Ben Wiedermann
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Software top 1%
- Software Testing and Debugging Techniques
Papers in
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- Software Engineering Research 7
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- Logic, programming, and type systems 5
- Security and Verification in Computing 3
- Co-authors
- Martin Hirzel (6 shared papers)Kathryn S. McKinley (6 shared papers)Robin Garner (3 shared papers)Aashish Phansalkar (3 shared papers)Maria Jump (3 shared papers)Stephen M. Blackburn (3 shared papers)Samuel Z. Guyer (3 shared papers)J. Eliot B. Moss (3 shared papers)
- Journals
- ACM SIGPLAN Notices (4 papers)Software Practice and Experience (1 paper)Communications of the ACM (1 paper)ANU Open Research (Australian National University) (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Ben Wiedermann
16 papers receiving 1.7k citations
Ben Wiedermann's Hit Papers
Peers
Comparison fields: 5 of 72
- Hardware and Architecture 854
- Software 437
- Computer Networks and Communications 864
- Information Systems 814
- Artificial Intelligence 845
Countries citing papers authored by Ben Wiedermann
This map shows the geographic impact of Ben Wiedermann'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 Ben Wiedermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Wiedermann more than expected).
Fields of papers citing papers by Ben Wiedermann
This network shows the impact of papers produced by Ben Wiedermann. 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 Ben Wiedermann. The network helps show where Ben Wiedermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Wiedermann, 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 | The DaCapo benchmarks Hit paper breakdown → | 2006 | 1139 |
| 2 | 2006 | 164 | |
| 3 | 2014 | 104 | |
| 4 | 2008 | 104 | |
| 5 | 2015 | 78 | |
| 6 | 2011 | 42 | |
| 7 | 2010 | 30 | |
| 8 | 2008 | 29 | |
| 9 | 2007 | 22 | |
| 10 | 2007 | 17 | |
| 11 | 2013 | 13 | |
| 12 | Remote Batch Invocation for SQL Databases. | 2011 | 7 |
| 13 | Jinn: Synthesizing a Dynamic Bug Detector for Foreign Language Interfaces | 2010 | 7 |
| 14 | 2010 | 5 | |
| 15 | 2017 | 4 | |
| 16 | 2008 | 4 | |
| 17 | Python with Cdrom | 2001 | 0 |
| 18 | 2011 | 0 |
About Ben Wiedermann
Ben Wiedermann is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Software, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Logic, programming, and type systems (5 papers), Software Testing and Debugging Techniques (4 papers), Distributed systems and fault tolerance (4 papers), Parallel Computing and Optimization Techniques (4 papers), Security and Verification in Computing (3 papers), Advanced Database Systems and Queries (3 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (854 citations), Software (437 citations), Computer Networks and Communications (864 citations), Information Systems (814 citations) and Artificial Intelligence (845 citations). Ben Wiedermann has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Martin Hirzel, Kathryn S. McKinley, Robin Garner, Aashish Phansalkar, Maria Jump, Stephen M. Blackburn, Samuel Z. Guyer, J. Eliot B. Moss, Amer Diwan and Antony L. Hosking. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience, Communications of the ACM and ANU Open Research (Australian National University).
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.