Terrel Andy
Impact in
Papers in
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- Scientific Computing and Data Management 6
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- Anders Logg (1 shared paper)Robert C. Kirby (3 shared papers)Marie Elisabeth Rognes (1 shared paper)Matthew Rocklin (2 shared papers)Kyle T. Mandli (1 shared paper)Carsten Burstedde (1 shared paper)Donna A. Calhoun (1 shared paper)Larkin Ridgway Scott (3 shared papers)
- Journals
- Computing in Science & Engineering (4 papers)Lecture notes in computational science and engineering (2 papers)BIT Numerical Mathematics (1 paper)PeerJ Computer Science (1 paper)Advances in parallel computing (1 paper)
- Partner nations
- United StatesGermanyBulgaria
In The Last Decade
Terrel Andy
15 papers receiving 1.1k citations
Terrel Andy's Hit Papers
Peers
Comparison fields: 5 of 135
- Computational Theory and Mathematics 141
- Computational Mathematics 5
- Artificial Intelligence 259
- Astronomy and Astrophysics 120
- Statistical and Nonlinear Physics 89
Countries citing papers authored by Terrel Andy
This map shows the geographic impact of Terrel Andy'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 Terrel Andy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terrel Andy more than expected).
Fields of papers citing papers by Terrel Andy
This network shows the impact of papers produced by Terrel Andy. 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 Terrel Andy. The network helps show where Terrel Andy may publish in the future.
Co-authors
The 22 scholars most cited alongside Terrel Andy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | SymPy: symbolic computing in Python Hit paper breakdown → | 2017 | 1071 |
| 2 | 2012 | 14 | |
| 3 | 2014 | 6 | |
| 4 | 2012 | 6 | |
| 5 | 2011 | 5 | |
| 6 | 2012 | 3 | |
| 7 | 2013 | 1 | |
| 8 | Finite element method automation for non-newtonian fluid models | 2010 | 1 |
| 9 | Finite Element Assembly on Arbitrary Meshes | 2008 | 1 |
| 10 | 2014 | 1 | |
| 11 | 2008 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 1 | |
| 15 | Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing | 2016 | 1 |
| 16 | 2012 | 0 |
About Terrel Andy
Terrel Andy is a scholar working on Information Systems and Management, Hardware and Architecture, Computational Mechanics, Computer Networks and Communications and Computational Theory and Mathematics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (3 papers), Electromagnetic Simulation and Numerical Methods (3 papers), Computational Physics and Python Applications (3 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Computational Theory and Mathematics (141 citations), Computational Mathematics (5 citations), Artificial Intelligence (259 citations), Astronomy and Astrophysics (120 citations) and Statistical and Nonlinear Physics (89 citations). Terrel Andy has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Anders Logg, Robert C. Kirby, Marie Elisabeth Rognes, Matthew Rocklin, Kyle T. Mandli, Carsten Burstedde, Donna A. Calhoun, Larkin Ridgway Scott, Robert A. Geijn and Bryan Marker. Their work appears in journals such as Computing in Science & Engineering, Lecture notes in computational science and engineering, BIT Numerical Mathematics, PeerJ Computer Science and Advances in parallel computing.
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.