Steve W. Otto

4.8k total citations · 1 hit paper
55 papers, 3.1k citations indexed

About

Steve W. Otto is a scholar working on Computer Networks and Communications, Hardware and Architecture and Nuclear and High Energy Physics. According to data from OpenAlex, Steve W. Otto has authored 55 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 21 papers in Hardware and Architecture and 17 papers in Nuclear and High Energy Physics. Recurrent topics in Steve W. Otto's work include Parallel Computing and Optimization Techniques (21 papers), Distributed and Parallel Computing Systems (19 papers) and Quantum Chromodynamics and Particle Interactions (17 papers). Steve W. Otto is often cited by papers focused on Parallel Computing and Optimization Techniques (21 papers), Distributed and Parallel Computing Systems (19 papers) and Quantum Chromodynamics and Particle Interactions (17 papers). Steve W. Otto collaborates with scholars based in United States, United Kingdom and France. Steve W. Otto's co-authors include Jack Dongarra, David Walker, Marc Snir, Steven Huss‐Lederman, Olivier Martin, Geoffrey Fox, John D. Stack, Tony Hey, Edward W. Felten and Rajan Gupta and has published in prestigious journals such as Physical Review Letters, Physics Today and Nuclear Physics B.

In The Last Decade

Steve W. Otto

50 papers receiving 2.8k citations

Hit Papers

MPI: The Complete Reference 1996 2026 2006 2016 1996 400 800 1.2k

Peers

Steve W. Otto
Comparison fields: 5 of 125
  • Computer Networks and Communications 1.4k
  • Hardware and Architecture 1.1k
  • Nuclear and High Energy Physics 481
  • Artificial Intelligence 476
  • Computational Theory and Mathematics 348
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Citations per field, relative to Steve W. Otto
Steve W. Otto · 1×
Citations per year, relative to Steve W. Otto
Steve W. Otto · 1×

Countries citing papers authored by Steve W. Otto

Since Specialization
Citations

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

Fields of papers citing papers by Steve W. Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve W. Otto

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2
MPI - The Complete Reference: Volume 1, The MPI Core
142
3
Dynamic Load Distribution in MIST
0
4 12
5 76
6 33
7
MIST: PVM with Transparent Migration and Checkpointing
41
8 26
9
Scheduling of Parallel Jobs on Dynamic, Heterogenous Networks
2
10 51
11 4
12 27
13 9
14 5
15
The Traveling Salesman Problem on a Hypercubic, MIMD Computer.
25
16 19
17 1
18 120
19 14
20 83

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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