Godmar Back
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
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- Parallel Computing and Optimization Techniques 13
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- Teaching and Learning Programming 9
- Co-authors
- Jay Lepreau (7 shared papers)Wilson C. Hsieh (5 shared papers)Bryan Ford (4 shared papers)Dawson Engler (3 shared papers)Olin Shivers (2 shared papers)Albert Lin (2 shared papers)Patrick Tullmann (4 shared papers)Ted Kremenek (1 shared paper)
- Journals
- ACM Transactions on Programming Languages and Systems (1 paper)Information Technology and Libraries (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)ACM SIGPLAN Notices (1 paper)Real-Time Systems (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Godmar Back
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 319
- Software 129
- Artificial Intelligence 556
- Computer Networks and Communications 301
- Computer Science Applications 64
Countries citing papers authored by Godmar Back
This map shows the geographic impact of Godmar Back'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 Godmar Back with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Godmar Back more than expected).
Fields of papers citing papers by Godmar Back
This network shows the impact of papers produced by Godmar Back. 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 Godmar Back. The network helps show where Godmar Back may publish in the future.
Co-authors
The 25 scholars most cited alongside Godmar Back, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 189 | |
| 2 | 2000 | 130 | |
| 3 | 1996 | 124 | |
| 4 | 2006 | 121 | |
| 5 | 2000 | 103 | |
| 6 | 2009 | 51 | |
| 7 | 2013 | 51 | |
| 8 | 2002 | 50 | |
| 9 | 2005 | 35 | |
| 10 | 2009 | 35 | |
| 11 | 2010 | 33 | |
| 12 | 2011 | 31 | |
| 13 | T E C H N I Q U E S F O R T H E D E S I G N O F J AVA O P E R AT I N G S Y S T E M S | 2000 | 30 |
| 14 | 2008 | 24 | |
| 15 | 2006 | 21 | |
| 16 | 2000 | 14 | |
| 17 | 2003 | 14 | |
| 18 | 2006 | 14 | |
| 19 | Reverse-Engineering Instruction Encodings | 2001 | 13 |
| 20 | 2002 | 13 |
About Godmar Back
Godmar Back is a scholar working on Hardware and Architecture, Computer Science Applications, Information Systems, Artificial Intelligence and Architecture, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Logic, programming, and type systems (10 papers), Teaching and Learning Programming (9 papers), Security and Verification in Computing (8 papers), Cloud Computing and Resource Management (6 papers), Web and Library Services (5 papers), Engineering Education and Pedagogy (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (319 citations), Software (129 citations), Artificial Intelligence (556 citations), Computer Networks and Communications (301 citations) and Computer Science Applications (64 citations). Godmar Back has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jay Lepreau, Wilson C. Hsieh, Bryan Ford, Dawson Engler, Olin Shivers, Albert Lin, Patrick Tullmann, Ted Kremenek, Andrew Ng and Jason Flinn. Their work appears in journals such as ACM Transactions on Programming Languages and Systems, Information Technology and Libraries, ACM SIGMETRICS Performance Evaluation Review, ACM SIGPLAN Notices and Real-Time Systems.
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.