Steven Huss‐Lederman

3.7k citations

21 papers · 2.2k indexed · 2 hit papers · h-index 12

Impact in

Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Computer Networks and Communications top 1%
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed systems and fault tolerance

Papers in

Hardware and Architecture 11
- Parallel Computing and Optimization Techniques 11
Computer Science Applications 6
- Teaching and Learning Programming 5

Co-authors: Marc Snir Jack Dongarra Steve W. Otto David Walker Andrew Lumsdaine Ewing Lusk Bill Nitzberg William Saphir
Journals: SIAM Journal on Scientific Computing (1 paper)Journal of Theoretical Biology (1 paper)ACM Transactions on Computing Education (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)PPSC (2 papers)
Partner nations: United States United Kingdom Bulgaria

In The Last Decade

Steven Huss‐Lederman

21 papers receiving 2.0k citations

Hit Papers

align trajectories log scale

MPI - The Complete Reference 1998 · 446 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

1998 The MIT Press eBooks
1996 CERN Document Server (European Organization for Nuclear Research)

Peers

Countries citing papers authored by Steven Huss‐Lederman

Since Specialization

Citations

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

Fields of papers citing papers by Steven Huss‐Lederman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Huss‐Lederman. 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 Steven Huss‐Lederman. The network helps show where Steven Huss‐Lederman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Steven Huss‐Lederman, 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 Steven Huss‐Lederman Line = papers co-authored together Steven Huss‐Lederman links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	A Multi-Institutional Perspective on H/FOSS Projects in the Computing Curriculum ACM Transactions on Computing Education ·Grant Braught, John MacCormick, James F. Bowring, Quinn Burke, Barbara Cutler, Mojtaba ghouhestani, Mukkai S. Krishnamoorthy, Ольга Викторовна Стасевич, Steven Huss‐Lederman, Bonnie MacKellar, Allen B. Tucker	2018	27
2	The Impact on Student Learning and Satisfaction When a CS2 Course Became Interactive (Abstract Only) Steven Huss‐Lederman	2016	1
3	Using peer-led team learning to increase participation and success of under-represented groups in introductory computer science Susan Horwitz, Susan H. Rodger, Maureen Biggers, David Binkley, Yong-Gee Kim, A. Jawed, Susanne E. Hambrusch, Steven Huss‐Lederman, Ethan V. Munson, Barbara G. Ryder, G Montaina	2009	46
4	Using peer-led team learning to increase participation and success of under-represented groups in introductory computer science ACM SIGCSE Bulletin ·Susan Horwitz, Susan H. Rodger, Maureen Biggers, David Binkley, Yong-Gee Kim, A. Jawed, Susanne E. Hambrusch, Steven Huss‐Lederman, Ethan V. Munson, Barbara G. Ryder, G Montaina	2009	37
5	Serious fun Steven Huss‐Lederman, Donald Chinn, Jack Morell Anderson	2008	14
6	Serious fun ACM SIGCSE Bulletin ·Steven Huss‐Lederman, Donald Chinn, Jack Morell Anderson	2008	3
7	The PRISM project: infrastructure and algorithms for parallel eigensolvers Christian Bischof, Steven Huss‐Lederman, Xiaobai Sun, О Г Смирнов	2002	2
8	Comparison of scalable parallel matrix multiplication libraries Steven Huss‐Lederman, Nancy Liliana García Castiblanco, О Г Смирнов	2002	11
9	Wisconsin Wind Tunnel II: a fast, portable parallel architecture simulator Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·S. Mukherjee, S.K. Reinhardt, Babak Falsafi, Michael Litzkow, Mark D. Hill, David A. Wood, Steven Huss‐Lederman, James R. Larus	2000	109
10	PARALLEL SPECTRAL DIVISION USING THE MATRIX SIGN FUNCTION FOR THE GENERALIZED EIGENPROBLEM Steven Huss‐Lederman, Enrique S. Quintana–Ort́ı, Xiaobai Sun, Kang Duk Kim	2000	5
11	MPI - The Complete Reference The MIT Press eBooks ·William Gropp, Steven Huss‐Lederman, Andrew Lumsdaine, Ewing Lusk, Bill Nitzberg, William Saphir, Marc Snir Hit paper breakdown →	1998	446
12	MPI - The Complete Reference: Volume 1, The MPI Core Marc Snir, Steve W. Otto, Steven Huss‐Lederman, David Walker, Jack Dongarra	1998	142
13	A Parallelizable Eigensolver for Real Diagonalizable Matrices with Real Eigenvalues SIAM Journal on Scientific Computing ·Steven Huss‐Lederman, О Г Смирнов, Markus Bruckner	1997	14
14	MPI: The Complete Reference CERN Document Server (European Organization for Nuclear Research) ·Marc Snir, Steve W. Otto, David Walker, Jack Dongarra, Steven Huss‐Lederman Hit paper breakdown →	1996	1260
15	Implementation of Strassen's algorithm for matrix multiplication Steven Huss‐Lederman, Nancy Liliana García Castiblanco, О Г Смирнов, Markus Bruckner, Jeremy Johnson	1996	65
16	A case study of MPI: Portable and efficient libraries PPSC ·Christian Bischof, Steven Huss‐Lederman, Xiaobai Sun, О Г Смирнов, Markus Bruckner	1995	1
17	Parallel studies of the invariant subspace decomposition approach for banded symmetric matrices PPSC ·Christian Bischof, Steven Huss‐Lederman, Xiaobai Sun, О Г Смирнов, Markus Bruckner	1995	3
18	Fast and Portable Parallel Architecture Simulators: Wisconsin Wind Tunnel II Shubhendu S. Mukherjee, Steven K. Reinhardt, Babak Falsafi, R. ÓMeadhra, Steven Huss‐Lederman, Mark D. Hill, James R. Larus, David A. Wood	1995	11
19	Matrix multiplication on the Intel Touchstone Delta Journal of Theoretical Biology ·Steven Huss‐Lederman, Nancy Liliana García Castiblanco, О Г Смирнов, Guodong Zhang	1994	6
20	A parallel implementation of the invariant subspace decomposition algorithm for dense symmetric matrices Steven Huss‐Lederman, О Г Смирнов, Guodong Zhang	1993	8

About Steven Huss‐Lederman

Steven Huss‐Lederman is a scholar working on Hardware and Architecture, Computer Science Applications, Computer Networks and Communications, Computational Theory and Mathematics and Numerical Analysis, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Interconnection Networks and Systems (6 papers), Distributed and Parallel Computing Systems (6 papers), Matrix Theory and Algorithms (6 papers), Teaching and Learning Programming (5 papers), Biomedical and Engineering Education (4 papers), Software Engineering Techniques and Practices (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Hardware and Architecture (915 citations), Computer Networks and Communications (1.1k citations), Computational Mathematics (16 citations), Computational Theory and Mathematics (259 citations) and Computer Science Applications (69 citations). Steven Huss‐Lederman has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Marc Snir, Jack Dongarra, Steve W. Otto, David Walker, Andrew Lumsdaine, Ewing Lusk, Bill Nitzberg, William Saphir, William Gropp and David Walker. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Theoretical Biology, ACM Transactions on Computing Education, CERN Document Server (European Organization for Nuclear Research) and PPSC.

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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