Michael Gegick
- Information Systems top 2%
- Software top 2%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Topics
- Software Engineering Research (12 papers)Software Reliability and Analysis Research (11 papers)Information and Cyber Security (7 papers)
- Journals
- The Journal of Chemical PhysicsInformation and Software TechnologyACM SIGSOFT Software Engineering Notes
- Partner nations
- United States
In The Last Decade
Michael Gegick
16 papers receiving 308 citations
Peers
Comparison fields: 5 of 26
- Information Systems 302
- Software 198
- Signal Processing 136
- Computer Networks and Communications 74
- Artificial Intelligence 64
Countries citing papers authored by Michael Gegick
This map shows the geographic impact of Michael Gegick'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 Gegick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gegick more than expected).
Fields of papers citing papers by Michael Gegick
This network shows the impact of papers produced by Michael Gegick. 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 Gegick. The network helps show where Michael Gegick may publish in the future.
Co-authorship network of co-authors of Michael Gegick
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gegick. A scholar is included among the top collaborators of Michael Gegick 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 Gegick. Michael Gegick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 126 | |
| 2 | Identifying security fault reports via text mining | 1 |
| 3 | 25 | |
| 4 | Predicting attack-prone components with source code static analyzers | 3 |
| 5 | 62 | |
| 6 | Predictive models for identifying software components prone to failure during security attacks | 5 |
| 7 | 7 | |
| 8 | STUDENT PAPER: Ranking Attack-prone Components with a Predictive Model | 1 |
| 9 | Predicting attack-prone components with internal metrics | 1 |
| 10 | 6 | |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 18 | |
| 14 | 37 | |
| 15 | 14 | |
| 16 | Analyzing Security Attacks to Generate Signatures from Vulnerable Architectural Patterns | 4 |
About Michael Gegick
Michael Gegick is a scholar working on Software, Information Systems and Signal Processing, having authored 16 papers that have together received 335 indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software Reliability and Analysis Research (11 papers) and Information and Cyber Security (7 papers). The work is most often cited by research in Software (198 citations), Information Systems (302 citations) and Signal Processing (136 citations). Michael Gegick has collaborated with scholars based in United States. Frequent co-authors include Laurie Williams, Tao Xie, Mladen A. Vouk and Jason A. Osborne. Their work appears in journals such as The Journal of Chemical Physics, Information and Software Technology and ACM SIGSOFT Software Engineering Notes.
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.