Michael T. Heath

92 papers receiving 6.0k citations

Hit Papers

Scientific Computing: An Introductory Survey 1996 · 702 citations
702197920261994201050010001.5k2.0k2.5k

Peers

Michael T. Heath
Comparison fields: 5 of 173
  • Hardware and Architecture 990
  • Computational Mathematics 80
  • Numerical Analysis 411
  • Computational Theory and Mathematics 1.1k
  • Statistics and Probability 449
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Richard Hanson United States
Richard P. Brent Australia
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Citations per year

Countries citing papers authored by Michael T. Heath

Since Specialization
Citations

This map shows the geographic impact of Michael T. Heath'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 Michael T. Heath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Heath more than expected).

Fields of papers citing papers by Michael T. Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Heath. 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 Michael T. Heath. The network helps show where Michael T. Heath may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael T. Heath, 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 Michael T. Heath Line = papers co-authored together Michael T. Heath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202312
2 201821
3 201513
4 20138
5 201070
6 20056
7
Efficient and Robust Algorithm for Overlaying Nonmatching Surface Meshes.
20013
8 19999
9
Scientific Computing: An Introductory Survey
Hit paper breakdown →
1996702
10
Visualizing the performance of parallel programs
199547
11
O(N1.5) solution of hybrid FEM problems
19941
12
Performance Characterization Research at Oak Ridge National Laboratory
19892
13 198932
14
Hypercube multiprocessors 1986
198622
15 198659
16 198611
17 19867
18 198120
19 1980140
20
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
Hit paper breakdown →
19792651

About Michael T. Heath

Michael T. Heath is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design, Computational Mathematics, Computer Networks and Communications and Numerical Analysis, having authored 96 papers that have together received 6.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (25 papers), Matrix Theory and Algorithms (18 papers), Distributed and Parallel Computing Systems (17 papers), Interconnection Networks and Systems (17 papers), Computer Graphics and Visualization Techniques (8 papers), Advanced Data Storage Technologies (8 papers), Cloud Computing and Resource Management (7 papers) and Rocket and propulsion systems research (7 papers). The work is most often cited by research in Hardware and Architecture (990 citations), Computational Mathematics (80 citations), Numerical Analysis (411 citations), Computational Theory and Mathematics (1.1k citations) and Statistics and Probability (449 citations). Michael T. Heath has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gene H. Golub, Grace Wahba, Alan D. George, Xiangmin Jiao, Esmond Ng, Ali Pınar, C.H. Romine, Barry W. Peyton, G.A. Geist and Joseph K. Liu. Their work appears in journals such as Linear Algebra and its Applications, The International Journal of High Performance Computing Applications, International Journal for Numerical Methods in Engineering, Computer and Technometrics.

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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