Charles E. Leiserson

41.0k citations
141 papers · 25.7k · 14 hit papers · h-index 46

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Interconnection Networks and Systems
    • Distributed and Parallel Computing Systems
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance

Papers in

    • Interconnection Networks and Systems 41
    • Distributed and Parallel Computing Systems 29
    • Optimization and Search Problems 20
    • Distributed systems and fault tolerance 19
    • Advanced Data Storage Technologies 19
    • Parallel Computing and Optimization Techniques 71
    • Embedded Systems Design Techniques 12

Charles E. Leiserson

135 papers receiving 23.4k citations

Charles E. Leiserson's Hit Papers

There’s plenty of room at the Top: What will drive computer performance after Moore’s law? 2020 · 253 citations
2530+16+32Years since publication2.5k5.0k7.5k10.0k

Peers

Charles E. Leiserson
Comparison fields: 5 of 196
  • Hardware and Architecture 9.4k
  • Computer Networks and Communications 13.1k
  • Computer Graphics and Computer-Aided Design 937
  • Computational Theory and Mathematics 4.0k
  • Artificial Intelligence 6.3k
Replace Richard M. Karp with:
Richard M. Karp United States
Thomas H. Cormen United States
David S. Johnson United States
Ronald L. Rivest United States
Alfred V. Aho United States
M. R. Garey United States
V. J. Rayward‐Smith United Kingdom
Jeffrey D. Ullman United States
Robert E. Tarjan United States
George Karypis United States
Charles E. Leiserson relative to Richard M. Karp United States Richard M. Karp's profile →
Citations per field
00.5×2.9×
Richard M. Karp · 1×
Citations per year

Countries citing papers authored by Charles E. Leiserson

Since Specialization
Citations

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

Fields of papers citing papers by Charles E. Leiserson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles E. Leiserson. 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 Charles E. Leiserson. The network helps show where Charles E. Leiserson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Introduction to Algorithms
Hit paper breakdown →
199111618
2
Introduction to Algorithms, third edition
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20091443
3
Introduction to Algorithms, Second Edition
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20011198
4
Fat-trees: Universal networks for hardware-efficient supercomputing
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1985903
5
The implementation of the Cilk-5 multithreaded language
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1998787
6
Scheduling multithreaded computations by work stealing
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1999773
7
Retiming synchronous circuitry
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1991730
8
Cilk
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1995694
9
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
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2020626
10
Systolic Arrays for (VLSI).
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1978506
11
Cilk: An Efficient Multithreaded Runtime System
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1996489
12
Cache-oblivious algorithms
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2003426
13 1981317
14 2005311
15
Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks
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2009271
16
There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
Hit paper breakdown →
2020253
17 1996239
18 2011215
19 2002215
20 1992201

About Charles E. Leiserson

Charles E. Leiserson is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 141 papers that have together received 25.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (71 papers), Interconnection Networks and Systems (41 papers), Distributed and Parallel Computing Systems (29 papers), VLSI and FPGA Design Techniques (23 papers), Optimization and Search Problems (20 papers), Distributed systems and fault tolerance (19 papers), Advanced Data Storage Technologies (19 papers) and Embedded Systems Design Techniques (12 papers). The work is most often cited by research in Hardware and Architecture (9.4k citations), Computer Networks and Communications (13.1k citations), Computer Graphics and Computer-Aided Design (937 citations), Computational Theory and Mathematics (4.0k citations) and Artificial Intelligence (6.3k citations). Charles E. Leiserson has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Ronald L. Rivest, Thomas H. Cormen, V. J. Rayward‐Smith, Robert D. Blumofe, Clifford Stein, Keith H. Randall, Matteo Frigo, James B. Saxe, Bradley C. Kuszmaul and H. T. Kung. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Parallel and Distributed Computing, Journal of the ACM, Theory of Computing Systems and Algorithmica.

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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