William Killian
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 2
- Software System Performance and Reliability 1
-
- Parallel Computing and Optimization Techniques 4
- Embedded Systems Design Techniques 1
- Co-authors
- John Cavazos (4 shared papers)Cristina Silvano (1 shared paper)Amir H. Ashouri (1 shared paper)Gianluca Palermo (1 shared paper)Adam Kunen (2 shared papers)Peter Robinson (1 shared paper)David Beckingsale (1 shared paper)Rich Hornung (1 shared paper)
- Journals
- ACM Computing Surveys (1 paper)Lecture notes in computer science (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
William Killian
5 papers receiving 328 citations
Peers
Comparison fields: 5 of 52
- Hardware and Architecture 205
- Software 41
- Computer Networks and Communications 165
- Computational Mathematics 3
- Information Systems 86
Countries citing papers authored by William Killian
This map shows the geographic impact of William Killian'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 William Killian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Killian more than expected).
Fields of papers citing papers by William Killian
This network shows the impact of papers produced by William Killian. 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 William Killian. The network helps show where William Killian may publish in the future.
Co-authors
The 14 scholars most cited alongside William Killian, 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 | 2019 | 157 | |
| 2 | 2018 | 133 | |
| 3 | 2013 | 29 | |
| 4 | 2017 | 17 | |
| 5 | 2018 | 2 |
About William Killian
William Killian is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Signal Processing and Software, having authored 5 papers that have together received 338 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Distributed and Parallel Computing Systems (2 papers), Software System Performance and Reliability (1 paper), Software Testing and Debugging Techniques (1 paper), Software Engineering Research (1 paper), Embedded Systems Design Techniques (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (205 citations), Software (41 citations), Computer Networks and Communications (165 citations), Computational Mathematics (3 citations) and Information Systems (86 citations). William Killian has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include John Cavazos, Cristina Silvano, Amir H. Ashouri, Gianluca Palermo, Adam Kunen, Peter Robinson, David Beckingsale, Rich Hornung, Tom Scogland and Olga Pearce. Their work appears in journals such as ACM Computing Surveys, Lecture notes in computer science and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.