Michael Carbin

5.8k citations
61 papers · 2.0k · h-index 22

Impact in

    • Parallel Computing and Optimization Techniques
  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research

Papers in

Michael Carbin

58 papers receiving 1.9k citations

Peers

Michael Carbin
Comparison fields: 5 of 79
  • Hardware and Architecture 825
  • Software 394
  • Computational Mathematics 18
  • Computer Networks and Communications 611
  • Artificial Intelligence 796
Replace Chris Lattner with:
Chris Lattner United States
John Cavazos United States
Gianluca Palermo Italy
Saša Misailovíc United States
Michael O’Boyle United Kingdom
Trishul Chilimbi United States
Alexandru Nicolau United States
Jingling Xue Australia
Olatunji Ruwase United States
Martin S. Beck Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Michael Carbin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Carbin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009278
2
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.
2019237
3 2011236
4 2013167
5 2005118
6 2014104
7 201275
8 201054
9 201348
10
The Lottery Ticket Hypothesis: Training Pruned Neural Networks.
201846
11 201145
12 202144
13 201143
14 201443
15 200636
16 201234
17 200734
18 202032
19 201226
20 202125

About Michael Carbin

Michael Carbin is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (26 papers), Advanced Neural Network Applications (9 papers), Distributed systems and fault tolerance (9 papers), Logic, programming, and type systems (8 papers), Cloud Computing and Resource Management (7 papers), Radiation Effects in Electronics (7 papers), Formal Methods in Verification (7 papers) and Machine Learning and Algorithms (6 papers). The work is most often cited by research in Hardware and Architecture (825 citations), Software (394 citations), Computational Mathematics (18 citations), Computer Networks and Communications (611 citations) and Artificial Intelligence (796 citations). Michael Carbin has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Martin Rinard, Saša Misailovíc, Jonathan Frankle, Stelios Sidiroglou, Henry Hoffmann, Anant Agarwal, Sara Achour, Saman Amarasinghe, Deokhwan Kim and Frank P. Sherwood. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Communications of the ACM, ACM Computing Surveys and ACM SIGOPS Operating Systems Review.

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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