Mark Seager

12 papers receiving 356 citations

Peers

Mark Seager
Comparison fields: 5 of 59
  • Structural Biology 9
  • Mechanics of Materials 144
  • Computational Mechanics 109
  • Computational Theory and Mathematics 78
  • Numerical Analysis 23
Replace Christoph Pflaum with:
Christoph Pflaum Germany
Pavel Kůs Czechia
Jun Shen China
Jing Gong Sweden
I.G. Kazantsev Russia
N. Ianiro Italy
Lukas Exl Austria
R. Shail United Kingdom
Jianying Zhang China
G. Kunert Germany
Mark Seager relative to Christoph Pflaum Germany Christoph Pflaum's profile →
Citations per field
00.5×2.6×
Christoph Pflaum · 1×
Citations per year

Countries citing papers authored by Mark Seager

Since Specialization
Citations

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

Fields of papers citing papers by Mark Seager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Seager. 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 Mark Seager. The network helps show where Mark Seager may publish in the future.

Co-authors

The 13 scholars most cited alongside Mark Seager, 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 Mark Seager Line = papers co-authored together Mark Seager links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2002119
2 2002106
3 198561
4 198639
5 198610
6 19859
7 19908
8
Simulating the scheduling of parallel supercomputer applications
19897
9 20046
10
Graphical Multiprocessing Analysis Tool (GMAT)
19884
11 19883
12 20091
13 20020

About Mark Seager

Mark Seager is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics, having authored 13 papers that have together received 373 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Distributed and Parallel Computing Systems (3 papers), Numerical methods in engineering (2 papers), Embedded Systems Design Techniques (2 papers), Advanced Optimization Algorithms Research (2 papers), Matrix Theory and Algorithms (2 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). The work is most often cited by research in Structural Biology (9 citations), Mechanics of Materials (144 citations), Computational Mechanics (109 citations), Computational Theory and Mathematics (78 citations) and Numerical Analysis (23 citations). Mark Seager has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Huajian Gao, T. Dı́az de la Rubia, R. E. Walkup, Farid F. Abraham, Mark A. Duchaineau, Graham F. Carey, James M. Stichnoth, José E. Moreira, Jaroslaw Nieplocha and Craig Stunkel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Parallel Computing, The International Journal of High Performance Computing Applications, International Journal for Numerical Methods in Engineering and Computer Methods in Applied Mechanics and Engineering.

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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