Todd Gamblin

2.3k total citations
91 papers, 1.4k citations indexed

About

Todd Gamblin is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Todd Gamblin has authored 91 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Networks and Communications, 62 papers in Hardware and Architecture and 29 papers in Information Systems. Recurrent topics in Todd Gamblin's work include Parallel Computing and Optimization Techniques (61 papers), Advanced Data Storage Technologies (43 papers) and Software System Performance and Reliability (28 papers). Todd Gamblin is often cited by papers focused on Parallel Computing and Optimization Techniques (61 papers), Advanced Data Storage Technologies (43 papers) and Software System Performance and Reliability (28 papers). Todd Gamblin collaborates with scholars based in United States, Japan and Germany. Todd Gamblin's co-authors include Bronis R. de Supinski, Martin Schulz, Abhinav Bhatelé, Adam Moody, Peer‐Timo Bremer, Matthew LeGendre, Katherine E. Isaacs, Nikhil Jain, Olga Pearce and Alfredo Giménez and has published in prestigious journals such as Communications of the ACM, Computer and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Todd Gamblin

85 papers receiving 1.4k citations

Peers

Todd Gamblin
Comparison fields: 5 of 75
  • Computer Networks and Communications 1.1k
  • Hardware and Architecture 703
  • Information Systems 512
  • Computer Vision and Pattern Recognition 172
  • Information Systems and Management 167
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Citations per field, relative to Todd Gamblin
Todd Gamblin · 1×
Citations per year, relative to Todd Gamblin
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Countries citing papers authored by Todd Gamblin

Since Specialization
Citations

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

Fields of papers citing papers by Todd Gamblin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Gamblin

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Gamblin. A scholar is included among the top collaborators of Todd Gamblin 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 Todd Gamblin. Todd Gamblin 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 0
3 1
4 6
5 0
6 5
7 12
8 15
9 25
10 22
11
Cluster Workload Analytics Revisited
1
12 11
13 7
14 3
15 12
16
Intuitive Performance Visualization Techniques for Topological Analysis on Capability Machines
0
17 6
18
An Open Infrastructure for Scalable, Reconfigurable Analysis
0
19 16
20
Challenges of Scale: When All Computing Becomes Grid Computing.
2

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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