Byron J. Williams
- Information Systems top 2%
- Software top 2%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Jeffrey C. CarverKazi Zakia SultanaEdward B. AllenRayford B. VaughnMuhammad NadeemAjay BandiGary L. BradshawAmiangshu Bosu
- Topics
- Software Engineering Research (24 papers)Software Reliability and Analysis Research (16 papers)Advanced Malware Detection Techniques (13 papers)
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
Byron J. Williams
30 papers receiving 408 citations
Peers
Comparison fields: 5 of 44
- Information Systems 356
- Software 177
- Computer Networks and Communications 110
- Artificial Intelligence 101
- Signal Processing 81
Countries citing papers authored by Byron J. Williams
This map shows the geographic impact of Byron J. Williams'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 Byron J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byron J. Williams more than expected).
Fields of papers citing papers by Byron J. Williams
This network shows the impact of papers produced by Byron J. Williams. 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 Byron J. Williams. The network helps show where Byron J. Williams may publish in the future.
Co-authorship network of co-authors of Byron J. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Byron J. Williams. A scholar is included among the top collaborators of Byron J. Williams 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 Byron J. Williams. Byron J. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | {BigMAC}: {Fine-Grained} Policy Analysis of Android Firmware | 8 |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 14 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 26 | |
| 17 | 34 | |
| 18 | 5 | |
| 19 | Change Risk Assessment: Understanding Risks Involved in Changing Software Requirements. | 22 |
| 20 | 6 |
About Byron J. Williams
Byron J. Williams is a scholar working on Software, Information Systems and Signal Processing, having authored 31 papers that have together received 429 indexed citations. Recurring topics across this work include Software Engineering Research (24 papers), Software Reliability and Analysis Research (16 papers) and Advanced Malware Detection Techniques (13 papers). The work is most often cited by research in Software (177 citations), Information Systems (356 citations) and Computer Science Applications (58 citations). Byron J. Williams has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Jeffrey C. Carver, Kazi Zakia Sultana, Edward B. Allen, Rayford B. Vaughn, Muhammad Nadeem, Ajay Bandi, Gary L. Bradshaw, Amiangshu Bosu, Clemente Izurieta and Tanmay Bhowmik. Their work appears in journals such as IEEE Access, Information and Software Technology and Empirical Software Engineering.
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.