Michael J. Decker
- Information Systems top 2%
- Software top 2%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Michael L. CollardJonathan I. MaleticChristian D. NewmanAnthony PerumaMohamed Wiem MkaouerEmily HillNicholas A. Kraft
- Topics
- Software Engineering Research (18 papers)Advanced Malware Detection Techniques (9 papers)Software Reliability and Analysis Research (7 papers)
- Journals
- IEEE Transactions on Software EngineeringJournal of Systems and SoftwareJournal of Software Evolution and Process
- Partner nations
- United StatesSaudi Arabia
In The Last Decade
Michael J. Decker
20 papers receiving 317 citations
Peers
Comparison fields: 5 of 18
- Information Systems 296
- Software 181
- Artificial Intelligence 102
- Signal Processing 86
- Computer Networks and Communications 73
Countries citing papers authored by Michael J. Decker
This map shows the geographic impact of Michael J. Decker'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 J. Decker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Decker more than expected).
Fields of papers citing papers by Michael J. Decker
This network shows the impact of papers produced by Michael J. Decker. 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 J. Decker. The network helps show where Michael J. Decker may publish in the future.
Co-authorship network of co-authors of Michael J. Decker
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Decker. A scholar is included among the top collaborators of Michael J. Decker 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 Michael J. Decker. Michael J. Decker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | On the Generation, Structure, and Semantics of Grammar Patterns in Source Code Identifiers | 17 |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 35 | |
| 10 | 3 | |
| 11 | Which Method-Stereotype Changes are Indicators of Code Smells? | 1 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | srcDiff: Syntactic Differencing to Support Software Maintenance and Evolution | 6 |
| 16 | 4 | |
| 17 | 93 | |
| 18 | Structural Analysis of Source-Code Changes in Large Software through SrcDiff and DiffPath | 1 |
| 19 | 0 | |
| 20 | 75 |
About Michael J. Decker
Michael J. Decker is a scholar working on Software, Information Systems and Signal Processing, having authored 22 papers that have together received 325 indexed citations. Recurring topics across this work include Software Engineering Research (18 papers), Advanced Malware Detection Techniques (9 papers) and Software Reliability and Analysis Research (7 papers). The work is most often cited by research in Software (181 citations), Information Systems (296 citations) and Signal Processing (86 citations). Michael J. Decker has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Michael L. Collard, Jonathan I. Maletic, Christian D. Newman, Anthony Peruma, Mohamed Wiem Mkaouer, Emily Hill and Nicholas A. Kraft. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and Journal of Software Evolution and Process.
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.