Ewing Lusk

977 citations
33 papers · 621 · h-index 13

Impact in

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

Papers in

    • Distributed and Parallel Computing Systems 14
    • Advanced Data Storage Technologies 10
    • Distributed systems and fault tolerance 6
    • Interconnection Networks and Systems 2
    • Parallel Computing and Optimization Techniques 19
    • Embedded Systems Design Techniques 3

Ewing Lusk

31 papers receiving 573 citations

Peers

Ewing Lusk
Comparison fields: 5 of 61
  • Hardware and Architecture 320
  • Computer Networks and Communications 364
  • Computational Theory and Mathematics 71
  • Nuclear and High Energy Physics 49
  • Numerical Analysis 19
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Citations per field
00.5×4.6×
Ralph Butler · 1×
Citations per year

Countries citing papers authored by Ewing Lusk

Since Specialization
Citations

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

Fields of papers citing papers by Ewing Lusk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996100
2 200969
3
Using Advanced MPI: Modern Features of the Message-Passing Interface
201469
4 201146
5
Using MPI: Portable Programming with the Message-Passing Interface
199946
6 201845
7 201041
8 200728
9 199026
10 199023
11 200820
12 200218
13 199517
14 200412
15 200912
16 19869
17 20107
18 19926
19 20023
20 19953

About Ewing Lusk

Ewing Lusk is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics and Information Systems and Management, having authored 33 papers that have together received 621 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (19 papers), Distributed and Parallel Computing Systems (14 papers), Advanced Data Storage Technologies (10 papers), Distributed systems and fault tolerance (6 papers), Embedded Systems Design Techniques (3 papers), Logic, programming, and type systems (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Hardware and Architecture (320 citations), Computer Networks and Communications (364 citations), Computational Theory and Mathematics (71 citations), Nuclear and High Energy Physics (49 citations) and Numerical Analysis (19 citations). Ewing Lusk has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include William Gropp, Rajeev Thakur, Pavan Balaji, Torsten Hoefler, Darius Buntinas, David Goodell, Anthony Skjellum, Katherine Yelick, Sameer Kumar and Jesper Larsson Träff. Their work appears in journals such as Lecture notes in computer science, The International Journal of High Performance Computing Applications, IBM Systems Journal, Physical review. C and Parallel Processing Letters.

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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