J. E. Morais
Impact in
- Algebra and Number Theory top 10%
- Commutative Algebra and Its Applications
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- Polynomial and algebraic computation
- Numerical Methods and Algorithms
- Formal Methods in Verification
- Complexity and Algorithms in Graphs
Papers in
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- Polynomial and algebraic computation 5
- Complexity and Algorithms in Graphs 3
- Numerical Methods and Algorithms 2
- Advanced Algebra and Logic 1
- Advanced Graph Theory Research 1
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- Commutative Algebra and Its Applications 4
- Co-authors
- Luis Miguel Pardo (7 shared papers)Joos Heintz (4 shared papers)M Giusti (4 shared papers)K. Hägele (3 shared papers)José Luis Montaña (2 shared papers)Martı́n Sombra (1 shared paper)David J. Castro (1 shared paper)
- Journals
- Journal of Pure and Applied Algebra (3 papers)Journal of Complexity (1 paper)Lecture notes in computer science (1 paper)Applicable Algebra in Engineering Communication and Computing (1 paper)Comptes Rendus de l Académie des Sciences - Series I - Mathematics (1 paper)
In The Last Decade
J. E. Morais
7 papers receiving 319 citations
Peers
Comparison fields: 5 of 31
- Algebra and Number Theory 168
- Computational Theory and Mathematics 314
- Geometry and Topology 99
- Computational Mathematics 5
- Computer Graphics and Computer-Aided Design 25
Countries citing papers authored by J. E. Morais
This map shows the geographic impact of J. E. Morais'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 J. E. Morais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. E. Morais more than expected).
Fields of papers citing papers by J. E. Morais
This network shows the impact of papers produced by J. E. Morais. 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 J. E. Morais. The network helps show where J. E. Morais may publish in the future.
Co-authors
The 7 scholars most cited alongside J. E. Morais, 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 | 1998 | 111 | |
| 2 | 1997 | 82 | |
| 3 | 1995 | 71 | |
| 4 | 1997 | 25 | |
| 5 | 2000 | 22 | |
| 6 | 2001 | 21 | |
| 7 | 1996 | 14 |
About J. E. Morais
J. E. Morais is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory, Information Systems, Geometry and Topology and Computational Mechanics, having authored 7 papers that have together received 346 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (5 papers), Commutative Algebra and Its Applications (4 papers), Complexity and Algorithms in Graphs (3 papers), Numerical Methods and Algorithms (2 papers), Cryptography and Residue Arithmetic (1 paper), Advanced Algebra and Logic (1 paper), Graph theory and applications (1 paper) and Advanced Graph Theory Research (1 paper). The work is most often cited by research in Algebra and Number Theory (168 citations), Computational Theory and Mathematics (314 citations), Geometry and Topology (99 citations), Computational Mathematics (5 citations) and Computer Graphics and Computer-Aided Design (25 citations). J. E. Morais has collaborated with scholars based in Spain, France and Argentina. Frequent co-authors include Luis Miguel Pardo, Joos Heintz, M Giusti, K. Hägele, José Luis Montaña, Martı́n Sombra and David J. Castro. Their work appears in journals such as Journal of Pure and Applied Algebra, Journal of Complexity, Lecture notes in computer science, Applicable Algebra in Engineering Communication and Computing and Comptes Rendus de l Académie des Sciences - Series I - Mathematics.
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.