Josh Cutler
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
Papers in
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- Game Theory and Voting Systems 2
- Fiscal Policies and Political Economy 1
- Fiscal Policy and Economic Growth 1
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- Distributed systems and fault tolerance 1
- Advanced Data Storage Technologies 1
- Co-authors
- J. Gregory Steffan (1 shared paper)Marek Olszewski (1 shared paper)Jacob Montgomery (1 shared paper)Max Gallop (1 shared paper)Scott de Marchi (1 shared paper)Florian M Hollenbach (1 shared paper)Michael Laver (1 shared paper)Matt Dickenson (1 shared paper)
- Journals
- British Journal of Political Science (1 paper)Political Analysis (1 paper)International Conference on Parallel Architectures and Compilation Techniques (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Josh Cutler
4 papers receiving 108 citations
Peers
Comparison fields: 5 of 34
- Hardware and Architecture 53
- Computer Networks and Communications 64
- Experimental and Cognitive Psychology 17
- Political Science and International Relations 22
- Computer Science Applications 5
Countries citing papers authored by Josh Cutler
This map shows the geographic impact of Josh Cutler'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 Josh Cutler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josh Cutler more than expected).
Fields of papers citing papers by Josh Cutler
This network shows the impact of papers produced by Josh Cutler. 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 Josh Cutler. The network helps show where Josh Cutler may publish in the future.
Co-authors
The 8 scholars most cited alongside Josh Cutler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 67 | |
| 2 | 2014 | 25 | |
| 3 | 2013 | 20 | |
| 4 | 2020 | 4 |
About Josh Cutler
Josh Cutler is a scholar working on Economics and Econometrics, Computer Networks and Communications, Sociology and Political Science, Hardware and Architecture and Statistics and Probability, having authored 4 papers that have together received 116 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (2 papers), Fiscal Policies and Political Economy (1 paper), Statistical Methods and Bayesian Inference (1 paper), Survey Methodology and Nonresponse (1 paper), Fiscal Policy and Economic Growth (1 paper), Distributed systems and fault tolerance (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (53 citations), Computer Networks and Communications (64 citations), Experimental and Cognitive Psychology (17 citations), Political Science and International Relations (22 citations) and Computer Science Applications (5 citations). Josh Cutler has collaborated with scholars based in United States and Canada. Frequent co-authors include J. Gregory Steffan, Marek Olszewski, Jacob Montgomery, Max Gallop, Scott de Marchi, Florian M Hollenbach, Michael Laver and Matt Dickenson. Their work appears in journals such as British Journal of Political Science, Political Analysis, International Conference on Parallel Architectures and Compilation Techniques and CERN Document Server (European Organization for Nuclear Research).
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.