Joel Baxter

1.2k citations
9 papers · 865 indexed · 1 hit paper · h-index 7
Topics
Parallel Computing and Optimization Techniques (9 papers)Distributed systems and fault tolerance (6 papers)Cloud Computing and Resource Management (4 papers)
Journals
ACM SIGPLAN NoticesACM SIGOPS Operating Systems ReviewACM SIGARCH Computer Architecture News
Partner nations
United States

In The Last Decade

Joel Baxter

9 papers receiving 757 citations

Hit Papers

The Stanford FLASH multiprocessor19942026200420151994100200300400500

Peers

Joel Baxter
Comparison fields: 5 of 23
  • Hardware and Architecture 759
  • Computer Networks and Communications 748
  • Electrical and Electronic Engineering 125
  • Information Systems 110
  • Artificial Intelligence 57
Replace John Heinlein with:
John Heinlein United States
Richard Simoni United States
Santosh G. Abraham United States
David Ofelt United States
Brian Koblenz United States
Robert Stets United States
C. Scheurich United States
Anita Borg United States
Tin‐Fook Ngai United States
G. Lakshminarayana United States
Joel Baxter relative to John Heinlein United States John Heinlein's profile →
Citations per field
00.5×1.5×1.8×
John Heinlein · 1×
Citations per year

Countries citing papers authored by Joel Baxter

Since Specialization
Citations

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

Fields of papers citing papers by Joel Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Baxter

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 152
2 10
3 4
4 27
5
The Stanford FLASH multiprocessorbreakdown →
504
6 73
7 76
8 1
9 18

About Joel Baxter

Joel Baxter is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 9 papers that have together received 865 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Distributed systems and fault tolerance (6 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Hardware and Architecture (759 citations), Computer Networks and Communications (748 citations) and Software (25 citations). Joel Baxter has collaborated with scholars based in United States. Frequent co-authors include Mendel Rosenblum, Mark Horowitz, John Heinlein, David Ofelt, Jeffrey S. Kuskin, Mark Heinrich, John L. Hennessy, Kourosh Gharachorloo, Richard Simoni and John Chapin. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and ACM SIGARCH Computer Architecture News.

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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