Merrell L. Patrick

570 citations
29 papers · 443 · h-index 10

Impact in

Papers in

Merrell L. Patrick

25 papers receiving 357 citations

Peers

Merrell L. Patrick
Comparison fields: 5 of 50
  • Numerical Analysis 260
  • Computational Theory and Mathematics 210
  • Algebra and Number Theory 45
  • Modeling and Simulation 35
  • Applied Mathematics 69
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Citations per year

Countries citing papers authored by Merrell L. Patrick

Since Specialization
Citations

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

Fields of papers citing papers by Merrell L. Patrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Merrell L. Patrick. 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 Merrell L. Patrick. The network helps show where Merrell L. Patrick may publish in the future.

Co-authors

The 13 scholars most cited alongside Merrell L. Patrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Merrell L. Patrick Line = papers co-authored together Merrell L. Patrick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976191
2 197365
3 197730
4 197118
5
A model of asynchronous iterative algorithms for solving large, sparse, linear systems
198416
6 199314
7 196212
8 199410
9
Lanz: Software Solving the Large Sparse Symmetric Generalized Eigenproblem
19909
10 19629
11 19859
12 19898
13 19767
14 19897
15 19726
16 19936
17 19755
18 19855
19 19884
20 19863

About Merrell L. Patrick

Merrell L. Patrick is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering, having authored 29 papers that have together received 443 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (13 papers), Advanced Optimization Algorithms Research (9 papers), Interconnection Networks and Systems (6 papers), Iterative Methods for Nonlinear Equations (5 papers), Parallel Computing and Optimization Techniques (5 papers), Structural Health Monitoring Techniques (3 papers), Probabilistic and Robust Engineering Design (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Numerical Analysis (260 citations), Computational Theory and Mathematics (210 citations), Algebra and Number Theory (45 citations), Modeling and Simulation (35 citations) and Applied Mathematics (69 citations). Merrell L. Patrick has collaborated with scholars based in United States and India. Frequent co-authors include Eldon Hansen, Mark T. Jones, Daniel A. Reed, Eskil Hansen, Vijay K. Naik, Donald G. Saari, Olaf O. Storaasli, Terrence W. Pratt, Robert A. Wagner and Van E. Wood. Their work appears in journals such as Parallel Computing, Mathematics of Computation, Numerische Mathematik, BIT Numerical Mathematics and SIAM Journal on Matrix Analysis and Applications.

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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