Andy R. Terrel

1.7k total citations
13 papers, 25 citations indexed

About

Andy R. Terrel is a scholar working on Computer Networks and Communications, Information Systems and Management and Hardware and Architecture. According to data from OpenAlex, Andy R. Terrel has authored 13 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Information Systems and Management and 4 papers in Hardware and Architecture. Recurrent topics in Andy R. Terrel's work include Scientific Computing and Data Management (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Distributed and Parallel Computing Systems (4 papers). Andy R. Terrel is often cited by papers focused on Scientific Computing and Data Management (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Distributed and Parallel Computing Systems (4 papers). Andy R. Terrel collaborates with scholars based in United States, Bulgaria and Canada. Andy R. Terrel's co-authors include Matthew Rocklin, Wade Shen, Jiahao Chen, Matthew G. Knepley, Bryan Marker, Kyle T. Mandli, Robert A. Geijn, Jack Poulson, Don Batory and L. Ridgway Scott and has published in prestigious journals such as BIT Numerical Mathematics, Computing in Science & Engineering and Proceedings of the Python in Science Conferences.

In The Last Decade

Andy R. Terrel

12 papers receiving 25 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andy R. Terrel United States 4 6 6 6 4 4 13 25
Aaron Meurer United States 2 6 1.0× 2 0.3× 12 2.0× 4 1.0× 5 1.3× 2 34
Chunhong Yoon New Zealand 3 12 2.0× 10 1.7× 3 0.5× 4 1.0× 6 36
P. U. E. Onyisi United States 3 5 0.8× 3 0.5× 4 0.7× 1 0.3× 3 0.8× 8 19
J. Perry United Kingdom 2 9 1.5× 4 0.7× 2 0.3× 3 0.8× 2 14
G. Watts United States 3 14 2.3× 4 0.7× 5 0.8× 3 0.8× 13 20
A. Bazan France 3 10 1.7× 3 0.5× 5 0.8× 9 22
Z. Liu China 2 3 0.5× 4 0.7× 11 1.8× 3 25
Viacheslav Filimonov Russia 3 16 2.7× 4 0.7× 2 0.3× 4 1.0× 5 32
A. Gianoli Italy 4 11 1.8× 5 0.8× 2 0.3× 6 1.5× 17 38
Gabriela Poch Germany 3 3 0.5× 11 1.8× 5 1.3× 3 0.8× 6 27

Countries citing papers authored by Andy R. Terrel

Since Specialization
Citations

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

Fields of papers citing papers by Andy R. Terrel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy R. Terrel. 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 Andy R. Terrel. The network helps show where Andy R. Terrel may publish in the future.

Co-authorship network of co-authors of Andy R. Terrel

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

All Works

13 of 13 papers shown
1.
Lathrop, Scott, et al.. (2019). Introduction to Accelerating Scientific Discovery With Reusable Software. Computing in Science & Engineering. 21(2). 5–7. 2 indexed citations
2.
Schreiber, Andreas, et al.. (2016). Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing. 1 indexed citations
3.
Terrel, Andy R., et al.. (2015). Scientific Software Communities. Computing in Science & Engineering. 17(1). 8–10. 1 indexed citations
4.
Terrel, Andy R., et al.. (2014). Preface. Proceedings of the Python in Science Conferences. 1–1. 1 indexed citations
5.
Rocklin, Matthew, et al.. (2014). Blaze: Building A Foundation for Array-Oriented Computing in Python. Proceedings of the Python in Science Conferences. 94–97.
6.
Chen, Jiahao, Alan Edelman, Wade Shen, & Andy R. Terrel. (2014). Proceedings of the 1st First Workshop for High Performance Technical Computing in Dynamic Languages. 4 indexed citations
7.
Terrel, Andy R. & Kyle T. Mandli. (2012). ManyClaw: Implementation and Comparison of Intra-Node Parallelism of Clawpack. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
8.
Rocklin, Matthew & Andy R. Terrel. (2012). Symbolic Statistics with SymPy. Computing in Science & Engineering. 14(3). 88–93. 4 indexed citations
9.
Marker, Bryan, Andy R. Terrel, Jack Poulson, Don Batory, & Robert A. Geijn. (2012). Mechanizing the expert dense linear algebra developer. 289–290. 3 indexed citations
10.
Terrel, Andy R.. (2011). From Equations to Code: Automated Scientific Computing. Computing in Science & Engineering. 13(2). 78–82. 5 indexed citations
11.
Scott, L. Ridgway, Matthew G. Knepley, & Andy R. Terrel. (2010). Finite element method automation for non-newtonian fluid models. 115–115. 1 indexed citations
12.
Knepley, Matthew G. & Andy R. Terrel. (2008). Finite Element Assembly on Arbitrary Meshes. 1 indexed citations
13.
Terrel, Andy R., L. Ridgway Scott, Matthew G. Knepley, & Robert C. Kirby. (2008). Automated FEM discretizations for the Stokes equation. BIT Numerical Mathematics. 48(2). 389–404. 1 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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