physical Chemistry B. 120(26). 6337–6351. 54 indexed citations
11.
Peters, Thomas, et al.. (2015). Topological subtleties for molecular movies. Topology and its Applications. 188. 91–96. 1 indexed citations
12.
AbdelBaky, Moustafa, Javier Diaz‐Montes, Michael A. Johnston, et al.. (2014). Exploring HPC-based Scientific Software as a Service using CometCloud. 5 indexed citations
13.
Bao, Kai, et al.. (2013). High-Performance Modeling of CO2 Sequestration by Coupling Reservoir Simulation and Molecular Dynamics. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 3 indexed citations
14.
Peters, Thomas, et al.. (2012). Dynamic Computational Topology for Piecewise Linear Curves.. Canadian Conference on Computational Geometry. 265–270.
15.
Jordan, Kirk E., Dinesh Kaushik, Michael Perrone, et al.. (2012). Coupling a Basin Modeling and a Seismic Code using MOAB. Procedia Computer Science. 9. 986–993. 3 indexed citations
16.
Jordan, Kirk E., et al.. (2008). Modeling time and topology for animation and visualization with examples on parametric geometry. Theoretical Computer Science. 405(1-2). 41–49. 10 indexed citations
17.
Gropp, William, et al.. (2007). Scaling science applications on blue gene. JuSER (Forschungszentrum Jülich). 583–584. 1 indexed citations
18.
Jordan, Kirk E., Gerard R. Richter, & Ping Sheng. (1986). An efficient numerical evaluation of the Green's function for the Helmholtz operator on periodic structures. Journal of Computational Physics. 63(1). 222–235. 154 indexed citations
19.
Jordan, Kirk E., George Papanicolaou, & Renato Spigler. (1986). On the numerical solution of a nonlinear stochastic Helmholtz equation with a multigrid preconditioner. Applied Mathematics and Computation. 19(1-4). 145–157. 3 indexed citations
20.
Hsiao, George C. & Kirk E. Jordan. (1983). A Numerical Treatment for Parabolic Equations with a Small Parameter. SIAM Journal on Mathematical Analysis. 14(3). 507–521. 4 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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