Mark W. Reichelt

4.1k total citations · 1 hit paper
11 papers, 3.0k citations indexed

About

Mark W. Reichelt is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Electrical and Electronic Engineering. According to data from OpenAlex, Mark W. Reichelt has authored 11 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Numerical Analysis and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Mark W. Reichelt's work include Matrix Theory and Algorithms (8 papers), Numerical methods for differential equations (7 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). Mark W. Reichelt is often cited by papers focused on Matrix Theory and Algorithms (8 papers), Numerical methods for differential equations (7 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). Mark W. Reichelt collaborates with scholars based in United States. Mark W. Reichelt's co-authors include L. F. Shampine, Jacob White, Andrew Lumsdaine, Jeffrey M. Squyres and Jonathan Allen and has published in prestigious journals such as SIAM Review, SIAM Journal on Scientific Computing and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Mark W. Reichelt

10 papers receiving 2.9k citations

Hit Papers

The MATLAB ODE Suite 1997 2026 2006 2016 1997 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The MATLAB ODE Suite
    1997 2.7k citations L. F. Shampine, Mark W. Reichelt SIAM Journal on Scientific Computing profile →

Peers

Mark W. Reichelt
Radu Serban United States
R. Ian Fletcher United States
William E. Schiesser United States
Donald Greenspan United States
Carol S. Woodward United States
A. H. Nayfeh United States
Hans‐Joachim Bungartz Germany
W.F. Ames United States
Leon Lapidus United States
P.J. Prince United Kingdom
Radu Serban United States
Mark W. Reichelt
Citations per year, relative to Mark W. Reichelt Mark W. Reichelt (= 1×) peers Radu Serban

Countries citing papers authored by Mark W. Reichelt

Since Specialization
Citations

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

Fields of papers citing papers by Mark W. Reichelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark W. Reichelt

This figure shows the co-authorship network connecting the top 25 collaborators of Mark W. Reichelt. A scholar is included among the top collaborators of Mark W. Reichelt 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 Mark W. Reichelt. Mark W. Reichelt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Reichelt, Mark W., et al.. (2003). Waveform relaxation for transient simulation of two-dimensional MOS devices. 412–415. 3 indexed citations
3.
Lumsdaine, Andrew, Jeffrey M. Squyres, & Mark W. Reichelt. (2002). Waveform iterative methods for parallel solution of initial value problems. 2. 88–97. 1 indexed citations
4.
Lumsdaine, Andrew, Mark W. Reichelt, & Jacob White. (2002). Conjugate direction waveform methods for transient two-dimensional simulation of MOS devices. 116–119. 2 indexed citations
5.
Shampine, L. F., et al.. (1999). Solving Index-1 DAEs in MATLAB and Simulink. SIAM Review. 41(3). 538–552. 307 indexed citations
6.
Shampine, L. F. & Mark W. Reichelt. (1997). The MATLAB ODE Suite. SIAM Journal on Scientific Computing. 18(1). 1–22. 2688 indexed citations breakdown →
7.
Lumsdaine, Andrew, Mark W. Reichelt, Jeffrey M. Squyres, & Jacob White. (1996). Accelerated waveform methods for parallel transient simulation of semiconductor devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 15(7). 716–726. 15 indexed citations
8.
Reichelt, Mark W., Jacob White, & Jonathan Allen. (1995). Optimal Convolution SOR Acceleration of Waveform Relaxation with Application to Parallel Simulation of Semiconductor Devices. SIAM Journal on Scientific Computing. 16(5). 1137–1158. 13 indexed citations
9.
Lumsdaine, Andrew & Mark W. Reichelt. (1993). Waveform Iterative Techniques for Device Transient Simulation on Parallel Machines.. PPSC. 237–245. 5 indexed citations
10.
Reichelt, Mark W.. (1993). Optimal convolution SOR acceleration of waveform relaxation with application to semiconductor device simulation. NASA Technical Reports Server (NASA). 1 indexed citations
11.
Reichelt, Mark W. & Jacob White. (1993). Accelerated waveform relaxation techniques for the parallel transient simulation of semiconductor devices. Medical Entomology and Zoology. 4 indexed citations

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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