George A. Gravvanis

117 papers receiving 808 citations

Peers

George A. Gravvanis
Comparison fields: 5 of 80
  • Computational Theory and Mathematics 399
  • Atomic and Molecular Physics, and Optics 290
  • Computer Networks and Communications 192
  • Computational Mechanics 179
  • Information Systems 135
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Zlatko Drmač Croatia
A.T. Chronopoulos United States
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Komei Fukuda Switzerland
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Countries citing papers authored by George A. Gravvanis

Since Specialization
Citations

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

Fields of papers citing papers by George A. Gravvanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George A. Gravvanis. 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 George A. Gravvanis. The network helps show where George A. Gravvanis may publish in the future.

Co-authorship network of co-authors of George A. Gravvanis

This figure shows the co-authorship network connecting the top 25 collaborators of George A. Gravvanis. A scholar is included among the top collaborators of George A. Gravvanis 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 George A. Gravvanis. George A. Gravvanis 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
#WorkIndexed citations
1 6
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3 5
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Foundations of Computer Science
3
5 4
6 3
7 17
8
N-body simulation based on the Particle Mesh method using multigrid schemes
4
9 6
10 7
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On the Design of Parallel Finite Element Approximate Inverses.
2
12 3
13 4
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Parallel Finite Element Approximate Inverse Preconditioning on Symmetric Multiprocessor Systems.
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Performability Evaluation of Multitasking and Multiprocessor Systems by Explicit Approximate Inverses.
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16
A Normalized Explicit Preconditioned Conjugate Gradient Method for Solving Sparse Non-linear Systems
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17
A fast explicit preconditioned finite element scheme
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Domain Decomposition Approximate Inverse Preconditioning for Solving Fourth Order Equations.
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Generalized approximate inverse finite element matrix techniques
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20 9

About George A. Gravvanis

George A. Gravvanis is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics, having authored 121 papers that have together received 827 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (76 papers), Electromagnetic Scattering and Analysis (57 papers) and Advanced Numerical Methods in Computational Mathematics (39 papers). The work is most often cited by research in Computational Theory and Mathematics (399 citations), Numerical Analysis (123 citations) and Computational Mathematics (10 citations). George A. Gravvanis has collaborated with scholars based in Greece, Ireland and United Kingdom. Frequent co-authors include Christos K. Filelis‐Papadopoulos, Konstantinos M. Giannoutakis, Dimitrios Tzovaras, Agapios Ν. Platis, Dionysios Kehagias, Theo Lynn, James Byrne, Malika Bendechache, Patrícia Takako Endo and Sergej Svorobej. Their work appears in journals such as European Journal of Operational Research, Monthly Notices of the Royal Astronomical Society and Expert Systems with 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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