J. DeVale
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
Papers in
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- Software System Performance and Reliability 3
-
- 3D IC and TSV technologies 2
- Integrated Circuits and Semiconductor Failure Analysis 2
- Co-authors
- Philip Koopman (4 shared papers)Clair Webb (1 shared paper)Gabriel H. Loh (1 shared paper)P. Morrow (1 shared paper)Bryan Black (1 shared paper)Sadasivan Shankar (1 shared paper)John Paul Shen (1 shared paper)Jeff Rupley (1 shared paper)
- Journals
- IEEE Transactions on Software Engineering (1 paper)Journal of Cryptographic Engineering (1 paper)Figshare (1 paper)Defense Technical Information Center (DTIC) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
J. DeVale
8 papers receiving 591 citations
J. DeVale's Hit Papers
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 282
- Software 101
- Computer Networks and Communications 362
- Electrical and Electronic Engineering 377
- Information Systems 91
Countries citing papers authored by J. DeVale
This map shows the geographic impact of J. DeVale'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 J. DeVale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. DeVale more than expected).
Fields of papers citing papers by J. DeVale
This network shows the impact of papers produced by J. DeVale. 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 J. DeVale. The network helps show where J. DeVale may publish in the future.
Co-authors
The 16 scholars most cited alongside J. DeVale, 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 | Die Stacking (3D) Microarchitecture Hit paper breakdown → | 2006 | 449 |
| 2 | 2003 | 85 | |
| 3 | 2000 | 73 | |
| 4 | 2002 | 8 | |
| 5 | Metrics for TRUST in Integrated Circuits | 2008 | 4 |
| 6 | High performance robust computer systems | 2001 | 3 |
| 7 | 2010 | 2 | |
| 8 | 2017 | 2 |
About J. DeVale
J. DeVale is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Software and Signal Processing, having authored 8 papers that have together received 626 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (3 papers), Software System Performance and Reliability (3 papers), Software Testing and Debugging Techniques (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), 3D IC and TSV technologies (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Time Series Analysis and Forecasting (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (282 citations), Software (101 citations), Computer Networks and Communications (362 citations), Electrical and Electronic Engineering (377 citations) and Information Systems (91 citations). J. DeVale has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Philip Koopman, Clair Webb, Gabriel H. Loh, P. Morrow, Bryan Black, Sadasivan Shankar, John Paul Shen, Jeff Rupley, Daniel Pantuso and Donald W. Nelson. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Cryptographic Engineering, Figshare and Defense Technical Information Center (DTIC).
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.