Brad Calder

14.2k citations
173 papers · 9.5k indexed · 3 hit papers · h-index 51

Brad Calder

169 papers receiving 8.9k citations

Hit Papers

Erasure coding in windows azure storage55820022026201020184008001.2k

Peers

Brad Calder
Comparison fields: 5 of 69
  • Hardware and Architecture 7.7k
  • Computer Networks and Communications 6.9k
  • Software 565
  • Information Systems 1.9k
  • Artificial Intelligence 1.5k
Replace Susan J. Eggers with:
Susan J. Eggers United States
Lieven Eeckhout Belgium
Robert Cohn United States
Gurindar S. Sohi United States
Kim Hazelwood United States
Vikram Adve United States
Harish Patil United States
David I. August United States
Artur Klauser United States
J. Eliot B. Moss United States
Brad Calder relative to Susan J. Eggers United States Susan J. Eggers's profile →
Citations per field
00.5×3.8×
Susan J. Eggers · 1×
Citations per year

Countries citing papers authored by Brad Calder

Since Specialization
Citations

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

Fields of papers citing papers by Brad Calder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Erasure coding in windows azure storagebreakdown →
2012558
2 20072
3
Accelerating Meta Data Checks for Software Correctness and Security
200715
4 200681
5 2006120
6
Using Machine Learning to Guide Architecture Simulation
200610
7
Software Profiling for Deterministic Replay Debugging of User Code
20066
8 200313
9 2003145
10 200265
11 200231
12 199959
13 199928
14 199966
15 1999123
16 199854
17 199838
18 199899
19 1997144
20 199468

About Brad Calder

Brad Calder is a scholar working on Hardware and Architecture, Computer Networks and Communications, Software, Information Systems and Electrical and Electronic Engineering, having authored 173 papers that have together received 9.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (156 papers), Advanced Data Storage Technologies (62 papers), Embedded Systems Design Techniques (40 papers), Software System Performance and Reliability (31 papers), Cloud Computing and Resource Management (31 papers), Radiation Effects in Electronics (27 papers), Distributed systems and fault tolerance (22 papers) and Distributed and Parallel Computing Systems (20 papers). The work is most often cited by research in Hardware and Architecture (7.7k citations), Computer Networks and Communications (6.9k citations), Software (565 citations), Information Systems (1.9k citations) and Artificial Intelligence (1.5k citations). Brad Calder has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Timothy Sherwood, Erez Perelman, Greg Hamerly, Dirk Grunwald, Satish Narayanasamy, Suleyman Sair, Dean M. Tullsen, Glenn Reinman, Gilles Pokam and George Varghese. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Micro, ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Computers and Journal of Parallel and Distributed Computing.

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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